Kaida Jiang

2.0k total citations
72 papers, 1.4k citations indexed

About

Kaida Jiang is a scholar working on Psychiatry and Mental health, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Kaida Jiang has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Psychiatry and Mental health, 16 papers in Clinical Psychology and 15 papers in Cognitive Neuroscience. Recurrent topics in Kaida Jiang's work include Schizophrenia research and treatment (18 papers), Functional Brain Connectivity Studies (12 papers) and Obsessive-Compulsive Spectrum Disorders (10 papers). Kaida Jiang is often cited by papers focused on Schizophrenia research and treatment (18 papers), Functional Brain Connectivity Studies (12 papers) and Obsessive-Compulsive Spectrum Disorders (10 papers). Kaida Jiang collaborates with scholars based in China, United States and Singapore. Kaida Jiang's co-authors include Daihui Peng, Yiru Fang, Xiaohua Liu, Zeping Xiao, Tianhong Zhang, Yifeng Xu, He Shen, Chunbo Li, Ting Shen and Yingying Tang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Kaida Jiang

70 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaida Jiang China 21 491 490 261 240 209 72 1.4k
Mette Ødegaard Nielsen Denmark 19 521 1.1× 693 1.4× 216 0.8× 127 0.5× 171 0.8× 57 1.4k
Kyung Sue Hong South Korea 24 373 0.8× 920 1.9× 211 0.8× 382 1.6× 157 0.8× 81 1.6k
Hisanobu Kaiya Japan 25 468 1.0× 410 0.8× 358 1.4× 340 1.4× 393 1.9× 120 1.9k
Neeraj Tandon United States 26 641 1.3× 867 1.8× 200 0.8× 244 1.0× 149 0.7× 44 1.6k
Suzanne Reeves United Kingdom 26 588 1.2× 708 1.4× 111 0.4× 185 0.8× 319 1.5× 81 1.9k
H.‐J. Möller Germany 27 671 1.4× 1.0k 2.1× 171 0.7× 281 1.2× 228 1.1× 55 2.6k
Daimei Sasayama Japan 26 402 0.8× 563 1.1× 185 0.7× 308 1.3× 161 0.8× 119 2.1k
Camilo de la Fuente‐Sandoval Mexico 21 622 1.3× 571 1.2× 125 0.5× 220 0.9× 446 2.1× 54 1.5k
Euitae Kim South Korea 20 807 1.6× 1.0k 2.1× 319 1.2× 385 1.6× 454 2.2× 71 2.0k
Clifford Cassidy Canada 21 381 0.8× 567 1.2× 146 0.6× 236 1.0× 333 1.6× 50 1.4k

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-authorship network of co-authors of Kaida Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaida Jiang. A scholar is included among the top collaborators of Kaida Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaida Jiang. Kaida Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shen, He, Tianhong Zhang, Zhiguang Lin, et al.. (2019). Detection Study of Bipolar Depression Through the Application of a Model-Based Algorithm in Terms of Clinical Feature and Peripheral Biomarkers. Frontiers in Psychiatry. 10. 266–266. 7 indexed citations
2.
Jiang, Kaida, Lingjiang Li, Xueyi Wang, et al.. (2017). Efficacy and tolerability of escitalopram in treatment of major depressive disorder with anxiety symptoms: a 24-week, open-label, prospective study in Chinese population. Neuropsychiatric Disease and Treatment. Volume 13. 515–526. 14 indexed citations
3.
Zhang, Tianhong, Xiaoli Guo, Yingying Tang, et al.. (2017). Time consumption in mind-reading: A potentially important factor for social cognition assessment in early psychosis. Schizophrenia Research. 192. 491–492. 3 indexed citations
4.
Zhang, Tianhong, YanYan Wei, Lihua Xu, et al.. (2017). A compromise solution between overlapping and overlooking DSM personality disorders in Chinese psychiatric practice. Social Psychiatry and Psychiatric Epidemiology. 53(1). 99–106. 7 indexed citations
5.
Shen, He, Xiaohua Liu, Kaida Jiang, et al.. (2016). Alterations of microRNA-124 expression in peripheral blood mononuclear cells in pre- and post-treatment patients with major depressive disorder. Journal of Psychiatric Research. 78. 65–71. 79 indexed citations
6.
Peng, Daihui & Kaida Jiang. (2015). Comorbid bipolar disorder and obsessive-compulsive disorder.. Europe PMC (PubMed Central). 27(4). 246–8. 6 indexed citations
7.
Peng, Daihui, Feng Shi, Gang Li, et al.. (2015). Surface Vulnerability of Cerebral Cortex to Major Depressive Disorder. PLoS ONE. 10(3). e0120704–e0120704. 75 indexed citations
8.
Zhang, Tianhong, Zhenghui Yi, Hui‐Jun Li, et al.. (2015). Faux pas recognition performance in a help-seeking population at clinical high risk of psychosis. European Archives of Psychiatry and Clinical Neuroscience. 266(1). 71–78. 19 indexed citations
9.
Peng, Daihui, Elizabeth B. Liddle, Sarina J. Iwabuchi, et al.. (2015). Dissociated large-scale functional connectivity networks of the precuneus in medication-naïve first-episode depression. Psychiatry Research Neuroimaging. 232(3). 250–256. 69 indexed citations
10.
Iwabuchi, Sarina J., Daihui Peng, Yiru Fang, et al.. (2014). Alterations in effective connectivity anchored on the insula in major depressive disorder. European Neuropsychopharmacology. 24(11). 1784–1792. 53 indexed citations
11.
Peng, Daihui, Feng Shi, Ting Shen, et al.. (2014). Altered brain network modules induce helplessness in major depressive disorder. Journal of Affective Disorders. 168. 21–29. 65 indexed citations
12.
Shen, Ting, Meihui Qiu, Chao Li, et al.. (2014). Altered spontaneous neural activity in first-episode, unmedicated patients with major depressive disorder. Neuroreport. 25(16). 1302–1307. 20 indexed citations
13.
Shen, Xiaoling, et al.. (2013). Predictors of response to second generation antipsychotics in drug naïve patients with schizophrenia: A 1 year follow-up study in Shanghai. Psychiatry Research. 215(1). 20–25. 13 indexed citations
14.
Cui, Donghong, Zhen Wang, Qing Fan, et al.. (2011). Cross-sectional comparison of the clinical characteristics of adults with early-onset and late-onset obsessive compulsive disorder. Journal of Affective Disorders. 136(3). 498–504. 32 indexed citations
15.
Qi, Dake, et al.. (2011). MK-801 induces schizophrenic behaviors through downregulating Wnt signaling pathways in male mice. Brain Research. 1385. 281–292. 26 indexed citations
16.
Li, Dawei, et al.. (2011). Identification of theN-acylsphingosine amidohydrolase 1 gene(ASAH1)for susceptibility to schizophrenia in a Han Chinese population. The World Journal of Biological Psychiatry. 13(2). 106–113. 8 indexed citations
17.
18.
Fang, Yiru, Chengmei Yuan, Yifeng Xu, et al.. (2010). Comparisons of the Efficacy and Tolerability of Extended-Release Venlafaxine, Mirtazapine, and Paroxetine in Treatment-Resistant Depression. Journal of Clinical Psychopharmacology. 30(4). 357–364. 43 indexed citations
19.
20.
Shao, Chunhong, Yifeng Li, Kaida Jiang, et al.. (2006). Dopamine D4 receptor polymorphism modulates cue-elicited heroin craving in Chinese. Psychopharmacology. 186(2). 185–190. 55 indexed citations

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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