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
-
- RNA Interference and Gene Delivery 2
- Protein Structure and Dynamics 2
- Receptor Mechanisms and Signaling 2
-
- Immune Cell Function and Interaction 3
- Co-authors
- Michail V. Sitkovsky (4 shared papers)Sergey Apasov (4 shared papers)Charles C. Caldwell (3 shared papers)Hidefumi Kojima (1 shared paper)Dmitriy Lukashev (1 shared paper)Mark O. Farber (1 shared paper)Wayne A. Jensen (3 shared papers)Milton T. W. Hearn (3 shared papers)
- Journals
- Biochemical Journal (2 papers)Hepatology (1 paper)Free Radical Biology and Medicine (1 paper)Blood (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
John Armstrong
18 papers receiving 801 citations
Peers
Comparison fields: 5 of 91
- Physiology 128
- Immunology 272
- Cancer Research 135
- Pharmaceutical Science 56
- Endocrinology, Diabetes and Metabolism 78
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 | 340 | |
| 2 | 1985 | 149 | |
| 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 | 1983 | 7 | |
| 13 | 1998 | 7 | |
| 14 | 1967 | 6 | |
| 15 | 1989 | 3 | |
| 16 | 1996 | 2 | |
| 17 | Amphidiploidy in Triticum-Agropyron Hybrids1 | 2016 | 1 |
| 18 | 2023 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2011 | 0 |
About John Armstrong
John Armstrong is a scholar working on Molecular Biology, Immunology, Clinical Biochemistry, Surgery and Oncology, having authored 20 papers that have together received 826 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), Renal Transplantation Outcomes and Treatments (2 papers), RNA Interference and Gene Delivery (2 papers), Protein Structure and Dynamics (2 papers), Receptor Mechanisms and Signaling (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Physiology (128 citations), Immunology (272 citations), Cancer Research (135 citations), Pharmaceutical Science (56 citations) and Endocrinology, Diabetes and Metabolism (78 citations). John Armstrong has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Michail V. Sitkovsky, Sergey Apasov, Charles C. Caldwell, Hidefumi Kojima, Dmitriy Lukashev, Mark O. Farber, Wayne A. Jensen, Milton T. W. Hearn, Robert T. Salzman and Renate Kimmerle. Their work appears in journals such as Biochemical Journal, Hepatology, Free Radical Biology and Medicine, Blood and Biochemistry.
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.