Jian‐Jun Wei

9.8k citations
189 papers · 7.7k · 3 hit papers · h-index 48

Impact in

Papers in

Jian‐Jun Wei

182 papers receiving 7.6k citations

Jian‐Jun Wei's Hit Papers

Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining 2024 · 56 citations
560+2+4Years since publication200400600

Peers

Jian‐Jun Wei
Comparison fields: 5 of 167
  • Reproductive Medicine 2.1k
  • Obstetrics and Gynecology 1.8k
  • Cancer Research 1.7k
  • Molecular Biology 3.0k
  • Immunology 757
Replace Rui Jing with:
Rui Jing China
Honglin Song United States
Anneleen Daemen Belgium
Galina Lurie United States
Henrik L. Bengtsson United States
Mitul Shah United Kingdom
Anna Marie Mulligan United Kingdom
Qin Wang United Kingdom
Liang Hu China
Tomasz Huzarski Poland
Jian‐Jun Wei relative to Rui Jing China Rui Jing's profile →
Citations per field
00.5×2×3×4.0×
Rui Jing · 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 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Endometriosis
Hit paper breakdown →
2019620
2 2009484
3 2012273
4 2007217
5 2020200
6 2020194
7 2011147
8 2014144
9 2011142
10
Adenomyosis pathogenesis: insights from next-generation sequencing
Hit paper breakdown →
2021138
11 2012138
12 2007138
13 2011130
14 2008128
15 2012111
16 2014107
17 202392
18 201791
19 201488
20 202084

About Jian‐Jun Wei

Jian‐Jun Wei is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 189 papers that have together received 7.7k indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (50 papers), Ovarian cancer diagnosis and treatment (30 papers), Endometrial and Cervical Cancer Treatments (24 papers), Endometriosis Research and Treatment (24 papers), Cancer-related molecular mechanisms research (21 papers), MicroRNA in disease regulation (15 papers), Prostate Cancer Treatment and Research (9 papers) and Epigenetics and DNA Methylation (8 papers). The work is most often cited by research in Reproductive Medicine (2.1k citations), Obstetrics and Gynecology (1.8k citations), Cancer Research (1.7k citations), Molecular Biology (3.0k citations) and Immunology (757 citations). Jian‐Jun Wei has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Serdar Ekrem Bulun, Peng Lee, Zhaojian Liu, Khush Mittal, Changshun Shao, Ping Yin, Julie Kim, Eva Hernando, Jinsong Liu and Jonathan Melamed. Their work appears in journals such as Fertility and Sterility, Modern Pathology, Oncotarget, Endocrinology and PLoS ONE.

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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