Tai‐Long Pan

4.2k citations
119 papers · 3.2k · h-index 35

Impact in

Papers in

Tai‐Long Pan

118 papers receiving 3.1k citations

Peers

Tai‐Long Pan
Comparison fields: 5 of 146
  • Dermatology 360
  • Psychiatry and Mental health 586
  • Complementary and alternative medicine 317
  • Biological Psychiatry 76
  • Hepatology 184
Replace Sabry M. Attia with:
Sabry M. Attia Saudi Arabia
Sheikh F. Ahmad Saudi Arabia
Mahmoud Djalali Iran
Jun Tian China
Chikako Kiyohara Japan
Kjell Carlström Sweden
Saleh A. Bakheet Saudi Arabia
Janusz Szemraj Poland
Francesca Rossi Italy
Lucio C. Rovati Italy
Tai‐Long Pan relative to Sabry M. Attia Saudi Arabia Sabry M. Attia's profile →
Citations per field
00.5×3.6×
Sabry M. Attia · 1×
Citations per year

Countries citing papers authored by Tai‐Long Pan

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Long Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015128
2 2016128
3 201595
4 201787
5 201786
6 201484
7 201580
8 201972
9 201171
10 200470
11 201067
12 201867
13 200866
14 201458
15 200255
16 200855
17 201454
18 201954
19 200749
20 200248

About Tai‐Long Pan

Tai‐Long Pan is a scholar working on Molecular Biology, Psychiatry and Mental health, Epidemiology, Surgery and Dermatology, having authored 119 papers that have together received 3.2k indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (11 papers), Liver physiology and pathology (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Bipolar Disorder and Treatment (8 papers), Skin Protection and Aging (7 papers), Organ Transplantation Techniques and Outcomes (7 papers), Hepatitis B Virus Studies (6 papers) and Traditional Chinese Medicine Analysis (6 papers). The work is most often cited by research in Dermatology (360 citations), Psychiatry and Mental health (586 citations), Complementary and alternative medicine (317 citations), Biological Psychiatry (76 citations) and Hepatology (184 citations). Tai‐Long Pan has collaborated with scholars based in Taiwan, United States and Saudi Arabia. Frequent co-authors include Pei‐Wen Wang, Mu‐Hong Chen, Tzeng‐Ji Chen, Jia‐You Fang, Ya‐Mei Bai, Tung‐Ping Su, Cheng‐Ta Li, Shu‐Chen Wei, Ju-Wei Hsu and Kai-Lin Huang. Their work appears in journals such as PROTEOMICS, The Journal of Clinical Psychiatry, Journal of Affective Disorders, International Journal of Molecular Sciences and Clinica Chimica Acta.

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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