Michael J. Shen
Impact in
Papers in
-
- CRISPR and Genetic Engineering 4
- Fungal and yeast genetics research 4
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 3
- RNA Interference and Gene Delivery 2
- Microbial Metabolic Engineering and Bioproduction 2
- Genetics 3
- Glioma Diagnosis and Treatment 3
- Co-authors
- John K. Park (5 shared papers)William H. Frishman (1 shared paper)Arthur L. Caplan (1 shared paper)Brendan Parent (1 shared paper)Mason A. Brown (2 shared papers)Yong‐Soo Choi (2 shared papers)Jef D. Boeke (6 shared papers)Sungyoung Auh (1 shared paper)
- Journals
- Nature Communications (3 papers)Science (2 papers)Molecular Cell (2 papers)Journal of neurosurgery (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Michael J. Shen
27 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 137
- Genetics 304
- Neurology 200
- Developmental Neuroscience 86
- Aging 33
- Molecular Biology 928
Countries citing papers authored by Michael J. Shen
This map shows the geographic impact of Michael J. Shen'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 Michael J. Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Shen more than expected).
Fields of papers citing papers by Michael J. Shen
This network shows the impact of papers produced by Michael J. Shen. 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 Michael J. Shen. The network helps show where Michael J. Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Shen, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 309 | |
| 2 | 2010 | 293 | |
| 3 | 2017 | 196 | |
| 4 | 2018 | 131 | |
| 5 | 2015 | 126 | |
| 6 | 2017 | 106 | |
| 7 | 2018 | 84 | |
| 8 | 2018 | 81 | |
| 9 | 2014 | 64 | |
| 10 | 2016 | 54 | |
| 11 | 2012 | 47 | |
| 12 | 2020 | 44 | |
| 13 | 2018 | 42 | |
| 14 | 2023 | 28 | |
| 15 | 2011 | 25 | |
| 16 | 2021 | 25 | |
| 17 | 2021 | 25 | |
| 18 | 2017 | 21 | |
| 19 | 2016 | 20 | |
| 20 | 2020 | 16 |
About Michael J. Shen
Michael J. Shen is a scholar working on Molecular Biology, Genetics, Developmental Neuroscience, Otorhinolaryngology and Gastroenterology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Fungal and yeast genetics research (4 papers), RNA and protein synthesis mechanisms (4 papers), Glioma Diagnosis and Treatment (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA Interference and Gene Delivery (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Advanced Materials and Mechanics (2 papers). The work is most often cited by research in Genetics (304 citations), Neurology (200 citations), Developmental Neuroscience (86 citations), Aging (33 citations) and Molecular Biology (928 citations). Michael J. Shen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John K. Park, William H. Frishman, Arthur L. Caplan, Brendan Parent, Mason A. Brown, Yong‐Soo Choi, Jef D. Boeke, Sungyoung Auh, Tiffany R. Hodges and Howard Alan Fine. Their work appears in journals such as Nature Communications, Science, Molecular Cell, Journal of neurosurgery and Journal of Clinical Oncology.
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.