Lan Wei
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Liver Disease and Transplantation
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- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
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- Metabolism, Diabetes, and Cancer 2
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- Liver Disease Diagnosis and Treatment 4
- Hepatitis B Virus Studies 3
- Co-authors
- Bryan C. Fuchs (16 shared papers)Kenneth K. Tanabe (15 shared papers)Gregory Y. Lauwers (6 shared papers)Peter Caravan (4 shared papers)Danielle K. DePeralta (6 shared papers)Michael Lanuti (4 shared papers)Suguru Yamada (3 shared papers)Benjamin Schmidt (2 shared papers)
- Journals
- Hepatology (2 papers)Cancer Research (2 papers)Journal of Hepatology (2 papers)Journal of the American Society of Nephrology (1 paper)Journal of the American College of Surgeons (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Lan Wei
22 papers receiving 579 citations
Peers
Comparison fields: 5 of 72
- Hepatology 157
- Cancer Research 131
- Epidemiology 163
- Oncology 101
- Endocrine and Autonomic Systems 18
Countries citing papers authored by Lan Wei
This map shows the geographic impact of Lan Wei'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 Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wei more than expected).
Fields of papers citing papers by Lan Wei
This network shows the impact of papers produced by Lan Wei. 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 Wei. The network helps show where Lan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Wei, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 93 | |
| 2 | 2016 | 88 | |
| 3 | 2016 | 67 | |
| 4 | 2014 | 59 | |
| 5 | 2015 | 55 | |
| 6 | 2016 | 44 | |
| 7 | 2020 | 31 | |
| 8 | 2015 | 29 | |
| 9 | 2017 | 27 | |
| 10 | 2015 | 22 | |
| 11 | 2023 | 15 | |
| 12 | 2014 | 12 | |
| 13 | 2006 | 10 | |
| 14 | 2017 | 7 | |
| 15 | 2014 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2016 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2016 | 3 | |
| 20 | 2014 | 1 |
About Lan Wei
Lan Wei is a scholar working on Molecular Biology, Epidemiology, Hepatology, Cancer Research and Oncology, having authored 25 papers that have together received 584 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Cancer, Lipids, and Metabolism (4 papers), Hepatitis B Virus Studies (3 papers), Cancer-related Molecular Pathways (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Hepatitis C virus research (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Hepatology (157 citations), Cancer Research (131 citations), Epidemiology (163 citations), Oncology (101 citations) and Endocrine and Autonomic Systems (18 citations). Lan Wei has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Bryan C. Fuchs, Kenneth K. Tanabe, Gregory Y. Lauwers, Peter Caravan, Danielle K. DePeralta, Michael Lanuti, Suguru Yamada, Benjamin Schmidt, Christian T. Farrar and Tyson A. Rietz. Their work appears in journals such as Hepatology, Cancer Research, Journal of Hepatology, Journal of the American Society of Nephrology and Journal of the American College of Surgeons.
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.