John Atkinson
- Immunology top 0.2%
- Complement system in diseases 78
- Hematology top 0.5%
- Blood groups and transfusion 29
- Blood Coagulation and Thrombosis Mechanisms 10
- Nephrology top 1%
- Virology top 2%
- Infectious Diseases top 1%
-
- Monoclonal and Polyclonal Antibodies Research 32
-
- Erythrocyte Function and Pathophysiology 16
- Adenosine and Purinergic Signaling 11
-
- Glycosylation and Glycoproteins Research 12
-
- Virology and Viral Diseases 10
- Co-authors
- M. Kathryn LiszewskiJames VerbskyTsukasa SeyaWinfried BarchetWilliam J. GrossmanTimothy J. LeyMarco ColonnaIsabelle Rooney
- Cited by
- ImmunologyHematologyNephrology
- Journals
- The Journal of Immunology (27 papers)The Journal of Experimental Medicine (10 papers)Journal of Biological Chemistry (8 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
John Atkinson
160 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Immunology 5.2k
- Hematology 1.3k
- Nephrology 538
- Virology 324
- Infectious Diseases 1.2k
Countries citing papers authored by John Atkinson
This map shows the geographic impact of John Atkinson'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 Atkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Atkinson more than expected).
Fields of papers citing papers by John Atkinson
This network shows the impact of papers produced by John Atkinson. 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 Atkinson. The network helps show where John Atkinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Atkinson, 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 | 2 | |
| 2 | 2018 | 60 | |
| 3 | 2017 | 30 | |
| 4 | 2016 | 128 | |
| 5 | 2013 | 25 | |
| 6 | Common repeat polymorphism in the dopamine transporter gene SLC6A3 is associated with stop signal reaction time (SSRT) and motion coherence threshold (MCT) | 2012 | 1 |
| 7 | 2010 | 239 | |
| 8 | 2005 | 63 | |
| 9 | 2003 | 40 | |
| 10 | 2002 | 59 | |
| 11 | 2002 | 35 | |
| 12 | 2000 | 64 | |
| 13 | 1995 | 201 | |
| 14 | 1992 | 49 | |
| 15 | 1992 | 139 | |
| 16 | 1991 | 100 | |
| 17 | 1988 | 137 | |
| 18 | 1988 | 180 | |
| 19 | 1987 | 138 | |
| 20 | 1987 | 97 |
About John Atkinson
John Atkinson is a scholar working on Immunology, Hematology and Physiology, having authored 160 papers that have together received 9.6k indexed citations. Recurring topics across this work include Complement system in diseases (78 papers), Monoclonal and Polyclonal Antibodies Research (32 papers), Blood groups and transfusion (29 papers), Erythrocyte Function and Pathophysiology (16 papers), Glycosylation and Glycoproteins Research (12 papers), Adenosine and Purinergic Signaling (11 papers), Virology and Viral Diseases (10 papers) and Blood Coagulation and Thrombosis Mechanisms (10 papers). The work is most often cited by research in Immunology (5.2k citations), Hematology (1.3k citations) and Nephrology (538 citations). John Atkinson has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include M. Kathryn Liszewski, James Verbsky, Tsukasa Seya, Winfried Barchet, William J. Grossman, Timothy J. Ley, Marco Colonna, Isabelle Rooney, M W Nickells and Richard E. Hauhart. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Journal of Biological Chemistry, Molecular Immunology 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.