Lan Shen
Impact in
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- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
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- Acute Myocardial Infarction Research
Papers in
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- Acute Myocardial Infarction Research 8
- Heart Failure Treatment and Management 4
- Antiplatelet Therapy and Cardiovascular Diseases 3
- Cardiovascular Function and Risk Factors 3
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- S100 Proteins and Annexins 3
- Co-authors
- Hsihui Chang (2 shared papers)Ke‐Hung Tsui (2 shared papers)Lili Guo (4 shared papers)Lili Ma (2 shared papers)Eric D. Peterson (4 shared papers)Min Fang (2 shared papers)Yang Lü (2 shared papers)Ben He (6 shared papers)
- Journals
- The International Journal of Biological Markers (2 papers)Clinical Cardiology (2 papers)American Heart Journal (2 papers)Oncotarget (2 papers)Coronary Artery Disease (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Lan Shen
36 papers receiving 398 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 82
- Cardiology and Cardiovascular Medicine 77
- Internal Medicine 12
- Developmental Neuroscience 11
- Cellular and Molecular Neuroscience 45
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 40 | |
| 2 | 2007 | 30 | |
| 3 | 2011 | 26 | |
| 4 | 2007 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2018 | 22 | |
| 7 | 2013 | 21 | |
| 8 | 2014 | 18 | |
| 9 | 2011 | 17 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2011 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2017 | 8 |
About Lan Shen
Lan Shen is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 406 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (8 papers), Cardiac Imaging and Diagnostics (6 papers), Heart Failure Treatment and Management (4 papers), S100 Proteins and Annexins (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Gastric Cancer Management and Outcomes (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Cancer Research (82 citations), Cardiology and Cardiovascular Medicine (77 citations), Internal Medicine (12 citations), Developmental Neuroscience (11 citations) and Cellular and Molecular Neuroscience (45 citations). Lan Shen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hsihui Chang, Ke‐Hung Tsui, Lili Guo, Lili Ma, Eric D. Peterson, Min Fang, Yang Lü, Ben He, Yongjian Deng and Guojun Chen. Their work appears in journals such as The International Journal of Biological Markers, Clinical Cardiology, American Heart Journal, Oncotarget and Coronary Artery Disease.
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.