Steve Kaufman
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
-
- Bone health and osteoporosis research
Papers in
-
- Bone Metabolism and Diseases 5
- Oncology 5
- Bone health and treatments 5
- Co-authors
- David L. Lacey (7 shared papers)Sheila Scully (6 shared papers)Colin R. Dunstan (5 shared papers)Gwyneth Van (5 shared papers)William J. Boyle (3 shared papers)Paul J. Kostenuik (1 shared paper)Casey Capparelli (1 shared paper)Sean Morony (1 shared paper)
- Journals
- Blood (2 papers)Journal of Cellular Biochemistry (2 papers)British Journal of Haematology (2 papers)Cell Proliferation (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesUkraineArgentina
In The Last Decade
Steve Kaufman
10 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 66
- Hematology 223
- Orthopedics and Sports Medicine 131
- Oncology 350
- Nephrology 90
- Genetics 83
Countries citing papers authored by Steve Kaufman
This map shows the geographic impact of Steve Kaufman'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 Steve Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Kaufman more than expected).
Fields of papers citing papers by Steve Kaufman
This network shows the impact of papers produced by Steve Kaufman. 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 Steve Kaufman. The network helps show where Steve Kaufman may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Kaufman, 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 | 2000 | 440 | |
| 2 | 1995 | 145 | |
| 3 | 1999 | 109 | |
| 4 | 2000 | 107 | |
| 5 | 1996 | 91 | |
| 6 | 2002 | 89 | |
| 7 | 2000 | 46 | |
| 8 | 1999 | 4 | |
| 9 | AMG 655, a fully human agonistic antibody against TRAIL receptor-2, induces apoptosis via caspase activation in vitro and in vivo | 2007 | 3 |
| 10 | -Prolonged fever syndrome and infection of abdominal aortic aneurysm due to Salmonella enteritidis. | 1995 | 1 |
About Steve Kaufman
Steve Kaufman is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Hematology and Cancer Research, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Bone health and treatments (5 papers), NF-κB Signaling Pathways (2 papers), Blood groups and transfusion (2 papers), Platelet Disorders and Treatments (2 papers), Head and Neck Cancer Studies (1 paper), Aortic aneurysm repair treatments (1 paper) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Hematology (223 citations), Orthopedics and Sports Medicine (131 citations), Oncology (350 citations), Nephrology (90 citations) and Genetics (83 citations). Steve Kaufman has collaborated with scholars based in United States, Ukraine and Argentina. Frequent co-authors include David L. Lacey, Sheila Scully, Colin R. Dunstan, Gwyneth Van, William J. Boyle, Paul J. Kostenuik, Casey Capparelli, Sean Morony, Hosung Min and Ildiko Sarosi. Their work appears in journals such as Blood, Journal of Cellular Biochemistry, British Journal of Haematology, Cell Proliferation and 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.