Y Lin
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Immunology top 10%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
Papers in
-
- Mycobacterium research and diagnosis 4
- Cervical Cancer and HPV Research 3
-
- Tuberculosis Research and Epidemiology 4
- Co-authors
- Peter F. Barnes (5 shared papers)M Zhang (3 shared papers)Dinakar Iyer (4 shared papers)Jianhua Gong (3 shared papers)J S Abrams (1 shared paper)Jianhua Gong (1 shared paper)Florence M. Hofman (1 shared paper)Robert L. Modlin (1 shared paper)
- Journals
- Infection and Immunity (4 papers)Gynecologic Oncology (3 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)BioTechniques (1 paper)Earth and Planetary Science Letters (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Y Lin
11 papers receiving 666 citations
Peers
Comparison fields: 5 of 63
- Infectious Diseases 468
- Immunology 266
- Epidemiology 384
- Surgery 168
- Endocrinology 14
Countries citing papers authored by Y Lin
This map shows the geographic impact of Y 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 Y Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y Lin more than expected).
Fields of papers citing papers by Y Lin
This network shows the impact of papers produced by Y 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 Y Lin. The network helps show where Y Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Y 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 | 1995 | 239 | |
| 2 | 1996 | 183 | |
| 3 | 1996 | 155 | |
| 4 | 1996 | 43 | |
| 5 | 1997 | 35 | |
| 6 | 2018 | 13 | |
| 7 | 2023 | 5 | |
| 8 | 2020 | 3 | |
| 9 | 2011 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2014 | 0 |
About Y Lin
Y Lin is a scholar working on Epidemiology, Infectious Diseases, Geophysics, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 12 papers that have together received 679 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers), Cervical Cancer and HPV Research (3 papers), Seismic Waves and Analysis (2 papers), earthquake and tectonic studies (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Infectious Diseases (468 citations), Immunology (266 citations), Epidemiology (384 citations), Surgery (168 citations) and Endocrinology (14 citations). Y Lin has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Peter F. Barnes, M Zhang, Dinakar Iyer, Jianhua Gong, J S Abrams, Jianhua Gong, Florence M. Hofman, Robert L. Modlin, Peter S. Linsley and T. H. Jordan. Their work appears in journals such as Infection and Immunity, Gynecologic Oncology, International Journal of Radiation Oncology*Biology*Physics, BioTechniques and Earth and Planetary Science Letters.
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.