David L. Morris
- Molecular Biology
- Immunology top 5%
- Epidemiology top 10%
- Physiology top 10%
- Surgery
- Co-authors
- Carey N. LumengKae Won ChoKanakadurga SingerJennifer L. DelPropostoGabriel Martinez-SantibañezJohn S. McKinley-McKeeLynn M. GeletkaW.E. Hornby
- Topics
- Pancreatic function and diabetes (7 papers)Adipokines, Inflammation, and Metabolic Diseases (6 papers)Diabetes and associated disorders (5 papers)
- Cited by
- ImmunologyPhysiologyEpidemiology
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
David L. Morris
36 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 466
- Immunology 457
- Epidemiology 440
- Physiology 330
- Surgery 153
Countries citing papers authored by David L. Morris
This map shows the geographic impact of David L. Morris'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 L. Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Morris more than expected).
Fields of papers citing papers by David L. Morris
This network shows the impact of papers produced by David L. Morris. 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 L. Morris. The network helps show where David L. Morris may publish in the future.
Co-authorship network of co-authors of David L. Morris
This figure shows the co-authorship network connecting the top 25 collaborators of David L. Morris. A scholar is included among the top collaborators of David L. Morris 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 David L. Morris. David L. Morris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | Minireview: Emerging Concepts in Islet Macrophage Biology in Type 2 Diabetes | 1 |
| 3 | 26 | |
| 4 | 24 | |
| 5 | 35 | |
| 6 | 52 | |
| 7 | 42 | |
| 8 | Flow cytometry analyses of adipose tissue macrophages | 3 |
| 9 | 95 | |
| 10 | 139 | |
| 11 | 180 | |
| 12 | Deoxyhypusine synthase promotes differentiation and proliferation of T helper type 1 (Th1) cells in autoimmune diabetes | 2 |
| 13 | 18 | |
| 14 | 25 | |
| 15 | 30 | |
| 16 | 37 | |
| 17 | 24 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 26 |
About David L. Morris
David L. Morris is a scholar working on Immunology, Biological Psychiatry and Microbiology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Immunology (457 citations), Physiology (330 citations) and Epidemiology (440 citations). David L. Morris has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Carey N. Lumeng, Kae Won Cho, Kanakadurga Singer, Jennifer L. DelProposto, Gabriel Martinez-Santibañez, John S. McKinley-McKee, Lynn M. Geletka, W.E. Hornby, John M. Campbell and Brian F. Zamarron. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Analytical Chemistry.
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.