Stephen D. Nimer
- Hematology top 0.05%
- Acute Myeloid Leukemia Research 86
- Hematopoietic Stem Cell Transplantation 32
- Multiple Myeloma Research and Treatments 25
- Genetics top 0.1%
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment 29
- Oncology top 0.5%
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation 35
- Protein Degradation and Inhibitors 31
- Cancer-related gene regulation 27
- Histone Deacetylase Inhibitors Research 21
- Co-authors
- Virginia M. KlimekCraig H. MoskowitzAndrew D. ZelenetzJoachim YahalomHideo UchidaPiernicola BoccuniRichard C. FrankTarun Kewalramani
- Partner nations
- United StatesChinaJapan
In The Last Decade
Stephen D. Nimer
234 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Hematology 6.8k
- Genetics 2.8k
- Pathology and Forensic Medicine 2.4k
- Oncology 3.4k
- Molecular Biology 7.5k
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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 14 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2018 | 18 | |
| 8 | 2016 | 14 | |
| 9 | 2014 | 57 | |
| 10 | PRMT4 blocks myeloid differentiation by assembling a methyl-RUNX1-dependent repressor complex | 2013 | 1 |
| 11 | 2012 | 48 | |
| 12 | 2011 | 12 | |
| 13 | 2008 | 16 | |
| 14 | 2008 | 113 | |
| 15 | 2005 | 26 | |
| 16 | 2001 | 28 | |
| 17 | 1999 | 112 | |
| 18 | Isolation of the human peroxisome proliferator activated receptor gamma cDNA: expression in hematopoietic cells and chromosomal mapping. | 1995 | 337 |
| 19 | 1994 | 4 | |
| 20 | Retention of graft-versus-leukemia using selective depletion of CD8-positive T lymphocytes for prevention of graft-versus-host disease following bone marrow transplantation for chronic myelogenous leukemia. | 1991 | 32 |
About Stephen D. Nimer
Stephen D. Nimer is a scholar working on Hematology, Genetics and Immunology, having authored 239 papers that have together received 14.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (86 papers), Epigenetics and DNA Methylation (35 papers), Hematopoietic Stem Cell Transplantation (32 papers), Protein Degradation and Inhibitors (31 papers), Lymphoma Diagnosis and Treatment (29 papers), Cancer-related gene regulation (27 papers), Multiple Myeloma Research and Treatments (25 papers) and Histone Deacetylase Inhibitors Research (21 papers). The work is most often cited by research in Hematology (6.8k citations), Genetics (2.8k citations) and Pathology and Forensic Medicine (2.4k citations). Stephen D. Nimer has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Virginia M. Klimek, Craig H. Moskowitz, Andrew D. Zelenetz, Joachim Yahalom, Hideo Uchida, Piernicola Boccuni, Richard C. Frank, Tarun Kewalramani, Richard M. Stone and John M. Bennett. Their work appears in journals such as Blood, British Journal of Haematology, Oncogene, Leukemia and Molecular and Cellular Biology.
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.