Shaw-Ji Chen

1.2k citations
43 papers · 816 · h-index 16

Impact in

Papers in

Shaw-Ji Chen

43 papers receiving 795 citations

Peers

Shaw-Ji Chen
Comparison fields: 5 of 121
  • Biological Psychiatry 132
  • Psychiatry and Mental health 174
  • Behavioral Neuroscience 24
  • Endocrine and Autonomic Systems 29
  • Physiology 109
Replace Pei-an Betty Shih with:
Pei-an Betty Shih United States
Jonathan G. Leung United States
Fariba Mirzaei Iran
Hsing‐Cheng Liu Taiwan
Kyle J. Burghardt United States
Ai Kimura Japan
Aslı Memişoğlu Türkiye
Nikolaos Dimopoulos Greece
Riikka Rontu Finland
Taku Nakagami Japan
Shaw-Ji Chen relative to Pei-an Betty Shih United States Pei-an Betty Shih's profile →
Citations per field
00.5×1.5×1.8×
Pei-an Betty Shih · 1×
Citations per year

Countries citing papers authored by Shaw-Ji Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaw-Ji Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaw-Ji 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 Shaw-Ji Chen. The network helps show where Shaw-Ji Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012136
2 202095
3 201362
4 201951
5 200841
6 201934
7 202132
8 200729
9 201827
10 202027
11 202121
12 201519
13 201419
14 201719
15 201519
16 201916
17 201615
18 202014
19 200713
20 201112

About Shaw-Ji Chen

Shaw-Ji Chen is a scholar working on Psychiatry and Mental health, Physiology, Molecular Biology, Pharmacology and Epidemiology, having authored 43 papers that have together received 816 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (9 papers), Tryptophan and brain disorders (4 papers), Dementia and Cognitive Impairment Research (4 papers), Bipolar Disorder and Treatment (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Family Support in Illness (3 papers) and Cancer-related cognitive impairment studies (3 papers). The work is most often cited by research in Biological Psychiatry (132 citations), Psychiatry and Mental health (174 citations), Behavioral Neuroscience (24 citations), Endocrine and Autonomic Systems (29 citations) and Physiology (109 citations). Shaw-Ji Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chieh‐Yu Liu, Chun-Hung Chang, Chia‐Hsiang Chen, Shao-Cheng Wang, Chieh‐Hsin Lin, Yuan‐Chuan Chen, Chia‐Ming Chang, Chuan‐Yu Chen, Kuang-Chi Chen and Hsien‐Yuan Lane. Their work appears in journals such as PLoS ONE, Scientific Reports, Medicine, Psychiatry Research and Journal of Psychopharmacology.

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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