Mo Chen

1.5k citations
50 papers · 932 indexed · h-index 17

Impact in

Papers in

Mo Chen

45 papers receiving 928 citations

Peers

Mo Chen
Comparison fields: 5 of 97
  • Cancer Research 209
  • Drug Discovery 2
  • Cell Biology 107
  • Reproductive Medicine 53
  • Organic Chemistry 177
Replace Gunhild von Amsberg with:
Gunhild von Amsberg Germany
Agnieszka Marczak Poland
Sundaramoorthy Revathidevi India
Qiang Tan China
Ravi Thakur India
Haolong Li China
J. Liebmann United States
Hyunho Yoon South Korea
Xupeng Bai China
Mo Chen relative to Gunhild von Amsberg Germany Gunhild von Amsberg's profile →
Citations per field
00.5×2.8×
Gunhild von Amsberg · 1×
Citations per year

Countries citing papers authored by Mo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013118
2 201696
3 202188
4 201676
5 201358
6 201753
7 201949
8 201045
9 201842
10 201128
11 202025
12
CDK9 inhibitor CDKI-73 is synergetic lethal with PARP inhibitor olaparib in BRCA1 wide-type ovarian cancer.
202025
13 202122
14 201821
15 201620
16 202219
17 201218
18 202114
19 202212
20 20189

About Mo Chen

Mo Chen is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Otorhinolaryngology, Cancer Research and Surgery, having authored 50 papers that have together received 932 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), Uterine Myomas and Treatments (7 papers), Endometrial and Cervical Cancer Treatments (5 papers), Cancer-related molecular mechanisms research (4 papers), Endometriosis Research and Treatment (4 papers), Reconstructive Surgery and Microvascular Techniques (4 papers), Shoulder Injury and Treatment (3 papers) and Catalytic C–H Functionalization Methods (3 papers). The work is most often cited by research in Cancer Research (209 citations), Drug Discovery (2 citations), Cell Biology (107 citations), Reproductive Medicine (53 citations) and Organic Chemistry (177 citations). Mo Chen has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include T.M. Penning, Liangqing Yao, Adegoke O. Adeniji, Jie Wu, Liangqing Yao, Danqing Zheng, Congjian Xu, Yifeng He, Qing Li and Wen Di. Their work appears in journals such as Orthopaedic Journal of Sports Medicine, International Journal of Gynecological Cancer, Organic Chemistry Frontiers, Journal of Translational Medicine 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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