Pei‐Chen Chen

31 papers receiving 935 citations

Peers

Pei‐Chen Chen
Comparison fields: 5 of 75
  • Molecular Medicine 255
  • Applied Microbiology and Biotechnology 52
  • Endocrinology 129
  • Clinical Biochemistry 127
  • Infectious Diseases 317
Replace Jennifer K. Bender with:
Jennifer K. Bender Germany
Danesh Moradigaravand United Kingdom
Zhiwei Lin China
Adriana Belas Portugal
Christina Aaby Svendsen Denmark
Ana P. Tedim Spain
Gyung Tae Chung South Korea
Joanna Empel Poland
Heidi Gumpert Denmark
Abazar Pournajaf Iran
Pei‐Chen Chen relative to Jennifer K. Bender Germany Jennifer K. Bender's profile →
Citations per field
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Jennifer K. Bender · 1×
Citations per year

Countries citing papers authored by Pei‐Chen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Chen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201288
2 200677
3 201464
4 201261
5 201458
6 200257
7 201657
8 200653
9 201253
10 200452
11 200451
12 201448
13 200546
14 201437
15 201334
16 201329
17 200323
18 200319
19 202310
20 20129

About Pei‐Chen Chen

Pei‐Chen Chen is a scholar working on Plant Science, Infectious Diseases, Epidemiology, Molecular Medicine and Clinical Biochemistry, having authored 34 papers that have together received 965 indexed citations. Recurring topics across this work include Nematode management and characterization studies (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotic Resistance in Bacteria (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antibiotic Use and Resistance (4 papers), Plant Pathogens and Fungal Diseases (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Molecular Medicine (255 citations), Applied Microbiology and Biotechnology (52 citations), Endocrinology (129 citations), Clinical Biochemistry (127 citations) and Infectious Diseases (317 citations). Pei‐Chen Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yih‐Ru Shiau, Jui‐Fen Lai, Tsai‐Ling Lauderdale, I‐Wen Huang, Huiying Wang, Tsai-Ling Yang Lauderdale, Monto Ho, Shan‐Chwen Chang, L. Clifford McDonald and Philip A. Roberts. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, PLoS ONE, Plant Disease, Journal of Clinical Microbiology and Nematology.

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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