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 8
- Genomics and Chromatin Dynamics 4
- DNA Repair Mechanisms 3
- RNA and protein synthesis mechanisms 3
- S100 Proteins and Annexins 2
- Co-authors
- Lars M. Steinmetz (12 shared papers)Steffen Jung (1 shared paper)Francisco Fernández‐Klett (1 shared paper)Thomas Stempfl (1 shared paper)Anne Drougard (1 shared paper)Ori Staszewski (1 shared paper)Dominic Mai (1 shared paper)Alberto Ardura-Fabregat (1 shared paper)
- Journals
- G3 Genes Genomes Genetics (3 papers)Genetics (3 papers)Blood (1 paper)European Journal of Immunology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Gen Lin
24 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Neurology 383
- Developmental Neuroscience 74
- Immunology 308
- Biological Psychiatry 32
- Molecular Biology 442
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 | 434 | |
| 2 | 2012 | 81 | |
| 3 | 2022 | 64 | |
| 4 | 2013 | 61 | |
| 5 | 2009 | 50 | |
| 6 | 2013 | 42 | |
| 7 | 2023 | 39 | |
| 8 | 2017 | 30 | |
| 9 | 2011 | 30 | |
| 10 | 2015 | 30 | |
| 11 | 2017 | 29 | |
| 12 | 2021 | 25 | |
| 13 | 2011 | 24 | |
| 14 | 2014 | 22 | |
| 15 | 2019 | 19 | |
| 16 | 2015 | 16 | |
| 17 | 2021 | 12 | |
| 18 | 2012 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2017 | 6 |
About Gen Lin
Gen Lin is a scholar working on Molecular Biology, Immunology, Genetics, Neurology and Cancer Research, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (8 papers), Genomics and Chromatin Dynamics (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), DNA Repair Mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers), Alzheimer's disease research and treatments (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Neurology (383 citations), Developmental Neuroscience (74 citations), Immunology (308 citations), Biological Psychiatry (32 citations) and Molecular Biology (442 citations). Gen Lin has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Lars M. Steinmetz, Steffen Jung, Francisco Fernández‐Klett, Thomas Stempfl, Anne Drougard, Ori Staszewski, Dominic Mai, Alberto Ardura-Fabregat, Josef Priller and Dominic Grün. Their work appears in journals such as G3 Genes Genomes Genetics, Genetics, Blood, European Journal of Immunology and The Journal of Immunology.
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.