Stephen D. Nimer
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Histone Deacetylase Inhibitors Research
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Protein Degradation and Inhibitors
Papers in
-
- Acute Myeloid Leukemia Research 4
- Multiple Myeloma Research and Treatments 2
- Genetics 3
- Co-authors
- Fan LiuHediye Erdjument‐BromagePaul TempstSarah GreenblattNa ManPierre-Jacques HamardGuohong LiNagesh Kalakonda
- Journals
- Blood (6 papers)Cell Reports (2 papers)British Journal of Haematology (1 paper)Leukemia Research (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Stephen D. Nimer
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 74
- Hematology 172
- Molecular Biology 1.0k
- Aging 13
- Genetics 63
- Immunology 124
Countries citing papers authored by Stephen D. Nimer
This map shows the geographic impact of Stephen D. Nimer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen D. Nimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen D. Nimer more than expected).
Fields of papers citing papers by Stephen D. Nimer
This network shows the impact of papers produced by Stephen D. Nimer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen D. Nimer. The network helps show where Stephen D. Nimer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen D. Nimer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 45 | |
| 2 | 2018 | 142 | |
| 3 | 2018 | 54 | |
| 4 | 2016 | 40 | |
| 5 | 2015 | 106 | |
| 6 | 2013 | 73 | |
| 7 | 2011 | 5 | |
| 8 | 2011 | 1 | |
| 9 | 2010 | 5 | |
| 10 | 2008 | 146 | |
| 11 | 2007 | 267 | |
| 12 | 2007 | 82 | |
| 13 | 2005 | 1 | |
| 14 | 2004 | 1 | |
| 15 | 2001 | 24 | |
| 16 | 1999 | 28 | |
| 17 | 1997 | 126 | |
| 18 | 1995 | 10 | |
| 19 | 1993 | 10 | |
| 20 | Inhibition of platelet aggregation by 5-nitro-2-furaldehyde diacetate with observations on structure-activity relationships. | 1976 | 1 |
About Stephen D. Nimer
Stephen D. Nimer is a scholar working on Hematology, Genetics, Molecular Biology, Biochemistry and Immunology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related gene regulation (10 papers), Epigenetics and DNA Methylation (7 papers), Acute Myeloid Leukemia Research (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), RNA modifications and cancer (3 papers), Multiple Myeloma Research and Treatments (2 papers), Cell death mechanisms and regulation (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Hematology (172 citations), Molecular Biology (1.0k citations), Aging (13 citations), Genetics (63 citations) and Immunology (124 citations). Stephen D. Nimer has collaborated with scholars based in United States and Spain. Frequent co-authors include Fan Liu, Hediye Erdjument‐Bromage, Paul Tempst, Sarah Greenblatt, Na Man, Pierre-Jacques Hamard, Guohong Li, Nagesh Kalakonda, Alejandro Vaquero and Donghoon Lee. Their work appears in journals such as Blood, Cell Reports, British Journal of Haematology, Leukemia Research and Journal of Clinical Investigation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.