Brian Lin
Impact in
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
- Endoplasmic Reticulum Stress and Disease
-
- Heat shock proteins research
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Ubiquitin and proteasome pathways
- Wnt/β-catenin signaling in development and cancer
Papers in
-
- Heat shock proteins research 2
- Ubiquitin and proteasome pathways 1
- DNA Repair Mechanisms 1
- Mitochondrial Function and Pathology 1
- Genomics and Chromatin Dynamics 1
- Genetics 1
- Co-authors
- Wolfgang Dillmann (2 shared papers)Kurt Ming-Chao Lin (2 shared papers)Ian Lian (1 shared paper)Immo E. Scheffler (1 shared paper)Ruben Mestril (1 shared paper)Kun‐Liang Guan (1 shared paper)Steven W. Plouffe (1 shared paper)Zhipeng Meng (1 shared paper)
- Journals
- Molecular Cell (2 papers)The FASEB Journal (1 paper)Circulation (1 paper)Journal of Biological Chemistry (1 paper)Molecular Therapy — Nucleic Acids (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Brian Lin
6 papers receiving 511 citations
Peers
Comparison fields: 5 of 69
- Cell Biology 220
- Molecular Biology 341
- Aging 6
- Pathology and Forensic Medicine 37
- Cancer Research 29
Countries citing papers authored by Brian Lin
This map shows the geographic impact of Brian 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 Brian Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Lin more than expected).
Fields of papers citing papers by Brian Lin
This network shows the impact of papers produced by Brian 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 Brian Lin. The network helps show where Brian Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian 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 | 2001 | 245 | |
| 2 | 2016 | 219 | |
| 3 | 2004 | 29 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 6 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 0 |
About Brian Lin
Brian Lin is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 7 papers that have together received 517 indexed citations. Recurring topics across this work include Heat shock proteins research (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper), DNA Repair Mechanisms (1 paper), Mitochondrial Function and Pathology (1 paper), Cystic Fibrosis Research Advances (1 paper), Genomics and Chromatin Dynamics (1 paper) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Cell Biology (220 citations), Molecular Biology (341 citations), Aging (6 citations), Pathology and Forensic Medicine (37 citations) and Cancer Research (29 citations). Brian Lin has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Wolfgang Dillmann, Kurt Ming-Chao Lin, Ian Lian, Immo E. Scheffler, Ruben Mestril, Kun‐Liang Guan, Steven W. Plouffe, Zhipeng Meng, Audrey W. Hong and Kimberly C. Lin. Their work appears in journals such as Molecular Cell, The FASEB Journal, Circulation, Journal of Biological Chemistry and Molecular Therapy — Nucleic Acids.
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.