Dwight Kaufman
Impact in
- Biophysics top 2%
- Electron Spin Resonance Studies
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- S100 Proteins and Annexins 1
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- Acute Lymphoblastic Leukemia research 1
- Co-authors
- Marc E. Lippman (2 shared papers)Karen Huff (2 shared papers)Robert B. Dickson (2 shared papers)Kenneth H. Gabbay (1 shared paper)Eugenio Spencer (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)Molecular Endocrinology (1 paper)Critical Reviews in Oncology/Hematology (1 paper)Free Radical Biology and Medicine (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Dwight Kaufman
12 papers receiving 851 citations
Peers
Comparison fields: 5 of 90
- Biophysics 118
- Endocrinology, Diabetes and Metabolism 205
- Cancer Research 120
- Oncology 208
- Genetics 182
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 | 273 |
| 2 | 1991 | 213 | |
| 3 | 1988 | 134 | |
| 4 | 1992 | 99 | |
| 5 | 1993 | 57 | |
| 6 | 1992 | 39 | |
| 7 | 1992 | 33 | |
| 8 | 1991 | 12 | |
| 9 | 1993 | 6 | |
| 10 | 1993 | 6 | |
| 11 | 1993 | 3 | |
| 12 | 1993 | 3 |
About Dwight Kaufman
Dwight Kaufman is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Economics and Econometrics, Oncology and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 878 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (2 papers), Electron Spin Resonance Studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Thyroid Disorders and Treatments (1 paper), Neuropeptides and Animal Physiology (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Cancer Genomics and Diagnostics (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Biophysics (118 citations), Endocrinology, Diabetes and Metabolism (205 citations), Cancer Research (120 citations), Oncology (208 citations) and Genetics (182 citations). Dwight Kaufman has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Marc E. Lippman, Karen Huff, Robert B. Dickson, Kenneth H. Gabbay, Eugenio Spencer, William DeGraff, Stephen M. Hahn, James B. Mitchell, Angelo Russo and Amram Samuni. Their work appears in journals such as Cancer, Archives of Biochemistry and Biophysics, Molecular Endocrinology, Critical Reviews in Oncology/Hematology and Free Radical Biology and Medicine.
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.