Gen Lin
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Fungal and yeast genetics research 9
- Genomics and Chromatin Dynamics 4
- RNA and protein synthesis mechanisms 3
- DNA Repair Mechanisms 3
- Genetics 7
- Genetic Mapping and Diversity in Plants and Animals 5
- Co-authors
- Lars M. Steinmetz (12 shared papers)Anca Margineanu (1 shared paper)Alberto Ardura-Fabregat (1 shared paper)Steffen Jung (1 shared paper)J. Andrew Pospisilik (1 shared paper)Francisco Fernández‐Klett (1 shared paper)Anne Drougard (1 shared paper)Marco Prinz (1 shared paper)
- Journals
- Genetics (3 papers)G3 Genes Genomes Genetics (3 papers)Alzheimer s & Dementia (1 paper)Blood (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Gen Lin
24 papers receiving 983 citations
Peers
Comparison fields: 5 of 101
- Neurology 378
- Developmental Neuroscience 75
- Immunology 315
- Biological Psychiatry 31
- Molecular Biology 435
Countries citing papers authored by Gen Lin
This map shows the geographic impact of Gen 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 Gen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Lin more than expected).
Fields of papers citing papers by Gen Lin
This network shows the impact of papers produced by Gen 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 Gen Lin. The network helps show where Gen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Gen 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 425 | |
| 2 | 2012 | 77 | |
| 3 | 2013 | 59 | |
| 4 | 2022 | 55 | |
| 5 | 2009 | 49 | |
| 6 | 2013 | 40 | |
| 7 | 2023 | 31 | |
| 8 | 2011 | 30 | |
| 9 | 2017 | 30 | |
| 10 | 2015 | 29 | |
| 11 | 2017 | 28 | |
| 12 | 2021 | 23 | |
| 13 | 2011 | 23 | |
| 14 | 2014 | 22 | |
| 15 | 2019 | 18 | |
| 16 | 2015 | 15 | |
| 17 | 2021 | 11 | |
| 18 | 2023 | 8 | |
| 19 | 2012 | 8 | |
| 20 | 2017 | 6 |
About Gen Lin
Gen Lin is a scholar working on Molecular Biology, Genetics, Immunology, Neurology and Cancer Research, having authored 24 papers that have together received 994 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (9 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Genomics and Chromatin Dynamics (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers), DNA Repair Mechanisms (3 papers), MicroRNA in disease regulation (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Neurology (378 citations), Developmental Neuroscience (75 citations), Immunology (315 citations), Biological Psychiatry (31 citations) and Molecular Biology (435 citations). Gen Lin has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Lars M. Steinmetz, Anca Margineanu, Alberto Ardura-Fabregat, Steffen Jung, J. Andrew Pospisilik, Francisco Fernández‐Klett, Anne Drougard, Marco Prinz, Dominic Grün and Tuan Leng Tay. Their work appears in journals such as Genetics, G3 Genes Genomes Genetics, Alzheimer s & Dementia, Blood and Journal of Neuroscience.
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.