David Nathan
Impact in
-
- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Diabetes Management and Education
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
- Co-authors
- Rodney A. Lorenz (1 shared paper)David E. Goldstein (1 shared paper)Charles M. Peterson (1 shared paper)John I. Malone (1 shared paper)Randie R. Little (1 shared paper)David B. Sacks (1 shared paper)Maria F. Lopes‐Virella (1 shared paper)Karin S. Bierbrauer (1 shared paper)
- Journals
- Diabetes Care (1 paper)Atherosclerosis (1 paper)American Journal of Ophthalmology (1 paper)American Journal of Dermatopathology (1 paper)International Journal of Advanced Computer Science and Applications (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
David Nathan
9 papers receiving 553 citations
Peers
Comparison fields: 5 of 99
- Endocrinology, Diabetes and Metabolism 255
- Clinical Biochemistry 36
- Rheumatology 35
- Genetics 54
- Equine 3
Countries citing papers authored by David Nathan
This map shows the geographic impact of David Nathan'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 David Nathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Nathan more than expected).
Fields of papers citing papers by David Nathan
This network shows the impact of papers produced by David Nathan. 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 David Nathan. The network helps show where David Nathan may publish in the future.
Co-authors
The 25 scholars most cited alongside David Nathan, 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 | 2004 | 481 | |
| 2 | 2010 | 39 | |
| 3 | 1997 | 26 | |
| 4 | 2017 | 17 | |
| 5 | 1998 | 7 | |
| 6 | 2006 | 3 | |
| 7 | 2017 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 1969 | 1 | |
| 10 | Nina Simone: Break Down and Let It All Out | 2004 | 0 |
About David Nathan
David Nathan is a scholar working on Computer Networks and Communications, Artificial Intelligence, Rheumatology, Genetics and Pathology and Forensic Medicine, having authored 10 papers that have together received 577 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (1 paper), Sympathectomy and Hyperhidrosis Treatments (1 paper), Retinal Diseases and Treatments (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Advanced X-ray and CT Imaging (1 paper), Diabetes Management and Research (1 paper), Diabetes and associated disorders (1 paper) and Bone Tumor Diagnosis and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (255 citations), Clinical Biochemistry (36 citations), Rheumatology (35 citations), Genetics (54 citations) and Equine (3 citations). David Nathan has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Rodney A. Lorenz, David E. Goldstein, Charles M. Peterson, John I. Malone, Randie R. Little, David B. Sacks, Maria F. Lopes‐Virella, Karin S. Bierbrauer, Gabriel Virella and Nathaniel L. Baker. Their work appears in journals such as Diabetes Care, Atherosclerosis, American Journal of Ophthalmology, American Journal of Dermatopathology and International Journal of Advanced Computer Science and Applications.
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.