Liang Guo
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- Antiplatelet Therapy and Cardiovascular Diseases 8
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases 11
- Cancer Research top 5%
- Nutrition and Dietetics top 2%
- Trace Elements in Health 6
- Molecular Biology top 5%
- Angiogenesis and VEGF in Cancer 10
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- Coronary Interventions and Diagnostics 19
- Peripheral Artery Disease Management 6
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- Cerebrovascular and Carotid Artery Diseases 7
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- Autophagy in Disease and Therapy 7
- Co-authors
- Renu VirmaniAloke V. FinnAnne CornelissenAtsushi SakamotoEdward A. FisherFrank D. KolodgieXiaofan GuoRobert J. Cousins
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Liang Guo
136 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Cardiology and Cardiovascular Medicine 923
- Immunology 738
- Cancer Research 467
- Nutrition and Dietetics 418
- Molecular Biology 1.7k
Countries citing papers authored by Liang Guo
This map shows the geographic impact of Liang Guo'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 Liang Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Guo more than expected).
Fields of papers citing papers by Liang Guo
This network shows the impact of papers produced by Liang Guo. 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 Liang Guo. The network helps show where Liang Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Guo, 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 | 2022 | 5 | |
| 2 | 2022 | 2 | |
| 3 | Microthrombi as a Major Cause of Cardiac Injury in COVID-19breakdown → | 2021 | 173 |
| 4 | 2021 | 10 | |
| 5 | 2021 | 100 | |
| 6 | 2020 | 33 | |
| 7 | 2020 | 45 | |
| 8 | 2019 | 25 | |
| 9 | 2019 | 59 | |
| 10 | 2019 | 110 | |
| 11 | 2016 | 4 | |
| 12 | 2016 | 0 | |
| 13 | 2015 | 27 | |
| 14 | 2015 | 2 | |
| 15 | 2014 | 38 | |
| 16 | 2013 | 19 | |
| 17 | 2013 | 32 | |
| 18 | 2012 | 73 | |
| 19 | 2008 | 23 | |
| 20 | 2005 | 177 |
About Liang Guo
Liang Guo is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Immunology, having authored 140 papers that have together received 4.7k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (19 papers), Atherosclerosis and Cardiovascular Diseases (11 papers), Angiogenesis and VEGF in Cancer (10 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Autophagy in Disease and Therapy (7 papers), Trace Elements in Health (6 papers) and Peripheral Artery Disease Management (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (923 citations), Immunology (738 citations) and Cancer Research (467 citations). Liang Guo has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Renu Virmani, Aloke V. Finn, Anne Cornelissen, Atsushi Sakamoto, Edward A. Fisher, Frank D. Kolodgie, Xiaofan Guo, Robert J. Cousins, Juan P. Liuzzi and Maria Romero. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.