John Armstrong
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
-
- Protein Structure and Dynamics 2
- Receptor Mechanisms and Signaling 2
-
- Immune Cell Function and Interaction 3
- Macrophage Migration Inhibitory Factor 2
- Co-authors
- Sergey Apasov (4 shared papers)Michail V. Sitkovsky (4 shared papers)Charles C. Caldwell (3 shared papers)Dmitriy Lukashev (1 shared paper)Hidefumi Kojima (1 shared paper)Mark O. Farber (1 shared paper)Milton T. W. Hearn (3 shared papers)Wayne A. Jensen (3 shared papers)
- Journals
- Biochemical Journal (2 papers)Diabetes (1 paper)Free Radical Biology and Medicine (1 paper)Hepatology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
John Armstrong
17 papers receiving 795 citations
Peers
Comparison fields: 5 of 91
- Physiology 130
- Immunology 286
- Pharmaceutical Science 59
- Cancer Research 139
- Endocrinology, Diabetes and Metabolism 85
Countries citing papers authored by John Armstrong
This map shows the geographic impact of John Armstrong'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 Armstrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Armstrong more than expected).
Fields of papers citing papers by John Armstrong
This network shows the impact of papers produced by John Armstrong. 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 Armstrong. The network helps show where John Armstrong may publish in the future.
Co-authors
The 25 scholars most cited alongside John Armstrong, 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 | 2001 | 336 | |
| 2 | 1985 | 148 | |
| 3 | 2001 | 70 | |
| 4 | 1989 | 50 | |
| 5 | 2001 | 46 | |
| 6 | 1991 | 37 | |
| 7 | 1996 | 35 | |
| 8 | 1999 | 22 | |
| 9 | 1995 | 21 | |
| 10 | 1993 | 18 | |
| 11 | 1997 | 10 | |
| 12 | 1998 | 7 | |
| 13 | 1983 | 7 | |
| 14 | 1967 | 6 | |
| 15 | 1989 | 3 | |
| 16 | 1996 | 2 | |
| 17 | Amphidiploidy in Triticum-Agropyron Hybrids1 | 2016 | 1 |
| 18 | 2011 | 1 | |
| 19 | 2011 | 0 |
About John Armstrong
John Armstrong is a scholar working on Molecular Biology, Immunology, Clinical Biochemistry, Surgery and Physiology, having authored 19 papers that have together received 820 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Adenosine and Purinergic Signaling (3 papers), Immune Cell Function and Interaction (3 papers), Pancreatic function and diabetes (2 papers), Macrophage Migration Inhibitory Factor (2 papers), Protein Structure and Dynamics (2 papers), Receptor Mechanisms and Signaling (2 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Physiology (130 citations), Immunology (286 citations), Pharmaceutical Science (59 citations), Cancer Research (139 citations) and Endocrinology, Diabetes and Metabolism (85 citations). John Armstrong has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Sergey Apasov, Michail V. Sitkovsky, Charles C. Caldwell, Dmitriy Lukashev, Hidefumi Kojima, Mark O. Farber, Milton T. W. Hearn, Wayne A. Jensen, Donald Small and Anthony L. McCall. Their work appears in journals such as Biochemical Journal, Diabetes, Free Radical Biology and Medicine, Hepatology and The Journal of Immunology.
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.