Can‐Jun Ruan

1.8k citations
51 papers · 1.1k · h-index 20

Impact in

Papers in

Can‐Jun Ruan

50 papers receiving 1.1k citations

Peers

Can‐Jun Ruan
Comparison fields: 5 of 88
  • Psychiatry and Mental health 510
  • Biological Psychiatry 82
  • Toxicology 45
  • Hematology 107
  • Pharmacology 63
Replace Luigi Francesco Iannone with:
Luigi Francesco Iannone Italy
Adriaan Cleton United States
Ramesh Boinpally United States
Kenshi Takechi Japan
Antonia Periclou United States
Esa Heinonen Finland
Niranjan Rao United States
Sandeep Grover India
M.J. Brodie United Kingdom
Paulien Ravenstijn United States
Can‐Jun Ruan relative to Luigi Francesco Iannone Italy Luigi Francesco Iannone's profile →
Citations per field
00.5×5.9×
Luigi Francesco Iannone · 1×
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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020113
2 202077
3 201969
4 200961
5 201960
6 201955
7 202041
8 201938
9 202136
10 202036
11 202135
12 202033
13 201632
14 200930
15 202123
16 202021
17 201021
18 202220
19 201719
20 201819

About Can‐Jun Ruan

Can‐Jun Ruan is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Hematology, Molecular Biology and Biological Psychiatry, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (22 papers), Bipolar Disorder and Treatment (8 papers), Tryptophan and brain disorders (5 papers), Pharmacological Effects and Toxicity Studies (5 papers), Platelet Disorders and Treatments (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Blood disorders and treatments (3 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Psychiatry and Mental health (510 citations), Biological Psychiatry (82 citations), Toxicology (45 citations), Hematology (107 citations) and Pharmacology (63 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 Christoph Hiemke. Their work appears in journals such as Expert Review of Clinical Pharmacology, Expert Opinion on Drug Metabolism & Toxicology, Schizophrenia Research, Journal of Clinical Psychopharmacology and General Psychiatry.

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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