Hsun‐Ming Chang

5.1k citations
131 papers · 3.5k indexed · h-index 34

Impact in

Papers in

Hsun‐Ming Chang

123 papers receiving 3.4k citations

Peers

Hsun‐Ming Chang
Comparison fields: 5 of 118
  • Reproductive Medicine 1.3k
  • Obstetrics and Gynecology 430
  • Public Health, Environmental and Occupational Health 1.2k
  • Immunology 700
  • Molecular Biology 1.6k
Replace Yingying Qin with:
Yingying Qin China
Toshifumi Takahashi Japan
Takashi Minegishi Japan
Kevin Y. Lee United States
Hisahiko Hiroi Japan
Selma M. Soyal Austria
Maggie M.‐Y. United States
Hideo Honjo Japan
Yuping Xu China
Shidou Zhao China
Hsun‐Ming Chang relative to Yingying Qin China Yingying Qin's profile →
Citations per field
00.5×1.5×2.0×
Yingying Qin · 1×
Citations per year

Countries citing papers authored by Hsun‐Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hsun‐Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsun‐Ming Chang. 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 Hsun‐Ming Chang. The network helps show where Hsun‐Ming Chang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20257
4 20240
5 20240
6 202312
7 202327
8 202246
9 202218
10 20224
11 202018
12 201913
13 2019134
14 201916
15 201912
16 201715
17 201637
18 201554
19 201439
20 201373

About Hsun‐Ming Chang

Hsun‐Ming Chang is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health, Immunology and Molecular Biology, having authored 131 papers that have together received 3.5k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (42 papers), TGF-β signaling in diseases (39 papers), Ovarian function and disorders (26 papers), Endometriosis Research and Treatment (23 papers), Reproductive System and Pregnancy (18 papers), Kruppel-like factors research (17 papers), Connective Tissue Growth Factor Research (15 papers) and Pregnancy and preeclampsia studies (14 papers). The work is most often cited by research in Reproductive Medicine (1.3k citations), Obstetrics and Gynecology (430 citations), Public Health, Environmental and Occupational Health (1.2k citations), Immunology (700 citations) and Molecular Biology (1.6k citations). Hsun‐Ming Chang has collaborated with scholars based in Canada, China and Taiwan. Frequent co-authors include Peter C. K. Leung, Jung‐Chien Cheng, Christian Klausen, Jie Qiao, Lanlan Fang, Yingpu Sun, Elizabeth Taylor, Xin Qiu, Yang Yu and Kai-Lun Hu. Their work appears in journals such as Molecular and Cellular Endocrinology, Cellular Signalling, Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Frontiers in Cell and Developmental Biology.

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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