funder-graph

FundersNY

Grants paid by Sergei S Zlinkoff Fund for Medical Research & Education Inc

EIN 13-6094651 · New York, NY · Form 990-PF, Part XV

Sergei S Zlinkoff Fund for Medical Research & Education Inc of New York, NY (EIN 13-6094651) reported 8 grants paid totaling $515,000 to 8 recipients in tax years 2018–2024, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$515,000

8 grants

Recipients

8

distinct organizations

Tax years

2018–2024

2 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20185$250,000
20243$265,000

Top recipients

The 8 recipients receiving the most from Sergei S Zlinkoff Fund for Medical Research & Education Inc, by grants paid, out of 8 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
New York University Medical Center Division of Internal MedicineUNew York, NY1$125,0002018
Rutgers Foundation 23-7318742DNew Brunswick, NJ1$95,0002024
Nyu Grossman School of MedicineUNew York, NY1$95,0002024
Haitian Global Health Alliance 98-0158310CNew York, NY1$75,0002024
Society of General Internal Medicine 23-2532466BAlexandria, VA1$50,0002018
University of Rochester Medical Center 16-0743209DRochester, NY1$25,0002018
New York University Medical Center School of DermatologyUNew York, NY1$25,0002018
Nyu School of MedicineUNew York, NY1$25,0002018

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Every grant

All 8 grant rows this organization reported, most recent first.

Grants reported by Sergei S Zlinkoff Fund for Medical Research & Education Inc
Tax yearRecipientMatchAmountTypePurposeSource filing
2024Nyu Grossman School of Medicine New York, NYU$95,000paidTO HELP ACTIVITIES OF VAR PUBLIC CHAR INST WHICH ARE EXEMPT UNDER 501(C)(3)202540719349100039
2024Rutgers Foundation New Brunswick, NJD$95,000paidTO HELP ACTIVITIES OF VAR PUBLIC CHAR INST WHICH ARE EXEMPT UNDER 501(C)(3)202540719349100039
2024Haitian Global Health Alliance New York, NYC$75,000paidTO HELP ACTIVITIES OF VAR PUBLIC CHAR INST WHICH ARE EXEMPT UNDER 501(C)(3)202540719349100039
2018New York University Medical Center Division of Internal Medicine New York, NYU$125,000paidCHARITABLE201922549349100207
2018Society of General Internal Medicine Alexandria, VAB$50,000paidCHARITABLE201922549349100207
2018University of Rochester Medical Center Rochester, NYD$25,000paidCHARITABLE201922549349100207
2018New York University Medical Center School of Dermatology New York, NYU$25,000paidCHARITABLE201922549349100207
2018Nyu School of Medicine New York, NYU$25,000paidCHARITABLE201922549349100207

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.

Source filings

Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.

Returns this page is derived from
FormTax yearPeriod endFiledSchemaIRS OBJECT_ID
990PF20242024-10-31not stated2023v6.0202540719349100039
990PF20182018-10-31not stated2017v2.3201922549349100207

Derived from IRS Form 990-PF e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/136094651.json.

The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.

This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.