John F. Moorhead
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes 7
- Renal Diseases and Glomerulopathies 5
- Transplantation top 5%
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism 8
- Biochemistry top 2%
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- Cholesterol and Lipid Metabolism 20
- Lipoproteins and Cardiovascular Health 9
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- Liver Disease Diagnosis and Treatment 14
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- Peroxisome Proliferator-Activated Receptors 11
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- Atherosclerosis and Cardiovascular Diseases 8
- Co-authors
- Zac VargheseXiong Z. RuanStephen H. PowisYaxi ChenZachariah VargheseLei ZhaoWilliam McFarlandMan K. Chan
- Journals
- Kidney International (13 papers)American Journal of Physiology-Renal Physiology (5 papers)Scientific Reports (3 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
John F. Moorhead
70 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Nephrology 598
- Transplantation 114
- Cancer Research 613
- Endocrinology, Diabetes and Metabolism 615
- Biochemistry 260
Countries citing papers authored by John F. Moorhead
This map shows the geographic impact of John F. Moorhead'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 F. Moorhead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John F. Moorhead more than expected).
Fields of papers citing papers by John F. Moorhead
This network shows the impact of papers produced by John F. Moorhead. 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 F. Moorhead. The network helps show where John F. Moorhead may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John F. Moorhead, 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 | CD36-mediated metabolic crosstalk between tumor cells and macrophages affects liver metastasisbreakdown → | 2022 | 201 |
| 2 | 2018 | 108 | |
| 3 | 2017 | 198 | |
| 4 | 2017 | 44 | |
| 5 | 2016 | 49 | |
| 6 | 2015 | 17 | |
| 7 | 2014 | 17 | |
| 8 | 2014 | 39 | |
| 9 | 2013 | 52 | |
| 10 | 2013 | 16 | |
| 11 | 2011 | 4 | |
| 12 | 2009 | 49 | |
| 13 | 2007 | 68 | |
| 14 | 2006 | 10 | |
| 15 | 2005 | 24 | |
| 16 | 1996 | 8 | |
| 17 | 1991 | 27 | |
| 18 | 1989 | 19 | |
| 19 | 1987 | 108 | |
| 20 | 1966 | 124 |
About John F. Moorhead
John F. Moorhead is a scholar working on Nephrology, Biochemistry and Epidemiology, having authored 71 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (20 papers), Liver Disease Diagnosis and Treatment (14 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Lipoproteins and Cardiovascular Health (9 papers), Cancer, Lipids, and Metabolism (8 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), Chronic Kidney Disease and Diabetes (7 papers) and Renal Diseases and Glomerulopathies (5 papers). The work is most often cited by research in Nephrology (598 citations), Transplantation (114 citations) and Cancer Research (613 citations). John F. Moorhead has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Zac Varghese, Xiong Z. Ruan, Stephen H. Powis, Yaxi Chen, Zachariah Varghese, Lei Zhao, William McFarland, Man K. Chan, David C. Wheeler and Kun Liu. Their work appears in journals such as Kidney International, American Journal of Physiology-Renal Physiology, Scientific Reports, American Journal of Physiology-Heart and Circulatory Physiology and PLoS ONE.
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.