Jian‐Jun Wei

5.6k citations
103 papers · 4.1k indexed · 2 hit papers · h-index 35

Impact in

Papers in

Jian‐Jun Wei

96 papers receiving 4.0k citations

Hit Papers

Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining 2024 · 54 citations
542019202620212023100200300400500

Peers

Jian‐Jun Wei
Comparison fields: 5 of 123
  • Reproductive Medicine 1.2k
  • Obstetrics and Gynecology 962
  • Cancer Research 1.1k
  • Molecular Biology 2.0k
  • Immunology 588
Replace Ashish Rajput with:
Ashish Rajput Canada
Uma Chandran United States
Massimiliano Gentile Finland
Lu Sun China
Afshan McCarthy United Kingdom
Yoshitaka Hippo Japan
Donald R. Schwartz United States
Youngkyu Park South Korea
Yang Zhao China
Giovanna Chiorino Italy
Jian‐Jun Wei relative to Ashish Rajput Canada Ashish Rajput's profile →
Citations per field
00.5×6.7×
Ashish Rajput · 1×
Citations per year

Countries citing papers authored by Jian‐Jun Wei

Since Specialization
Citations

This map shows the geographic impact of Jian‐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 Jian‐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 Jian‐Jun Wei more than expected).

Fields of papers citing papers by Jian‐Jun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20250
4 20244
5 20243
6 20242
7 20245
8
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining
Hit paper breakdown →
202454
9 20227
10
Leiomyoma with Bizarre Nuclei: A Stagnant Precursor to Leiomyosarcoma?
20211
11 201717
12 201722
13 201578
14 201235
15 201111
16 201067
17 2009451
18
[Surgical treatment and etiological analysis of polyotia].
20090
19 2007123
20 19966

About Jian‐Jun Wei

Jian‐Jun Wei is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Cancer Research, Health Informatics and Pulmonary and Respiratory Medicine, having authored 103 papers that have together received 4.1k indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (27 papers), Endometriosis Research and Treatment (18 papers), Ovarian cancer diagnosis and treatment (16 papers), Endometrial and Cervical Cancer Treatments (13 papers), Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (9 papers), Prostate Cancer Treatment and Research (9 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Reproductive Medicine (1.2k citations), Obstetrics and Gynecology (962 citations), Cancer Research (1.1k citations), Molecular Biology (2.0k citations) and Immunology (588 citations). Jian‐Jun Wei has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Peng Lee, Serdar E. Bulun, Ping Yin, Eva Hernando, Magdy P. Milad, Lia A. Bernardi, Shimeng Liu, Bahar D. Yilmaz, K. Miyazaki and Changshun Shao. Their work appears in journals such as Human Pathology, Proceedings of the National Academy of Sciences, PLoS ONE, Clinical Cancer Research and Nature Communications.

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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