John Apgar
Impact in
- Immunology top 1%
- Galectins and Cancer Biology
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Immunology 23
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 6
- Galectins and Cancer Biology 5
- Mast cells and histamine 5
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- Glycosylation and Glycoproteins Research 6
- Co-authors
- Fu‐Tong Liu (6 shared papers)Lan Yu (4 shared papers)Daniel K. Hsu (4 shared papers)Ichiro Kuwabara (3 shared papers)Hideki Sano (3 shared papers)Bhavya Bhavna Sharma (3 shared papers)Shozo Izui (2 shared papers)Luciano G. Frigeri (2 shared papers)
- Journals
- The Journal of Immunology (7 papers)Blood (3 papers)Molecular Biology of the Cell (3 papers)The Journal of Cell Biology (3 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
John Apgar
39 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 114
- Immunology 1.9k
- Genetics 352
- Immunology and Allergy 185
- Molecular Biology 1.4k
- Cell Biology 245
Countries citing papers authored by John Apgar
This map shows the geographic impact of John Apgar'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 John Apgar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Apgar more than expected).
Fields of papers citing papers by John Apgar
This network shows the impact of papers produced by John Apgar. 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 John Apgar. The network helps show where John Apgar may publish in the future.
Co-authors
The 25 scholars most cited alongside John Apgar, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 439 | |
| 2 | 2004 | 405 | |
| 3 | 2003 | 319 | |
| 4 | 2003 | 317 | |
| 5 | 2017 | 236 | |
| 6 | 1992 | 208 | |
| 7 | 2004 | 192 | |
| 8 | 2004 | 160 | |
| 9 | 1980 | 125 | |
| 10 | 1999 | 117 | |
| 11 | 2007 | 116 | |
| 12 | 1999 | 112 | |
| 13 | 1991 | 60 | |
| 14 | 1992 | 50 | |
| 15 | 1990 | 42 | |
| 16 | 1995 | 42 | |
| 17 | 2000 | 40 | |
| 18 | 2000 | 40 | |
| 19 | 1991 | 36 | |
| 20 | 1985 | 36 |
About John Apgar
John Apgar is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Cell Biology, having authored 39 papers that have together received 3.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Immunotherapy and Immune Responses (6 papers), Galectins and Cancer Biology (5 papers), Mast cells and histamine (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Immunology (1.9k citations), Genetics (352 citations), Immunology and Allergy (185 citations), Molecular Biology (1.4k citations) and Cell Biology (245 citations). John Apgar has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Fu‐Tong Liu, Lan Yu, Daniel K. Hsu, Ichiro Kuwabara, Hideki Sano, Bhavya Bhavna Sharma, Shozo Izui, Luciano G. Frigeri, Mitsuomi Hirashima and Tohru Yamanaka. Their work appears in journals such as The Journal of Immunology, Blood, Molecular Biology of the Cell, The Journal of Cell Biology and The Journal of Experimental Medicine.
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.