Hsiu‐Mei Chen

26 papers receiving 558 citations

Peers

Hsiu‐Mei Chen
Comparison fields: 5 of 81
  • Reproductive Medicine 171
  • Obstetrics and Gynecology 70
  • Biotechnology 65
  • Equine 7
  • Immunology 88
Replace Satoshi Kamimura with:
Satoshi Kamimura Japan
Bingteng Xie China
Klaus Faserl Austria
Miao Liu China
Jagadeesh Janjanam United States
Qingling Song China
Yonglian Zhang China
Paula A. Schueler United States
Isabelle Laurent France
Yong‐An Lee South Korea
Hsiu‐Mei Chen relative to Satoshi Kamimura Japan Satoshi Kamimura's profile →
Citations per field
00.5×7.2×
Satoshi Kamimura · 1×
Citations per year

Countries citing papers authored by Hsiu‐Mei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsiu‐Mei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001123
2 2002100
3 200358
4 200046
5 199634
6 199427
7 201325
8 199523
9 201618
10 200814
11 200813
12 201412
13 201411
14 199911
15 200710
16 20099
17 20009
18 20119
19 20236
20 20035

About Hsiu‐Mei Chen

Hsiu‐Mei Chen is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Oncology and Reproductive Medicine, having authored 26 papers that have together received 577 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (5 papers), Endometriosis Research and Treatment (4 papers), Advanced Biosensing Techniques and Applications (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Uterine Myomas and Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers), Enzyme Production and Characterization (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Reproductive Medicine (171 citations), Obstetrics and Gynecology (70 citations), Biotechnology (65 citations), Equine (7 citations) and Immunology (88 citations). Hsiu‐Mei Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Meng‐Hsing Wu, Shaw‐Jenq Tsai, Pei-Chin Chuang, Chen‐Chung Lin, H. Sunny Sun, Clark Ford, Peter J. Reilly, Yu‐Sheng Lin, Hsin‐Chun Lu and Jeng-Wei Lin. Their work appears in journals such as Journal of the Taiwan Institute of Chemical Engineers, The Journal of Clinical Endocrinology & Metabolism, Protein Engineering Design and Selection, Biotechnology Progress and Protein Expression and Purification.

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