Lan Wei

2.1k citations
24 papers · 559 indexed · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

Lan Wei

21 papers receiving 557 citations

Peers

Lan Wei
Comparison fields: 5 of 73
  • Hepatology 175
  • Cancer Research 139
  • Epidemiology 194
  • Oncology 108
  • Molecular Biology 207
Replace Tamara Severi with:
Tamara Severi Belgium
Andromachi Kotsafti Italy
Hengyu Li China
Akira Sakamaki Japan
W-T Chen Taiwan
Kunimaro Furuta Japan
Zhifeng Xi China
Yutaka Yonemitsu Japan
Shigenari Hozawa Japan
Xiaotong Zhao China
Lan Wei relative to Tamara Severi Belgium Tamara Severi's profile →
Citations per field
00.5×5.1×
Tamara Severi · 1×
Citations per year

Countries citing papers authored by Lan Wei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lan Wei Line = papers co-authored together Lan Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201289
2 201684
3 201664
4 201456
5 201555
6 201643
7 202030
8 201528
9 201726
10 201521
11 202314
12 201412
13 20177
14 20066
15 20146
16 20235
17 20144
18 20164
19 20163
20 20251

About Lan Wei

Lan Wei is a scholar working on Molecular Biology, Epidemiology, Hepatology, Cancer Research and Oncology, having authored 24 papers that have together received 559 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer-related Molecular Pathways (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Liver physiology and pathology (3 papers), Hepatitis B Virus Studies (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Hepatology (175 citations), Cancer Research (139 citations), Epidemiology (194 citations), Oncology (108 citations) and Molecular Biology (207 citations). Lan Wei has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Kenneth K. Tanabe, Bryan C. Fuchs, Gregory Y. Lauwers, Peter Caravan, Suguru Yamada, Danielle K. DePeralta, Michael Lanuti, Benjamin Schmidt, Tsutomu Fujii and Helen Day. Their work appears in journals such as Journal of Hepatology, Hepatology, Cancer Research, Journal of the American College of Surgeons and Scientific Reports.

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.

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