David Char
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Animal Science and Zoology top 10%
Papers in
-
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
-
- Glycosylation and Glycoproteins Research 3
- Receptor Mechanisms and Signaling 2
- Nicotinic Acetylcholine Receptors Study 2
- Co-authors
- C L Chen (3 shared papers)R. Pat Bucy (7 shared papers)Max D. Cooper (6 shared papers)B. W. Calnek (1 shared paper)K. A. Schat (1 shared paper)Jim Patrick (2 shared papers)Santosh A. Helekar (1 shared paper)Monique Coltey (3 shared papers)
- Journals
- The Journal of Immunology (2 papers)European Journal of Immunology (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Journal of Virology (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United StatesVietnamGermany
In The Last Decade
David Char
14 papers receiving 558 citations
Peers
Comparison fields: 5 of 65
- Immunology 264
- Animal Science and Zoology 56
- Epidemiology 136
- Otorhinolaryngology 17
- Molecular Biology 247
Countries citing papers authored by David Char
This map shows the geographic impact of David Char'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 Char with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Char more than expected).
Fields of papers citing papers by David Char
This network shows the impact of papers produced by David Char. 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 Char. The network helps show where David Char may publish in the future.
Co-authors
The 25 scholars most cited alongside David Char, 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 | 1991 | 129 | |
| 2 | 1989 | 97 | |
| 3 | 1994 | 96 | |
| 4 | 1999 | 93 | |
| 5 | 1990 | 74 | |
| 6 | 1989 | 34 | |
| 7 | 1996 | 30 | |
| 8 | 1990 | 15 | |
| 9 | 1989 | 11 | |
| 10 | 1995 | 10 | |
| 11 | 1989 | 4 | |
| 12 | Induction of Fc alpha receptor expression on T cells from murine Peyer's patch, spleen and thymus. | 1991 | 2 |
| 13 | 1962 | 1 | |
| 14 | 1996 | 1 | |
| 15 | 2015 | 0 |
About David Char
David Char is a scholar working on Immunology, Molecular Biology, Animal Science and Zoology, Physiology and Genetics, having authored 15 papers that have together received 597 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Glycosylation and Glycoproteins Research (3 papers), Animal Genetics and Reproduction (2 papers), Coccidia and coccidiosis research (2 papers), Receptor Mechanisms and Signaling (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Diet and metabolism studies (1 paper). The work is most often cited by research in Immunology (264 citations), Animal Science and Zoology (56 citations), Epidemiology (136 citations), Otorhinolaryngology (17 citations) and Molecular Biology (247 citations). David Char has collaborated with scholars based in United States, Vietnam and Germany. Frequent co-authors include C L Chen, R. Pat Bucy, Max D. Cooper, B. W. Calnek, K. A. Schat, Jim Patrick, Santosh A. Helekar, Monique Coltey, Susan A. Eicher and Lie Cheng. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Cold Spring Harbor Symposia on Quantitative Biology, Journal of Virology and Journal of Neurochemistry.
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.