Pamela Cohen
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments 10
- Acute Myeloid Leukemia Research 8
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 6
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Virology top 5%
- Immunology and Allergy top 5%
- Immunology top 5%
- Immunotherapy and Immune Responses 4
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- Neuroblastoma Research and Treatments 4
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- Cancer Research and Treatments 3
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- Radiopharmaceutical Chemistry and Applications 2
- Co-authors
- Richard M. StoneYanfeng WangStephen D. NimerIlene GalinskyKevin J. TraceyM ShatskyBertil GladerMichael P. Link
- Cited by
- HematologyGeneticsVirology
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Pamela Cohen
30 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Hematology 990
- Genetics 449
- Virology 186
- Immunology and Allergy 160
- Immunology 468
Countries citing papers authored by Pamela Cohen
This map shows the geographic impact of Pamela Cohen'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 Pamela Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Cohen more than expected).
Fields of papers citing papers by Pamela Cohen
This network shows the impact of papers produced by Pamela Cohen. 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 Pamela Cohen. The network helps show where Pamela Cohen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pamela Cohen, 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 | 36 | |
| 2 | 2019 | 20 | |
| 3 | 2012 | 4 | |
| 4 | 2012 | 2 | |
| 5 | 2008 | 237 | |
| 6 | 2008 | 55 | |
| 7 | 2006 | 164 | |
| 8 | 2005 | 11 | |
| 9 | 2005 | 211 | |
| 10 | 2005 | 27 | |
| 11 | 2004 | 114 | |
| 12 | 2004 | 113 | |
| 13 | 1999 | 1 | |
| 14 | 1997 | 109 | |
| 15 | 1997 | 269 | |
| 16 | 1997 | 30 | |
| 17 | 1997 | 95 | |
| 18 | Induction of transforming growth factor beta 1 and its receptors during all-trans-retinoic acid (RA) treatment of RA-responsive human neuroblastoma cell lines. | 1995 | 58 |
| 19 | Neuropeptide Y expression in the developing adrenal gland and in childhood neuroblastoma tumors. | 1990 | 39 |
| 20 | Analysis of nerve growth factor receptor expression in human neuroblastoma and neuroepithelioma cell lines. | 1989 | 57 |
About Pamela Cohen
Pamela Cohen is a scholar working on Hematology, Genetics and Immunology, having authored 31 papers that have together received 2.6k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (10 papers), Acute Myeloid Leukemia Research (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Neuroblastoma Research and Treatments (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Research and Treatments (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Hematology (990 citations), Genetics (449 citations) and Virology (186 citations). Pamela Cohen has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Richard M. Stone, Yanfeng Wang, Stephen D. Nimer, Ilene Galinsky, Kevin J. Tracey, M Shatsky, Bertil Glader, Michael P. Link, Stephen D. Smith and Daniel J. DeAngelo. Their work appears in journals such as Blood, Cancer Research, Journal of Clinical Oncology, Journal of Nuclear Medicine and Clinical Cancer Research.
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.