Jian‐Jun Wei

5.8k citations
104 papers · 4.3k · 4 hit papers · h-index 36

Impact in

Papers in

Jian‐Jun Wei

98 papers receiving 4.2k citations

Jian‐Jun Wei's Hit Papers

Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining 2024 · 54 citations
540+2+4Years since publication100200300400500

Peers

Jian‐Jun Wei
Comparison fields: 5 of 128
  • Reproductive Medicine 1.1k
  • Obstetrics and Gynecology 838
  • Cancer Research 1.0k
  • Molecular Biology 1.9k
  • Immunology 493
Replace Jie Ding with:
Jie Ding China
Massimiliano Gentile Finland
Uma Chandran United States
Carol A. Sartorius United States
Afshan McCarthy United Kingdom
Yi Cai China
Lu Sun China
Yoshitaka Hippo Japan
Fang Fang United States
Donald R. Schwartz United States
Jian‐Jun Wei relative to Jie Ding China Jie Ding's profile →
Citations per field
00.5×10×13.8×
Jie Ding · 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

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Endometriosis
Hit paper breakdown →
2019583
2 2009475
3 2012263
4 2007217
5
Ovarian stiffness increases with age in the mammalian ovary and depends on collagen and hyaluronan matrices
Hit paper breakdown →
2020182
6 2012138
7
Adenomyosis pathogenesis: insights from next-generation sequencing
Hit paper breakdown →
2021130
8 2007127
9 201788
10 200983
11 201580
12 200876
13 201472
14 201071
15 201570
16 201065
17 200865
18 201565
19 201763
20 202262

About Jian‐Jun Wei

Jian‐Jun Wei is a scholar working on Molecular Biology, Obstetrics and Gynecology, Reproductive Medicine, Pulmonary and Respiratory Medicine and Cancer Research, having authored 104 papers that have together received 4.3k indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (26 papers), Ovarian cancer diagnosis and treatment (16 papers), Endometriosis Research and Treatment (13 papers), Endometrial and Cervical Cancer Treatments (11 papers), Cancer-related molecular mechanisms research (9 papers), Epigenetics and DNA Methylation (7 papers), Prostate Cancer Treatment and Research (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Obstetrics and Gynecology (838 citations), Cancer Research (1.0k citations), Molecular Biology (1.9k citations) and Immunology (493 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, K. Miyazaki, Bahar D. Yilmaz and Changshun Shao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Human Pathology, The Journal of Pathology, Fertility and Sterility and Clinical Cancer Research.

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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