Dwight Kaufman
Impact in
- Biophysics top 5%
- Electron Spin Resonance Studies
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Electron Spin Resonance Studies 2
- Oncology 3
- Co-authors
- Robert B. Dickson (2 shared papers)Karen K. Huff (2 shared papers)Marc E. Lippman (2 shared papers)Eugenio Spencer (1 shared paper)Kenneth H. Gabbay (1 shared paper)William DeGraff (3 shared papers)Stephen M. Hahn (3 shared papers)James B. Mitchell (2 shared papers)
- Journals
- Cancer (5 papers)Archives of Biochemistry and Biophysics (3 papers)The Oncologist (2 papers)Free Radical Biology and Medicine (1 paper)Critical Reviews in Oncology/Hematology (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Dwight Kaufman
13 papers receiving 878 citations
Peers
Comparison fields: 5 of 90
- Biophysics 122
- Endocrinology, Diabetes and Metabolism 221
- Cancer Research 133
- Oncology 227
- Genetics 190
Countries citing papers authored by Dwight Kaufman
This map shows the geographic impact of Dwight 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 Dwight Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dwight Kaufman more than expected).
Fields of papers citing papers by Dwight Kaufman
This network shows the impact of papers produced by Dwight 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 Dwight Kaufman. The network helps show where Dwight Kaufman may publish in the future.
Co-authors
The 25 scholars most cited alongside Dwight 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 | Secretion of an insulin-like growth factor-I-related protein by human breast cancer cells. | 1986 | 288 |
| 2 | 1991 | 217 | |
| 3 | 1988 | 147 | |
| 4 | 1992 | 101 | |
| 5 | 1993 | 57 | |
| 6 | 1992 | 40 | |
| 7 | 1992 | 36 | |
| 8 | 1991 | 14 | |
| 9 | 1993 | 7 | |
| 10 | 1993 | 6 | |
| 11 | 1993 | 3 | |
| 12 | 1993 | 3 | |
| 13 | 2002 | 1 | |
| 14 | 2006 | 0 |
About Dwight Kaufman
Dwight Kaufman is a scholar working on Biophysics, Oncology, Cancer Research, Economics and Econometrics and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 920 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Electron Spin Resonance Studies (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Statistical Methods in Clinical Trials (1 paper), Prostate Cancer Treatment and Research (1 paper), Free Radicals and Antioxidants (1 paper) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Biophysics (122 citations), Endocrinology, Diabetes and Metabolism (221 citations), Cancer Research (133 citations), Oncology (227 citations) and Genetics (190 citations). Dwight Kaufman has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Robert B. Dickson, Karen K. Huff, Marc E. Lippman, Eugenio Spencer, Kenneth H. Gabbay, William DeGraff, Stephen M. Hahn, James B. Mitchell, Angelo J. Russo and Amram Samuni. Their work appears in journals such as Cancer, Archives of Biochemistry and Biophysics, The Oncologist, Free Radical Biology and Medicine and Critical Reviews in Oncology/Hematology.
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.