Kaida Jiang

2.0k citations
72 papers · 1.4k · h-index 21

Impact in

Papers in

Kaida Jiang

70 papers receiving 1.4k citations

Peers

Kaida Jiang
Comparison fields: 5 of 100
  • Biological Psychiatry 199
  • Psychiatry and Mental health 490
  • Behavioral Neuroscience 100
  • Cognitive Neuroscience 491
  • Experimental and Cognitive Psychology 261
Replace Hisanobu Kaiya with:
Hisanobu Kaiya Japan
H.‐J. Möller Germany
Harald Scherk Germany
Nobuhisa Kanahara Japan
Thomas J. Raedler Germany
Deidre J. Smith Australia
Jun‐ichi Iga Japan
Martina Ballmaier United States
Camilo de la Fuente‐Sandoval Mexico
David Printz United States
Kaida Jiang relative to Hisanobu Kaiya Japan Hisanobu Kaiya's profile →
Citations per field
00.5×3.2×
Hisanobu Kaiya · 1×
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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014107
2 201679
3 201575
4 201569
5 201465
6 200655
7 201453
8 201453
9 201750
10 201147
11 200644
12 201043
13 202141
14 201537
15 201434
16 201132
17 201331
18 201126
19 201226
20 201523

About Kaida Jiang

Kaida Jiang is a scholar working on Psychiatry and Mental health, Clinical Psychology, Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (18 papers), Functional Brain Connectivity Studies (12 papers), Obsessive-Compulsive Spectrum Disorders (10 papers), Tryptophan and brain disorders (9 papers), Mental Health and Psychiatry (8 papers), Bipolar Disorder and Treatment (8 papers), Treatment of Major Depression (8 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). The work is most often cited by research in Biological Psychiatry (199 citations), Psychiatry and Mental health (490 citations), Behavioral Neuroscience (100 citations), Cognitive Neuroscience (491 citations) and Experimental and Cognitive Psychology (261 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, He Shen, Ting Shen, Chunbo Li and Yingying Tang. Their work appears in journals such as Psychiatry Research, Schizophrenia Research, Australian & New Zealand Journal of Psychiatry, Frontiers in Psychiatry and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

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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