David M. Coder
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Complement system in diseases
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
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- Retinoids in leukemia and cellular processes 2
- Mitochondrial Function and Pathology 2
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- T-cell and B-cell Immunology 3
- Co-authors
- Lucien R. Jacobs (2 shared papers)Simon C. Johnson (1 shared paper)Kimberly A. Muczynski (1 shared paper)Susan K. Anderson (1 shared paper)Joanne R. Lupton (1 shared paper)Alejandro Aruffo (2 shared papers)Andrew G. Farr (2 shared papers)J. R. Lupton (1 shared paper)
- Journals
- BioScience (3 papers)Cytometry (3 papers)Current Protocols in Cytometry (2 papers)Journal of the American Society of Nephrology (1 paper)Infection and Immunity (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
David M. Coder
24 papers receiving 758 citations
Peers
Comparison fields: 5 of 115
- Transplantation 80
- Immunology 176
- Biophysics 48
- Molecular Biology 278
- Nutrition and Dietetics 56
Countries citing papers authored by David M. Coder
This map shows the geographic impact of David M. Coder'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 M. Coder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Coder more than expected).
Fields of papers citing papers by David M. Coder
This network shows the impact of papers produced by David M. Coder. 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 M. Coder. The network helps show where David M. Coder may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Coder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 141 | |
| 2 | 2013 | 108 | |
| 3 | 2006 | 92 | |
| 4 | 1988 | 76 | |
| 5 | 1995 | 73 | |
| 6 | 1985 | 52 | |
| 7 | 1996 | 40 | |
| 8 | 2005 | 35 | |
| 9 | 1978 | 30 | |
| 10 | 2009 | 26 | |
| 11 | 1986 | 23 | |
| 12 | 2001 | 13 | |
| 13 | 1994 | 12 | |
| 14 | Concentration of RB protein in nucleus vs. cytoplasm is stable as phosphorylation of RB changes during the cell cycle and differentiation. | 1997 | 12 |
| 15 | 1988 | 11 | |
| 16 | 2002 | 9 | |
| 17 | 1991 | 8 | |
| 18 | 2002 | 7 | |
| 19 | 1994 | 5 | |
| 20 | 2002 | 4 |
About David M. Coder
David M. Coder is a scholar working on Molecular Biology, Immunology, Epidemiology, Genetics and Renewable Energy, Sustainability and the Environment, having authored 24 papers that have together received 785 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Algal biology and biofuel production (3 papers), Trypanosoma species research and implications (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Retinoids in leukemia and cellular processes (2 papers), Digestive system and related health (2 papers), Mitochondrial Function and Pathology (2 papers) and Diatoms and Algae Research (2 papers). The work is most often cited by research in Transplantation (80 citations), Immunology (176 citations), Biophysics (48 citations), Molecular Biology (278 citations) and Nutrition and Dietetics (56 citations). David M. Coder has collaborated with scholars based in United States and Canada. Frequent co-authors include Lucien R. Jacobs, Simon C. Johnson, Kimberly A. Muczynski, Susan K. Anderson, Joanne R. Lupton, Alejandro Aruffo, Andrew G. Farr, J. R. Lupton, Mortimer P. Starr and Thaddeus C. George. Their work appears in journals such as BioScience, Cytometry, Current Protocols in Cytometry, Journal of the American Society of Nephrology and Infection and Immunity.
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.