Zihang Pan

3.5k total citations · 2 hit papers
42 papers, 2.4k citations indexed

About

Zihang Pan is a scholar working on Biological Psychiatry, Pharmacology and Experimental and Cognitive Psychology. According to data from OpenAlex, Zihang Pan has authored 42 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biological Psychiatry, 12 papers in Pharmacology and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Zihang Pan's work include Tryptophan and brain disorders (17 papers), Treatment of Major Depression (11 papers) and Stress Responses and Cortisol (8 papers). Zihang Pan is often cited by papers focused on Tryptophan and brain disorders (17 papers), Treatment of Major Depression (11 papers) and Stress Responses and Cortisol (8 papers). Zihang Pan collaborates with scholars based in Canada, Brazil and China. Zihang Pan's co-authors include Roger S. McIntyre, Elisa Brietzke, Yena Lee, Joshua D. Rosenblat, Caroline Park, Hannah Zuckerman, Bing Cao, Rodrigo B. Mansur, Carola Rong and Mehala Subramaniapillai and has published in prestigious journals such as Journal of Clinical Oncology, Neuroscience & Biobehavioral Reviews and Journal of Affective Disorders.

In The Last Decade

Zihang Pan

40 papers receiving 2.4k citations

Hit Papers

Stress, epigenetics and depression: A systematic review 2019 2026 2021 2023 2019 2019 100 200 300

Peers

Zihang Pan
Zezhi Li China
Zihang Pan
Citations per year, relative to Zihang Pan Zihang Pan (= 1×) peers Zezhi Li

Countries citing papers authored by Zihang Pan

Since Specialization
Citations

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

Fields of papers citing papers by Zihang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihang Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Zihang Pan. A scholar is included among the top collaborators of Zihang Pan 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 Zihang Pan. Zihang Pan 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
2.
Cao, Bing, Yan Chen, Zhongyu Ren, et al.. (2021). Dysregulation of kynurenine pathway and potential dynamic changes of kynurenine in schizophrenia: A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews. 123. 203–214. 49 indexed citations
3.
Lee, Yena, Rodrigo B. Mansur, Elisa Brietzke, et al.. (2020). Efficacy of adjunctive infliximab vs. placebo in the treatment of anhedonia in bipolar I/II depression. Brain Behavior and Immunity. 88. 631–639. 53 indexed citations
4.
Mansur, Rodrigo B., Mehala Subramaniapillai, Yena Lee, et al.. (2020). Effects of infliximab on brain neurochemistry of adults with bipolar depression. Journal of Affective Disorders. 281. 61–66. 8 indexed citations
5.
Mansur, Rodrigo B., Mehala Subramaniapillai, Yena Lee, et al.. (2020). Leptin mediates improvements in cognitive function following treatment with infliximab in adults with bipolar depression. Psychoneuroendocrinology. 120. 104779–104779. 16 indexed citations
6.
Park, Caroline, Joshua D. Rosenblat, Yena Lee, et al.. (2019). The neural systems of emotion regulation and abnormalities in major depressive disorder. Behavioural Brain Research. 367. 181–188. 89 indexed citations
7.
Kim, Seung-Gon, et al.. (2019). The relationship between smartphone addiction and symptoms of depression, anxiety, and attention-deficit/hyperactivity in South Korean adolescents. Annals of General Psychiatry. 18(1). 1–1. 169 indexed citations breakdown →
8.
Cao, Bing, Dongfang Wang, Zihang Pan, et al.. (2019). Characterizing acyl-carnitine biosignatures for schizophrenia: a longitudinal pre- and post-treatment study. Translational Psychiatry. 9(1). 19–19. 52 indexed citations
9.
Park, Caroline, Joshua D. Rosenblat, Elisa Brietzke, et al.. (2019). Stress, epigenetics and depression: A systematic review. Neuroscience & Biobehavioral Reviews. 102. 139–152. 313 indexed citations breakdown →
10.
Cao, Bing, Yan Chen, Elisa Brietzke, et al.. (2018). Leptin and adiponectin levels in major depressive disorder: A systematic review and meta-analysis. Journal of Affective Disorders. 238. 101–110. 72 indexed citations
11.
Park, Sung Keun, Ju Young Jung, Jae‐Hong Ryoo, et al.. (2018). The relationship of depression with the level of blood pressure in population-based Kangbuk Samsung Health Study. Journal of the American Society of Hypertension. 12(5). 356–363. 5 indexed citations
12.
Lee, Yena, Renee‐Marie Ragguett, Rodrigo B. Mansur, et al.. (2018). Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review. Journal of Affective Disorders. 241. 519–532. 208 indexed citations
13.
Park, Caroline, Zihang Pan, Elisa Brietzke, et al.. (2018). Predicting antidepressant response using early changes in cognition: A systematic review. Behavioural Brain Research. 353. 154–160. 24 indexed citations
14.
Cao, Bing, Joshua D. Rosenblat, Elisa Brietzke, et al.. (2018). Comparative efficacy and acceptability of antidiabetic agents for Alzheimer's disease and mild cognitive impairment: A systematic review and network meta‐analysis. Diabetes Obesity and Metabolism. 20(10). 2467–2471. 80 indexed citations
15.
Huang, Ninghua, Bing Cao, Elisa Brietzke, et al.. (2018). A pilot case-control study on the association between N-acetyl derivatives in serum and first-episode schizophrenia. Psychiatry Research. 272. 36–41. 10 indexed citations
16.
Shariq, Aisha S., et al.. (2018). Targeting cytokines in reduction of depressive symptoms: A comprehensive review. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 83. 86–91. 55 indexed citations
17.
McIntyre, Roger S., Yena Lee, Nicole E. Carmona, et al.. (2018). Characterizing, Assessing, and Treating Cognitive Dysfunction in Major Depressive Disorder. Harvard Review of Psychiatry. 26(5). 241–249. 20 indexed citations
18.
Danielle, S., Nicole E. Carmona, Nelson B. Rodrigues, et al.. (2018). Cognitive impairment as measured by the THINC-integrated tool (THINC-it): The association with self-reported anxiety in Major Depressive Disorder. Journal of Affective Disorders. 238. 228–232. 12 indexed citations
19.
Rong, Carola, Nicole E. Carmona, Yena Lee, et al.. (2017). Drug-drug interactions as a result of co-administering Δ9-THC and CBD with other psychotropic agents. Expert Opinion on Drug Safety. 17(1). 51–54. 57 indexed citations
20.
Danielle, S., Nicole E. Carmona, Rodrigo B. Mansur, et al.. (2017). Pain and major depressive disorder: Associations with cognitive impairment as measured by the THINC-integrated tool (THINC-it). Scandinavian Journal of Pain. 15(1). 62–67. 12 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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