Michael H. Silverman
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Oncology 22
- Peptidase Inhibition and Analysis 5
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- Protein Degradation and Inhibitors 5
- Co-authors
- Pnina Fishman (13 shared papers)Ayalew Tefferi (4 shared papers)Animesh Pardanani (4 shared papers)Jörge E. Cortes (5 shared papers)Jason Gotlib (4 shared papers)Jolene Shorr (5 shared papers)Moshe Talpaz (4 shared papers)Catriona Jamieson (4 shared papers)
- Journals
- Journal of Clinical Oncology (12 papers)Blood (5 papers)Antimicrobial Agents and Chemotherapy (4 papers)Gynecologic Oncology (3 papers)Advanced Therapeutics (2 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Michael H. Silverman
67 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Physiology 241
- Genetics 327
- Hematology 233
- Health Informatics 18
- Immunology 235
Countries citing papers authored by Michael H. Silverman
This map shows the geographic impact of Michael H. Silverman'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 Michael H. Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael H. Silverman more than expected).
Fields of papers citing papers by Michael H. Silverman
This network shows the impact of papers produced by Michael H. Silverman. 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 Michael H. Silverman. The network helps show where Michael H. Silverman may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael H. Silverman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 310 | |
| 2 | 2004 | 144 | |
| 3 | 1993 | 90 | |
| 4 | 2018 | 83 | |
| 5 | 2012 | 77 | |
| 6 | 2007 | 77 | |
| 7 | 2011 | 76 | |
| 8 | 2005 | 56 | |
| 9 | 2004 | 55 | |
| 10 | 2008 | 45 | |
| 11 | 2019 | 38 | |
| 12 | 2018 | 32 | |
| 13 | 2009 | 32 | |
| 14 | 2021 | 29 | |
| 15 | 2016 | 28 | |
| 16 | 2022 | 27 | |
| 17 | 2020 | 20 | |
| 18 | 2024 | 18 | |
| 19 | 2008 | 18 | |
| 20 | 2013 | 18 |
About Michael H. Silverman
Michael H. Silverman is a scholar working on Oncology, Molecular Biology, Physiology, Epidemiology and Infectious Diseases, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (10 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Prostate Cancer Treatment and Research (5 papers), Peptidase Inhibition and Analysis (5 papers), Protein Degradation and Inhibitors (5 papers), Archaeology and Historical Studies (5 papers) and Ovarian cancer diagnosis and treatment (3 papers). The work is most often cited by research in Physiology (241 citations), Genetics (327 citations), Hematology (233 citations), Health Informatics (18 citations) and Immunology (235 citations). Michael H. Silverman has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Pnina Fishman, Ayalew Tefferi, Animesh Pardanani, Jörge E. Cortes, Jason Gotlib, Jolene Shorr, Moshe Talpaz, Catriona Jamieson, Richard M. Stone and D. Gary Gilliland. Their work appears in journals such as Journal of Clinical Oncology, Blood, Antimicrobial Agents and Chemotherapy, Gynecologic Oncology and Advanced Therapeutics.
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.