Mingyan Lin
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Urology top 2%
Papers in
-
- Pluripotent Stem Cells Research 7
- RNA Research and Splicing 7
- Congenital heart defects research 5
- Single-cell and spatial transcriptomics 4
- Genomics and Chromatin Dynamics 4
- Genetics 9
- Genetics and Neurodevelopmental Disorders 7
- Co-authors
- Deyou Zheng (21 shared papers)Herbert M. Lachman (12 shared papers)Erika Pedrosa (10 shared papers)Anastasia Hrabovsky (8 shared papers)Elaine Fuchs (3 shared papers)Lisa Polak (2 shared papers)Wen‐Hui Lien (2 shared papers)Shahina B. Maqbool (1 shared paper)
- Journals
- PLoS ONE (7 papers)BMC Genomics (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Cell (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Mingyan Lin
38 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 512
- Urology 160
- Aging 41
- Molecular Biology 1.5k
- Developmental Neuroscience 79
Countries citing papers authored by Mingyan Lin
This map shows the geographic impact of Mingyan 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 Mingyan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyan Lin more than expected).
Fields of papers citing papers by Mingyan Lin
This network shows the impact of papers produced by Mingyan 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 Mingyan Lin. The network helps show where Mingyan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyan 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 239 | |
| 2 | 2013 | 209 | |
| 3 | 2011 | 208 | |
| 4 | 2014 | 180 | |
| 5 | 2014 | 176 | |
| 6 | 2015 | 116 | |
| 7 | 2021 | 95 | |
| 8 | 2015 | 95 | |
| 9 | 2016 | 90 | |
| 10 | 2015 | 80 | |
| 11 | 2016 | 65 | |
| 12 | 2014 | 63 | |
| 13 | 2012 | 53 | |
| 14 | 2014 | 48 | |
| 15 | 2016 | 40 | |
| 16 | 2014 | 39 | |
| 17 | 2013 | 35 | |
| 18 | 2015 | 32 | |
| 19 | 2014 | 29 | |
| 20 | 2018 | 27 |
About Mingyan Lin
Mingyan Lin is a scholar working on Molecular Biology, Genetics, Cancer Research, Developmental Neuroscience and Urology, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (7 papers), Pluripotent Stem Cells Research (7 papers), RNA Research and Splicing (7 papers), Cancer-related molecular mechanisms research (6 papers), Congenital heart defects research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Single-cell and spatial transcriptomics (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Cancer Research (512 citations), Urology (160 citations), Aging (41 citations), Molecular Biology (1.5k citations) and Developmental Neuroscience (79 citations). Mingyan Lin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Deyou Zheng, Herbert M. Lachman, Erika Pedrosa, Anastasia Hrabovsky, Elaine Fuchs, Lisa Polak, Wen‐Hui Lien, Shahina B. Maqbool, Kenneth Lay and Xiaochun Long. Their work appears in journals such as PLoS ONE, BMC Genomics, Arteriosclerosis Thrombosis and Vascular Biology, Cell and Nature Cell 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.