# Findings of Research Misconduct

> Health and Human Services Department / Office of the Secretary · Federal Register notice 2018-19019 · published 2018-08-31



## Abstract

Findings of research misconduct have been made on the part of Li Wang, Ph.D., Professor of Physiology and Neurobiology, University of Connecticut (UConn) (Respondent). Dr. Wang engaged in research misconduct in research included in National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), grant applications 1 R01 DK118645-01A1, 1 R01 DK116203-01, 1 R01 DK114804-01, and 2 R01 DK080440-09A1 and National Institute of General Medical Sciences (NIGMS), NIH, grant applications 1 R01 GM125140-01 and 1 R01 GM126685-01. The administrative actions, including supervision for a period of one (1) year, were implemented beginning on August 14, 2018, and are detailed below.


## What this is

A formal finding of research misconduct under 42 CFR part 93 (HHS) or equivalent agency policy. The respondent — a researcher — was found to have engaged in fabrication, falsification, or plagiarism of research data. The federal grant funds involved are typically identified, along with the administrative actions (debarment, supervised research, manuscript correction or retraction requirements).

## Key facts

- **Federal Register document:** 2018-19019
- **Title:** Findings of Research Misconduct
- **Publication date:** 2018-08-31
- **Issuing agency:** Health and Human Services Department / Office of the Secretary

## Primary sources

- Federal Register HTML notice: https://www.federalregister.gov/documents/2018/08/31/2018-19019/findings-of-research-misconduct
- PDF: https://www.govinfo.gov/content/pkg/FR-2018-08-31/pdf/2018-19019.pdf
- Raw text: https://www.federalregister.gov/documents/full_text/text/2018/08/31/2018-19019.txt

## Citation

> Health and Human Services Department / Office of the Secretary, "Findings of Research Misconduct", Federal Register notice 2018-19019, published 2018-08-31. Retrieved via AI Analytics 2026-07-01 from https://api.ai-analytics.org/research-misconduct/2018-19019.

---

*[Research misconduct dataset](/datasets/research-misconduct) · CC0 1.0*