Su‐Ren Chen

2.3k citations
50 papers · 1.6k · h-index 23

Impact in

Papers in

Su‐Ren Chen

49 papers receiving 1.5k citations

Peers

Su‐Ren Chen
Comparison fields: 5 of 94
  • Reproductive Medicine 737
  • Public Health, Environmental and Occupational Health 582
  • Cancer Research 229
  • Genetics 415
  • Endocrine and Autonomic Systems 97
Replace JoAnne S. Richards with:
JoAnne S. Richards United States
Francesca Gioia Klinger Italy
Makoto Orisaka Japan
Sha Peng China
Misung Jo United States
Meijia Zhang China
Zhao‐Yuan Hu China
Nathan C. Law United States
Céline J. Guigon France
Guidong Yao China
Su‐Ren Chen relative to JoAnne S. Richards United States JoAnne S. Richards's profile →
Citations per field
00.5×3.2×
JoAnne S. Richards · 1×
Citations per year

Countries citing papers authored by Su‐Ren Chen

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Ren Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Su‐Ren 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 Su‐Ren Chen Line = papers co-authored together Su‐Ren 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 2014225
2 2020159
3 2019107
4 2020102
5 201563
6 201859
7 201756
8 201354
9 201652
10 201651
11 201644
12 201840
13 201737
14 201333
15 201331
16 201728
17 201728
18 201628
19 202227
20 202227

About Su‐Ren Chen

Su‐Ren Chen is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Genetics and Surgery, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sperm and Testicular Function (29 papers), Reproductive Biology and Fertility (24 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (14 papers), Renal and related cancers (11 papers), Microtubule and mitosis dynamics (6 papers), Prenatal Screening and Diagnostics (5 papers), Testicular diseases and treatments (5 papers) and Sexual Differentiation and Disorders (4 papers). The work is most often cited by research in Reproductive Medicine (737 citations), Public Health, Environmental and Occupational Health (582 citations), Cancer Research (229 citations), Genetics (415 citations) and Endocrine and Autonomic Systems (97 citations). Su‐Ren Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yixun Liu, Yihong Yang, Aalia Batool, Shoulong Deng, Xiaozhen Zhang, Xiuxia Wang, Hao Liu, Yuqian Wang, Ji‐Xin Tang and Jinmei Cheng. Their work appears in journals such as eLife, Cell Death and Disease, Reproduction, Biology of Reproduction and Oncotarget.

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.

Explore authors with similar magnitude of impact