Can‐Jun Ruan

1.8k citations
50 papers · 1.0k · h-index 20

Impact in

Papers in

Can‐Jun Ruan

49 papers receiving 1.0k citations

Peers

Can‐Jun Ruan
Comparison fields: 5 of 97
  • Biological Psychiatry 125
  • Psychiatry and Mental health 639
  • Toxicology 66
  • Geriatrics and Gerontology 41
  • Pharmacology 87
Replace Adriaan Cleton with:
Adriaan Cleton United States
Paulien Ravenstijn United States
Nada Božina Croatia
Pablo Zubiaur Spain
Chiara Di Pace Italy
Willem K. Amery Belgium
Luigi Francesco Iannone Italy
Carol R. Reed United States
Angela Seeringer Germany
Sankha Shubhra Chakrabarti India
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Citations per field
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Citations per year

Countries citing papers authored by Can‐Jun Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Can‐Jun Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Can‐Jun Ruan. 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 Can‐Jun Ruan. The network helps show where Can‐Jun Ruan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 202075
3 201966
4 200961
5 201956
6 201954
7 202039
8 201937
9 202135
10 202035
11 202132
12 201631
13 202031
14 200930
15 202123
16 201021
17 202220
18 202020
19 201219
20 201719

About Can‐Jun Ruan

Can‐Jun Ruan is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Pharmacology, Molecular Biology and Pharmacology, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (27 papers), Bipolar Disorder and Treatment (12 papers), Pharmacogenetics and Drug Metabolism (9 papers), Pharmacological Effects and Toxicity Studies (6 papers), Tryptophan and brain disorders (5 papers), Pharmaceutical studies and practices (5 papers), Epilepsy research and treatment (5 papers) and Platelet Disorders and Treatments (5 papers). The work is most often cited by research in Biological Psychiatry (125 citations), Psychiatry and Mental health (639 citations), Toxicology (66 citations), Geriatrics and Gerontology (41 citations) and Pharmacology (87 citations). Can‐Jun Ruan has collaborated with scholars based in China, United States and Spain. Frequent co-authors include José de León, Georgios Schoretsanitis, Chuanyue Wang, Carlos De las Cuevas, John M. Kane, Edoardo Spina, Hélène Verdoux, Emílio J. Sanz, Yi‐lang Tang and Di‐Hua Chen. Their work appears in journals such as Expert Opinion on Drug Metabolism & Toxicology, Schizophrenia Research, Expert Review of Clinical Pharmacology, General Psychiatry and European Journal of Clinical Pharmacology.

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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