David Char

683 citations
13 papers · 538 · h-index 9

Impact in

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 6
    • Glycosylation and Glycoproteins Research 2
    • Signaling Pathways in Disease 1

David Char

12 papers receiving 520 citations

Peers

David Char
Comparison fields: 5 of 61
  • Immunology 245
  • Animal Science and Zoology 43
  • Otorhinolaryngology 17
  • Epidemiology 126
  • Molecular Biology 231
Replace Catharina Svensson with:
Catharina Svensson Sweden
Gábor Boros Hungary
Kamel Sanhadji France
Maria G. McPhillips United States
Naoki Takizawa Japan
P N Tsichlis United States
Wenhai Feng China
Antonio Muller Italy
K Kitajima Japan
J. Salomonsen Switzerland
David Char relative to Catharina Svensson Sweden Catharina Svensson's profile →
Citations per field
00.5×
Catharina Svensson · 1×
Citations per year

Countries citing papers authored by David Char

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Char Line = papers co-authored together David Char links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1991120
2 199991
3 199490
4 198981
5 199066
6 198931
7 199626
8 199013
9 199510
10 19897
11
Induction of Fc alpha receptor expression on T cells from murine Peyer's patch, spleen and thymus.
19912
12 19621
13 20150

About David Char

David Char is a scholar working on Immunology, Molecular Biology, Animal Science and Zoology, Genetics and Small Animals, having authored 13 papers that have together received 538 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Coccidia and coccidiosis research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Animal Genetics and Reproduction (2 papers), Peptidase Inhibition and Analysis (1 paper), Signaling Pathways in Disease (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (245 citations), Animal Science and Zoology (43 citations), Otorhinolaryngology (17 citations), Epidemiology (126 citations) and Molecular Biology (231 citations). David Char has collaborated with scholars based in United States and France. Frequent co-authors include C L Chen, R. Pat Bucy, Max D. Cooper, K. A. Schat, B. W. Calnek, Jim Patrick, Santosh A. Helekar, Susan A. Eicher, Lie Cheng and Monique Coltey. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, The Journal of Experimental Medicine, International Journal of Cancer and Neuron.

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.

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