Tin-Chi Lin
Impact in
- Gender Studies top 10%
- Demographic Trends and Gender Preferences
- Demography top 10%
- Family Dynamics and Relationships
Papers in
-
- Bioinformatics and Genomic Networks 2
- Genetics 3
- Genetic Associations and Epidemiology 2
- Co-authors
- Santosh K. Verma (5 shared papers)Theodore K. Courtney (2 shared papers)Helen Marucci‐Wellman (3 shared papers)Joanna Willetts (3 shared papers)Melanye J. Brennan (3 shared papers)Alı́cia Adserà (1 shared paper)David A. Lombardi (1 shared paper)Robert R. McLean (5 shared papers)
- Journals
- Journal of the American Academy of Dermatology (2 papers)American Journal of Public Health (2 papers)Nature Communications (1 paper)Journal of the European Academy of Dermatology and Venereology (1 paper)Journal of Dermatological Treatment (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Tin-Chi Lin
15 papers receiving 346 citations
Peers
Comparison fields: 5 of 85
- Gender Studies 74
- Demography 50
- Radiological and Ultrasound Technology 15
- Occupational Therapy 11
- Aging 4
Countries citing papers authored by Tin-Chi Lin
This map shows the geographic impact of Tin-Chi Lin'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 Tin-Chi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tin-Chi Lin more than expected).
Fields of papers citing papers by Tin-Chi Lin
This network shows the impact of papers produced by Tin-Chi Lin. 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 Tin-Chi Lin. The network helps show where Tin-Chi Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Tin-Chi Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 61 | |
| 2 | 2024 | 55 | |
| 3 | 2013 | 48 | |
| 4 | 2015 | 33 | |
| 5 | 2013 | 31 | |
| 6 | 2021 | 31 | |
| 7 | 2014 | 30 | |
| 8 | 2013 | 29 | |
| 9 | 2022 | 16 | |
| 10 | 2016 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2022 | 0 |
About Tin-Chi Lin
Tin-Chi Lin is a scholar working on Molecular Biology, Genetics, Immunology, Gender Studies and Pathology and Forensic Medicine, having authored 16 papers that have together received 359 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (3 papers), Demographic Trends and Gender Preferences (2 papers), Bioinformatics and Genomic Networks (2 papers), Genetic Associations and Epidemiology (2 papers), Injury Epidemiology and Prevention (1 paper), Migration and Labor Dynamics (1 paper), Dermatology and Skin Diseases (1 paper) and Autoimmune Bullous Skin Diseases (1 paper). The work is most often cited by research in Gender Studies (74 citations), Demography (50 citations), Radiological and Ultrasound Technology (15 citations), Occupational Therapy (11 citations) and Aging (4 citations). Tin-Chi Lin has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Santosh K. Verma, Theodore K. Courtney, Helen Marucci‐Wellman, Joanna Willetts, Melanye J. Brennan, Alı́cia Adserà, David A. Lombardi, Robert R. McLean, Blessing Dube and Clinton Enos. Their work appears in journals such as Journal of the American Academy of Dermatology, American Journal of Public Health, Nature Communications, Journal of the European Academy of Dermatology and Venereology and Journal of Dermatological Treatment.
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.