Pei‐Ju Chen

23 papers receiving 382 citations

Peers

Pei‐Ju Chen
Comparison fields: 5 of 77
  • Biological Psychiatry 30
  • Cellular and Molecular Neuroscience 153
  • Ecology, Evolution, Behavior and Systematics 117
  • Pharmacology 98
  • Ecological Modeling 13
Replace Ulrike Pech with:
Ulrike Pech Germany
Jennifer Ro United States
Gabriela T. Fioreze Brazil
Ai‐Qun Hu China
Jorge M. Campusano Chile
Fangfang Liu China
Grit Laue Switzerland
Lisa Scheunemann Germany
Maja Zorović Slovenia
B. Duff Sloley Canada
Pei‐Ju Chen relative to Ulrike Pech Germany Ulrike Pech's profile →
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Citations per year

Countries citing papers authored by Pei‐Ju Chen

Since Specialization
Citations

This map shows the geographic impact of Pei‐Ju 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‐Ju 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‐Ju Chen more than expected).

Fields of papers citing papers by Pei‐Ju Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201165
2 201655
3 200842
4 201430
5 201328
6 202228
7 201923
8 202116
9 201816
10 201414
11 202213
12 201912
13 20219
14 20189
15 20149
16 20225
17 20135
18 20222
19
Clinical observation on the treatment of depressive symptoms and rheumatoid arthritis with Chaihu Shugan Powder
20151
20 20221

About Pei‐Ju Chen

Pei‐Ju Chen is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Pharmacology, Molecular Biology and Genetics, having authored 23 papers that have together received 386 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (11 papers), Plant and animal studies (4 papers), Biological and pharmacological studies of plants (3 papers), Cell Image Analysis Techniques (2 papers), Lepidoptera: Biology and Taxonomy (2 papers), Insect Pheromone Research and Control (2 papers), Animal Behavior and Reproduction (2 papers) and Advanced Thermoelectric Materials and Devices (2 papers). The work is most often cited by research in Biological Psychiatry (30 citations), Cellular and Molecular Neuroscience (153 citations), Ecology, Evolution, Behavior and Systematics (117 citations), Pharmacology (98 citations) and Ecological Modeling (13 citations). Pei‐Ju Chen has collaborated with scholars based in Taiwan, Japan and Slovenia. Frequent co-authors include Lee‐Yan Sheen, Kentaro Arikawa, En‐Cheng Yang, Atsuko Matsushita, Gregor Belušič, I‐Hsin Lin, Yu‐Chi Hou, Hsiu‐Mei Chiang, Ching‐Liang Hsieh and Chien‐Neng Liao. Their work appears in journals such as Cold Spring Harbor Protocols, Current Biology, Nanoscale, Applied Physics Letters and Journal of Food Protection.

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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