Keng Shen

3.9k citations
152 papers · 2.8k · h-index 28

Impact in

Papers in

    • Ovarian cancer diagnosis and treatment 35
    • Endometriosis Research and Treatment 8
    • Testicular diseases and treatments 11

Keng Shen

148 papers receiving 2.8k citations

Peers

Keng Shen
Comparison fields: 5 of 112
  • Reproductive Medicine 939
  • Obstetrics and Gynecology 372
  • Cancer Research 548
  • Oncology 422
  • Molecular Biology 940
Replace Beihua Kong with:
Beihua Kong China
Dan‐Arin Silasi United States
Alexander Burges Germany
Ivo Meinhold‐Heerlein Germany
Manuel Peñalver United States
Stefania Cosio Italy
Margaret M. Steinhoff United States
Toru Sugiyama Japan
Franco Odicino Italy
Thomas Leavitt United States
Keng Shen relative to Beihua Kong China Beihua Kong's profile →
Citations per field
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Beihua Kong · 1×
Citations per year

Countries citing papers authored by Keng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Keng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keng Shen. 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 Keng Shen. The network helps show where Keng Shen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010291
2 2013258
3 2011107
4 201291
5 201582
6 201580
7 201472
8 201871
9 201267
10 201262
11 201853
12 201345
13 201345
14 201438
15 201338
16 201637
17 201437
18 201337
19 201733
20 201931

About Keng Shen

Keng Shen is a scholar working on Reproductive Medicine, Surgery, Molecular Biology, Cancer Research and Oncology, having authored 152 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (35 papers), Testicular diseases and treatments (11 papers), Endometriosis Research and Treatment (8 papers), Cancer-related molecular mechanisms research (8 papers), Cervical Cancer and HPV Research (6 papers), Endometrial and Cervical Cancer Treatments (5 papers), Uterine Myomas and Treatments (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Reproductive Medicine (939 citations), Obstetrics and Gynecology (372 citations), Cancer Research (548 citations), Oncology (422 citations) and Molecular Biology (940 citations). Keng Shen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiaxin Yang, Dongyan Cao, Jiaxin Yang, Dongyan Cao, Ming Wu, Ting Gui, Mei Yu, Yan You, Huimin Bai and Bing Liang. Their work appears in journals such as Oncotarget, Journal of Ovarian Research, Gynecologic Oncology, OncoTargets and Therapy and Medicine.

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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