Li‐Ming Gan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Cardiovascular Health and Disease Prevention
- Cardiovascular Function and Risk Factors
Papers in
-
- Cardiovascular Disease and Adiposity 8
- Cardiovascular Health and Disease Prevention 7
- Cardiovascular Function and Risk Factors 6
- Co-authors
- Johan BjörkegrenOscar FranzénPeter FribergSverker JernJulia GrönrosSara SvedlundGöran BergströmJohannes Wikström
- Journals
- Atherosclerosis (4 papers)Scientific Reports (3 papers)Journal of Hypertension (3 papers)Clinical and Translational Science (2 papers)Cardiovascular Diabetology (2 papers)
- Partner nations
- SwedenChinaUnited States
In The Last Decade
Li‐Ming Gan
66 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 452
- Cardiology and Cardiovascular Medicine 575
- Immunology 440
- Molecular Biology 1.4k
- Neurology 133
Countries citing papers authored by Li‐Ming Gan
This map shows the geographic impact of Li‐Ming Gan'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 Li‐Ming Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Ming Gan more than expected).
Fields of papers citing papers by Li‐Ming Gan
This network shows the impact of papers produced by Li‐Ming Gan. 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 Li‐Ming Gan. The network helps show where Li‐Ming Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐Ming Gan, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 30 | |
| 9 | 2018 | 76 | |
| 10 | 2013 | 20 | |
| 11 | 2011 | 56 | |
| 12 | 2010 | 53 | |
| 13 | 2009 | 143 | |
| 14 | 2008 | 30 | |
| 15 | 2008 | 93 | |
| 16 | 2006 | 55 | |
| 17 | 2006 | 93 | |
| 18 | 2005 | 68 | |
| 19 | 2000 | 24 | |
| 20 | 2000 | 38 |
About Li‐Ming Gan
Li‐Ming Gan is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Immunology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 71 papers that have together received 3.1k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (9 papers), Nitric Oxide and Endothelin Effects (8 papers), Cardiovascular Disease and Adiposity (8 papers), Cardiovascular Health and Disease Prevention (7 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac Imaging and Diagnostics (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). The work is most often cited by research in Cancer Research (452 citations), Cardiology and Cardiovascular Medicine (575 citations), Immunology (440 citations), Molecular Biology (1.4k citations) and Neurology (133 citations). Li‐Ming Gan has collaborated with scholars based in Sweden, China and United States. Frequent co-authors include Johan Björkegren, Oscar Franzén, Peter Friberg, Sverker Jern, Julia Grönros, Sara Svedlund, Göran Bergström, Johannes Wikström, Frida Dangardt and Walter Osika. Their work appears in journals such as Atherosclerosis, Scientific Reports, Journal of Hypertension, Clinical and Translational Science and Cardiovascular Diabetology.
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.