David M. Coder
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Cell Image Analysis Techniques 6
- Advanced Fluorescence Microscopy Techniques 5
-
- Trypanosoma species research and implications 2
- Cervical Cancer and HPV Research 1
- Co-authors
- Lucien R. Jacobs (2 shared papers)Simon C. Johnson (1 shared paper)Susan K. Anderson (1 shared paper)Kimberly A. Muczynski (1 shared paper)Joanne R. Lupton (1 shared paper)Andrew G. Farr (2 shared papers)Alejandro A. Aruffo (2 shared papers)Monika Wleklinski‐Lee (2 shared papers)
- Journals
- Cytometry (3 papers)BioScience (3 papers)Current Protocols in Cytometry (2 papers)Current Microbiology (1 paper)Cytotherapy (1 paper)
- Partner nations
- United States
In The Last Decade
David M. Coder
23 papers receiving 764 citations
Peers
Comparison fields: 5 of 104
- Transplantation 82
- Biophysics 59
- Immunology 123
- Nutrition and Dietetics 80
- Chemical Health and Safety 4
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 145 | |
| 2 | 2013 | 112 | |
| 3 | 2006 | 101 | |
| 4 | 1988 | 75 | |
| 5 | 1995 | 72 | |
| 6 | 1985 | 52 | |
| 7 | 1996 | 42 | |
| 8 | 2005 | 36 | |
| 9 | 1978 | 30 | |
| 10 | 2009 | 26 | |
| 11 | 1986 | 23 | |
| 12 | 2001 | 15 | |
| 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 | 9 | |
| 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 Biophysics, Epidemiology, Nutrition and Dietetics, Molecular Biology and Transplantation, having authored 23 papers that have together received 799 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Trypanosoma species research and implications (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Bacteriophages and microbial interactions (2 papers), Cell death mechanisms and regulation (2 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Cervical Cancer and HPV Research (1 paper). The work is most often cited by research in Transplantation (82 citations), Biophysics (59 citations), Immunology (123 citations), Nutrition and Dietetics (80 citations) and Chemical Health and Safety (4 citations). David M. Coder has collaborated with scholars based in United States. Frequent co-authors include Lucien R. Jacobs, Simon C. Johnson, Susan K. Anderson, Kimberly A. Muczynski, Joanne R. Lupton, Andrew G. Farr, Alejandro A. Aruffo, Monika Wleklinski‐Lee, J. R. Lupton and Thaddeus C. George. Their work appears in journals such as Cytometry, BioScience, Current Protocols in Cytometry, Current Microbiology and Cytotherapy.
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.