Neil A. Fanger
- Immunology top 1%
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 6
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 3
- Cancer Research top 10%
- Oncology top 10%
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- Monoclonal and Polyclonal Antibodies Research 5
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- Cytomegalovirus and herpesvirus research 4
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- Glycosylation and Glycoproteins Research 2
- Cell death mechanisms and regulation 2
- Co-authors
- Marek KubinLuís BorgesDavid CosmanCharles R. MaliszewskiThomas S. GriffithPaul M. GuyreKen SchooleyWilson Chin
- Journals
- Journal of Clinical Investigation (1 paper)The Journal of Experimental Medicine (2 papers)Blood (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Neil A. Fanger
19 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Immunology 2.4k
- Immunology and Allergy 105
- Cancer Research 181
- Oncology 319
- Radiology, Nuclear Medicine and Imaging 257
Countries citing papers authored by Neil A. Fanger
This map shows the geographic impact of Neil A. Fanger'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 Neil A. Fanger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil A. Fanger more than expected).
Fields of papers citing papers by Neil A. Fanger
This network shows the impact of papers produced by Neil A. Fanger. 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 Neil A. Fanger. The network helps show where Neil A. Fanger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neil A. Fanger, 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 | 2023 | 3 | |
| 2 | 2021 | 8 | |
| 3 | 2016 | 22 | |
| 4 | 2005 | 28 | |
| 5 | 2003 | 1 | |
| 6 | 1999 | 408 | |
| 7 | 1999 | 55 | |
| 8 | 1999 | 338 | |
| 9 | 1999 | 22 | |
| 10 | 1999 | 10 | |
| 11 | 1998 | 165 | |
| 12 | 1998 | 252 | |
| 13 | 1998 | 100 | |
| 14 | A Novel Immunoglobulin Superfamily Receptor for Cellular and Viral MHC Class I Moleculesbreakdown → | 1997 | 570 |
| 15 | 1997 | 112 | |
| 16 | 1997 | 292 | |
| 17 | 1997 | 133 | |
| 18 | 1996 | 158 | |
| 19 | 1996 | 169 |
About Neil A. Fanger
Neil A. Fanger is a scholar working on Immunology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 2.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Cell Adhesion Molecules Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Immunology (2.4k citations), Immunology and Allergy (105 citations) and Cancer Research (181 citations). Neil A. Fanger has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Marek Kubin, Luís Borges, David Cosman, Charles R. Maliszewski, Thomas S. Griffith, Paul M. Guyre, Ken Schooley, Wilson Chin, Lisa M. Sedger and Steven R. Wiley. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.
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.