Tai‐Long Pan
Impact in
- Dermatology top 1%
- Skin Protection and Aging
- Dermatology and Skin Diseases
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Attention Deficit Hyperactivity Disorder 10
- Co-authors
- Pei‐Wen Wang (36 shared papers)Mu‐Hong Chen (41 shared papers)Jia‐You Fang (18 shared papers)Tzeng‐Ji Chen (36 shared papers)Ya‐Mei Bai (33 shared papers)Tung‐Ping Su (30 shared papers)Cheng‐Ta Li (28 shared papers)Ju-Wei Hsu (23 shared papers)
- Journals
- PROTEOMICS (8 papers)Journal of Affective Disorders (5 papers)The Journal of Clinical Psychiatry (5 papers)Clinica Chimica Acta (4 papers)International Journal of Molecular Sciences (4 papers)
- Partner nations
- TaiwanUnited StatesSaudi Arabia
In The Last Decade
Tai‐Long Pan
117 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 138
- Dermatology 331
- Complementary and alternative medicine 295
- Psychiatry and Mental health 478
- Hepatology 165
- Biological Psychiatry 52
Countries citing papers authored by Tai‐Long Pan
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
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.
All Works
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 139 | |
| 2 | 2016 | 135 | |
| 3 | 2015 | 101 | |
| 4 | 2017 | 94 | |
| 5 | 2017 | 91 | |
| 6 | 2014 | 86 | |
| 7 | 2015 | 83 | |
| 8 | 2019 | 75 | |
| 9 | 2008 | 74 | |
| 10 | 2018 | 73 | |
| 11 | 2004 | 72 | |
| 12 | 2011 | 72 | |
| 13 | 2010 | 70 | |
| 14 | 2014 | 59 | |
| 15 | 2002 | 57 | |
| 16 | 2008 | 57 | |
| 17 | 2019 | 56 | |
| 18 | 2014 | 56 | |
| 19 | 2010 | 52 | |
| 20 | 2015 | 50 |
About Tai‐Long Pan
Tai‐Long Pan is a scholar working on Molecular Biology, Psychiatry and Mental health, Surgery, Epidemiology and Hepatology, having authored 118 papers that have together received 3.4k indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (10 papers), Liver physiology and pathology (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Hepatitis B Virus Studies (5 papers), Flavonoids in Medical Research (5 papers), Skin Protection and Aging (5 papers) and Traditional Chinese Medicine Analysis (5 papers). The work is most often cited by research in Dermatology (331 citations), Complementary and alternative medicine (295 citations), Psychiatry and Mental health (478 citations), Hepatology (165 citations) and Biological Psychiatry (52 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, Jia‐You Fang, Tzeng‐Ji Chen, Ya‐Mei Bai, Tung‐Ping Su, Cheng‐Ta Li, Ju-Wei Hsu, Kai-Lin Huang and Wen‐Han Chang. Their work appears in journals such as PROTEOMICS, Journal of Affective Disorders, The Journal of Clinical Psychiatry, Clinica Chimica Acta and International Journal of Molecular Sciences.
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.