Wen‐Jun Wei

1.2k citations
45 papers · 908 · h-index 16

Impact in

Papers in

Wen‐Jun Wei

43 papers receiving 898 citations

Peers

Wen‐Jun Wei
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 387
  • Cancer Research 143
  • Molecular Biology 291
  • Surgery 123
  • Oncology 71
Replace Miguel Arévalo Rodríguez with:
Miguel Arévalo Rodríguez Canada
Nicolette Meyer Germany
Marina Ivanovic United States
Damodar B. Balar India
Sumi Dinda United States
Charles YF Young United States
S. Gutschmidt Germany
F. Emmanuel France
Widya Johannes United States
Wen‐Jun Wei relative to Miguel Arévalo Rodríguez Canada Miguel Arévalo Rodríguez's profile →
Citations per field
00.5×20×40×53.5×
Miguel Arévalo Rodríguez · 1×
Citations per year

Countries citing papers authored by Wen‐Jun Wei

Since Specialization
Citations

This map shows the geographic impact of Wen‐Jun 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 Wen‐Jun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Jun Wei more than expected).

Fields of papers citing papers by Wen‐Jun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Jun 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 Wen‐Jun Wei. The network helps show where Wen‐Jun Wei may publish in the future.

Co-authors

The 25 scholars most cited alongside Wen‐Jun 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 Wen‐Jun Wei Line = papers co-authored together Wen‐Jun Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012228
2 201359
3 201552
4 201841
5 201339
6 201432
7 201630
8 201826
9 201726
10 201925
11 201823
12 201722
13 201820
14 201419
15 201817
16 201917
17 201515
18 201414
19 201814
20 201213

About Wen‐Jun Wei

Wen‐Jun Wei is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Plant Science, Surgery and Cancer Research, having authored 45 papers that have together received 908 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (16 papers), Phytochemistry and Biological Activities (5 papers), Natural product bioactivities and synthesis (5 papers), Bioactive Natural Diterpenoids Research (3 papers), Head and Neck Anomalies (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (3 papers) and Biomarkers in Disease Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (387 citations), Cancer Research (143 citations), Molecular Biology (291 citations), Surgery (123 citations) and Oncology (71 citations). Wen‐Jun Wei has collaborated with scholars based in China and United States. Frequent co-authors include Qinghai Ji, Yongxue Zhu, Duan-Shu Li, Yu Wang, Yi‐Long Wu, Ling Zhang, Kun Gao, Caiping Huang, Qiang Shen and Ning Qu. Their work appears in journals such as Tumor Biology, Journal of Natural Products, Phytochemistry, Journal of Cancer and Oncology 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.

Explore authors with similar magnitude of impact