Tan Pham
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
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- Cardiac Valve Diseases and Treatments
- Cardiovascular Disease and Adiposity
Papers in
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- Cardiac Valve Diseases and Treatments 6
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- Extracellular vesicles in disease 3
- Retinoids in leukemia and cellular processes 2
- Co-authors
- Elena Aïkawa (17 shared papers)Masanori Aikawa (16 shared papers)Maximillian A. Rogers (8 shared papers)Joshua D. Hutcheson (7 shared papers)Sasha A. Singh (11 shared papers)Claudia Goettsch (3 shared papers)Sumihiko Hagita (4 shared papers)Mads Kjølby (2 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (4 papers)Frontiers in Cardiovascular Medicine (2 papers)Journal of Lipid Research (1 paper)Journal of Extracellular Vesicles (1 paper)Circulation (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Tan Pham
18 papers receiving 696 citations
Peers
Comparison fields: 5 of 79
- Nephrology 88
- Cardiology and Cardiovascular Medicine 216
- Cancer Research 85
- Immunology 109
- Immunology and Allergy 28
Countries citing papers authored by Tan Pham
This map shows the geographic impact of Tan Pham'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 Tan Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan Pham more than expected).
Fields of papers citing papers by Tan Pham
This network shows the impact of papers produced by Tan Pham. 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 Tan Pham. The network helps show where Tan Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Tan Pham, 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 | 2016 | 190 | |
| 2 | 2018 | 184 | |
| 3 | 2016 | 104 | |
| 4 | 2007 | 45 | |
| 5 | 2014 | 39 | |
| 6 | 2022 | 24 | |
| 7 | 2019 | 21 | |
| 8 | 2018 | 18 | |
| 9 | 2023 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2024 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 5 | |
| 15 | 2007 | 4 | |
| 16 | 2025 | 2 | |
| 17 | 2018 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2023 | 0 |
About Tan Pham
Tan Pham is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 702 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (6 papers), Protease and Inhibitor Mechanisms (4 papers), Extracellular vesicles in disease (3 papers), Aortic Disease and Treatment Approaches (2 papers), Retinoids in leukemia and cellular processes (2 papers), Adipose Tissue and Metabolism (2 papers), Cell Adhesion Molecules Research (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Nephrology (88 citations), Cardiology and Cardiovascular Medicine (216 citations), Cancer Research (85 citations), Immunology (109 citations) and Immunology and Allergy (28 citations). Tan Pham has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Elena Aïkawa, Masanori Aikawa, Maximillian A. Rogers, Joshua D. Hutcheson, Sasha A. Singh, Claudia Goettsch, Sumihiko Hagita, Mads Kjølby, Peter Libby and Hiroshi Iwata. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Frontiers in Cardiovascular Medicine, Journal of Lipid Research, Journal of Extracellular Vesicles and Circulation.
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.