Lan Shen
Impact in
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- Cancer Genomics and Diagnostics
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- Acute Myocardial Infarction Research
Papers in
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- Genetic factors in colorectal cancer 2
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- Acute Myocardial Infarction Research 4
- Co-authors
- Ke‐Hung Tsui (2 shared papers)Hsihui Chang (2 shared papers)Dandan Wang (1 shared paper)Tingting Shi (1 shared paper)Feng Chen (1 shared paper)Kai Jiang (1 shared paper)Jie Qian (1 shared paper)Yaozu Xiang (1 shared paper)
- Journals
- Coronary Artery Disease (2 papers)Advances in Therapy (2 papers)American Heart Journal (2 papers)Clinical Cardiology (2 papers)The International Journal of Biological Markers (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lan Shen
40 papers receiving 551 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 70
- Cardiology and Cardiovascular Medicine 90
- Immunology 71
- Internal Medicine 10
- Developmental Neuroscience 11
Countries citing papers authored by Lan Shen
This map shows the geographic impact of Lan Shen'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 Lan Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Shen more than expected).
Fields of papers citing papers by Lan Shen
This network shows the impact of papers produced by Lan Shen. 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 Lan Shen. The network helps show where Lan Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gasdermin D inhibition confers antineutrophil-mediated cardioprotection in acute myocardial infarction | 2022 | 82 |
| 2 | 2015 | 41 | |
| 3 | 2007 | 31 | |
| 4 | 2011 | 28 | |
| 5 | 2018 | 27 | |
| 6 | 2007 | 26 | |
| 7 | 2022 | 25 | |
| 8 | 2013 | 23 | |
| 9 | 2016 | 21 | |
| 10 | 2011 | 20 | |
| 11 | 2021 | 20 | |
| 12 | 2014 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 17 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2011 | 9 |
About Lan Shen
Lan Shen is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Immunology, Pulmonary and Respiratory Medicine and Surgery, having authored 45 papers that have together received 562 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (4 papers), Cancer Genomics and Diagnostics (2 papers), COVID-19 Clinical Research Studies (2 papers), Macrophage Migration Inhibitory Factor (2 papers), Genetic factors in colorectal cancer (2 papers), Epilepsy research and treatment (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cancer Research (70 citations), Cardiology and Cardiovascular Medicine (90 citations), Immunology (71 citations), Internal Medicine (10 citations) and Developmental Neuroscience (11 citations). Lan Shen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ke‐Hung Tsui, Hsihui Chang, Dandan Wang, Tingting Shi, Feng Chen, Kai Jiang, Jie Qian, Yaozu Xiang, Kun Chen and Yue Xu. Their work appears in journals such as Coronary Artery Disease, Advances in Therapy, American Heart Journal, Clinical Cardiology and The International Journal of Biological Markers.
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.