Kaida Jiang

2.0k citations
73 papers · 1.5k · h-index 22

Impact in

Papers in

Kaida Jiang

71 papers receiving 1.5k citations

Peers

Kaida Jiang
Comparison fields: 5 of 96
  • Biological Psychiatry 154
  • Psychiatry and Mental health 399
  • Behavioral Neuroscience 79
  • Cognitive Neuroscience 361
  • Experimental and Cognitive Psychology 147
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Virginia Soria Spain
Thomas Vanicek Austria
Alessandra Minelli Italy
P. Baldinger Austria
Tomihisa Niitsu Japan
José Manuel Crespo Spain
Martina Ballmaier United States
Olav B. Smeland Norway
Hisanobu Kaiya Japan
Gregor Gryglewski Austria
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Citations per field
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Citations per year

Countries citing papers authored by Kaida Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kaida Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaida Jiang. 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 Kaida Jiang. The network helps show where Kaida Jiang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014110
2 201681
3 201577
4 201570
5 201465
6 200655
7 201454
8 201454
9 201752
10 201148
11 200644
12 201044
13 202143
14 201538
15 201134
16 201834
17 201434
18 201331
19 201127
20 201226

About Kaida Jiang

Kaida Jiang is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Clinical Psychology and Molecular Biology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (14 papers), Functional Brain Connectivity Studies (11 papers), Treatment of Major Depression (8 papers), Bipolar Disorder and Treatment (7 papers), Obsessive-Compulsive Spectrum Disorders (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Mental Health and Psychiatry (5 papers) and Tryptophan and brain disorders (5 papers). The work is most often cited by research in Biological Psychiatry (154 citations), Psychiatry and Mental health (399 citations), Behavioral Neuroscience (79 citations), Cognitive Neuroscience (361 citations) and Experimental and Cognitive Psychology (147 citations). Kaida Jiang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Daihui Peng, Yiru Fang, Xiaohua Liu, Tianhong Zhang, Zeping Xiao, Yifeng Xu, Chunbo Li, He Shen, Ting Shen and Yingying Tang. Their work appears in journals such as Psychiatry Research, Schizophrenia Research, Australian & New Zealand Journal of Psychiatry, PLoS ONE and Journal of Clinical 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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