Albert Lin
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
Papers in
-
- Neurobiology and Insect Physiology Research 4
- Photoreceptor and optogenetics research 2
-
- RNA Research and Splicing 2
- Co-authors
- Thomas Gregor (1 shared paper)Hernán G. García (1 shared paper)Mikhail Tikhonov (1 shared paper)Ricardo Bastos (1 shared paper)Brian Burke (1 shared paper)Pamela S. Ohashi (4 shared papers)Linh T. Nguyen (1 shared paper)Anita Schildknecht (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Methods (1 paper)The American Surgeon (1 paper)The Journal of Cell Biology (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Albert Lin
19 papers receiving 953 citations
Peers
Comparison fields: 5 of 99
- Aging 143
- Endocrine and Autonomic Systems 68
- Immunology 190
- Molecular Biology 506
- Cellular and Molecular Neuroscience 131
Countries citing papers authored by Albert Lin
This map shows the geographic impact of Albert 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 Albert Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Lin more than expected).
Fields of papers citing papers by Albert Lin
This network shows the impact of papers produced by Albert 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 Albert Lin. The network helps show where Albert Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 226 | |
| 2 | 1996 | 174 | |
| 3 | 2020 | 134 | |
| 4 | 2008 | 102 | |
| 5 | 2009 | 94 | |
| 6 | 2022 | 39 | |
| 7 | 1991 | 39 | |
| 8 | 2024 | 35 | |
| 9 | 1989 | 32 | |
| 10 | 1992 | 22 | |
| 11 | 2023 | 19 | |
| 12 | 2003 | 18 | |
| 13 | 2011 | 13 | |
| 14 | 1971 | 10 | |
| 15 | 2021 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2024 | 2 | |
| 18 | 2003 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Albert Lin
Albert Lin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Immunology, Genetics and Aging, having authored 21 papers that have together received 973 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Neurobiology and Insect Physiology Research (4 papers), Immune Cell Function and Interaction (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Immunotherapy and Immune Responses (3 papers), Cell Image Analysis Techniques (2 papers), RNA Research and Splicing (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Aging (143 citations), Endocrine and Autonomic Systems (68 citations), Immunology (190 citations), Molecular Biology (506 citations) and Cellular and Molecular Neuroscience (131 citations). Albert Lin has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Thomas Gregor, Hernán G. García, Mikhail Tikhonov, Ricardo Bastos, Brian Burke, Pamela S. Ohashi, Linh T. Nguyen, Anita Schildknecht, Vivek Venkatachalam and Aravinthan D. T. Samuel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods, The American Surgeon, The Journal of Cell Biology and Current Biology.
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.