Martin J. Abrahamson
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 5%
- Molecular Biology top 10%
- Pharmacology top 2%
- Physiology top 5%
- Co-authors
- Guillermo E. UmpierrezJanet B. McGillLawrence BlondePaul S. JellingerMichael A. BushGeorge GrunbergerJoshua I. BarzilayDaniel Einhorn
- Topics
- Diabetes Management and Research (26 papers)Diabetes Treatment and Management (25 papers)Diabetes Management and Education (10 papers)
- Partner nations
- United StatesSouth AfricaAustralia
In The Last Decade
Martin J. Abrahamson
54 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Endocrinology, Diabetes and Metabolism 2.5k
- Surgery 876
- Molecular Biology 797
- Pharmacology 452
- Physiology 402
Countries citing papers authored by Martin J. Abrahamson
This map shows the geographic impact of Martin J. Abrahamson'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 Martin J. Abrahamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin J. Abrahamson more than expected).
Fields of papers citing papers by Martin J. Abrahamson
This network shows the impact of papers produced by Martin J. Abrahamson. 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 Martin J. Abrahamson. The network helps show where Martin J. Abrahamson may publish in the future.
Co-authorship network of co-authors of Martin J. Abrahamson
This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Abrahamson. A scholar is included among the top collaborators of Martin J. Abrahamson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin J. Abrahamson. Martin J. Abrahamson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 17 | |
| 3 | 9 | |
| 4 | 179 | |
| 5 | 59 | |
| 6 | 240 | |
| 7 | 57 | |
| 8 | 26 | |
| 9 | 17 | |
| 10 | Insulin therapy for type 2 diabetes: making it work. | 5 |
| 11 | 36 | |
| 12 | 14 | |
| 13 | 41 | |
| 14 | 2 | |
| 15 | 39 | |
| 16 | 21 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 13 | |
| 20 | 4 |
About Martin J. Abrahamson
Martin J. Abrahamson is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Family Practice, having authored 57 papers that have together received 3.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (26 papers), Diabetes Treatment and Management (25 papers) and Diabetes Management and Education (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.5k citations), Family Practice (73 citations) and Pharmacy (136 citations). Martin J. Abrahamson has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Guillermo E. Umpierrez, Janet B. McGill, Lawrence Blonde, Paul S. Jellinger, Michael A. Bush, George Grunberger, Joshua I. Barzilay, Daniel Einhorn, Paul D. Rosenblit and Jeffrey I. Mechanick. Their work appears in journals such as JAMA, Circulation and Annals of Internal 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.