John Blakemore
Impact in
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
- Phagocytosis and Immune Regulation
- Immune cells in cancer
- Virology top 10%
- HIV Research and Treatment
Papers in
-
- Phagocytosis and Immune Regulation 4
- Atherosclerosis and Cardiovascular Diseases 3
- Immune cells in cancer 2
- Surgery 5
- Pancreatitis Pathology and Treatment 2
- Lipoproteins and Cardiovascular Health 2
- Co-authors
- MacRae F. Linton (9 shared papers)Patricia G. Yancey (7 shared papers)Lei Ding (5 shared papers)Daping Fan (3 shared papers)Sergio Fazio (4 shared papers)Sergio Fazio (3 shared papers)Youmin Zhang (2 shared papers)Hagai Tavori (2 shared papers)
- Journals
- Journal of Lipid Research (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Circulation (2 papers)Nature Communications (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
John Blakemore
11 papers receiving 707 citations
Peers
Comparison fields: 5 of 79
- Immunology 328
- Virology 55
- Cancer Research 92
- Surgery 256
- Epidemiology 125
Countries citing papers authored by John Blakemore
This map shows the geographic impact of John Blakemore'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 Blakemore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Blakemore more than expected).
Fields of papers citing papers by John Blakemore
This network shows the impact of papers produced by John Blakemore. 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 Blakemore. The network helps show where John Blakemore may publish in the future.
Co-authors
The 25 scholars most cited alongside John Blakemore, 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 | 2013 | 158 | |
| 2 | 2010 | 135 | |
| 3 | 2015 | 109 | |
| 4 | 2011 | 64 | |
| 5 | 2000 | 64 | |
| 6 | 2021 | 55 | |
| 7 | 2020 | 50 | |
| 8 | 2009 | 37 | |
| 9 | 2015 | 25 | |
| 10 | 2008 | 17 | |
| 11 | 2023 | 1 |
About John Blakemore
John Blakemore is a scholar working on Immunology, Surgery, Molecular Biology, Epidemiology and Cancer Research, having authored 11 papers that have together received 715 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Pancreatitis Pathology and Treatment (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Immune cells in cancer (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Erythrocyte Function and Pathophysiology (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Immunology (328 citations), Virology (55 citations), Cancer Research (92 citations), Surgery (256 citations) and Epidemiology (125 citations). John Blakemore has collaborated with scholars based in United States, Canada and France. Frequent co-authors include MacRae F. Linton, Patricia G. Yancey, Lei Ding, Daping Fan, Sergio Fazio, Sergio Fazio, Youmin Zhang, Hagai Tavori, Youmin Zhang and Tao Huan. Their work appears in journals such as Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Circulation, Nature Communications and Journal of Clinical Investigation.
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.