Keng Shen

3.9k total citations
154 papers, 2.8k citations indexed

About

Keng Shen is a scholar working on Reproductive Medicine, Surgery and Obstetrics and Gynecology. According to data from OpenAlex, Keng Shen has authored 154 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Reproductive Medicine, 40 papers in Surgery and 34 papers in Obstetrics and Gynecology. Recurrent topics in Keng Shen's work include Ovarian cancer diagnosis and treatment (79 papers), Endometrial and Cervical Cancer Treatments (28 papers) and Testicular diseases and treatments (21 papers). Keng Shen is often cited by papers focused on Ovarian cancer diagnosis and treatment (79 papers), Endometrial and Cervical Cancer Treatments (28 papers) and Testicular diseases and treatments (21 papers). Keng Shen collaborates with scholars based in China, United States and United Kingdom. Keng Shen's co-authors include Jiaxin Yang, Dongyan Cao, Jiaxin Yang, Dongyan Cao, Ming Wu, Ting Gui, Mei Yu, Yan You, Huimin Bai and Bing Liang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Keng Shen

151 papers receiving 2.8k citations

Peers

Keng Shen
Comparison fields: 5 of 116
  • Reproductive Medicine 1.2k
  • Molecular Biology 1.1k
  • Cancer Research 695
  • Obstetrics and Gynecology 614
  • Surgery 550
Replace Rodney P. Rocconi with:
Rodney P. Rocconi United States
Ivo Meinhold‐Heerlein Germany
Koen Van de Vijver Belgium
Jesús González Bosquet United States
Frederick R. Ueland United States
Stefania Cosio Italy
Yasunobu Kanamori Japan
Alexander Burges Germany
H.W.A. de Bruijn Netherlands
Mack N. Barnes United States
Rodney P. Rocconi United States View profile →
Citations per field, relative to Keng Shen
Keng Shen · 1×
Citations per year, relative to Keng Shen
Keng Shen · 1×

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-authorship network of co-authors of Keng Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Keng Shen. A scholar is included among the top collaborators of Keng Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keng Shen. Keng Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 1
3 22
4 11
5 11
6 7
7 1
8 52
9 13
10 24
11 14
12 23
13 37
14 18
15
[Multicenter randomized controlled clinical study for the operative treatment of malignant ovarian germ cell tumors].
2
16 23
17 67
18 2
19
[Prevalence of human papillomavirus infection in women in Tibet Autonomous Region of China.].
12
20
Clinical analysis of 4 cases of juvenile granulosa cell tumor of the ovary.
1

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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