Mi Shi
Impact in
-
- Circadian rhythm and melatonin
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- Ubiquitin and proteasome pathways 2
- Fungal and yeast genetics research 2
- Photosynthetic Processes and Mechanisms 2
-
- Circadian rhythm and melatonin 12
- Co-authors
- Jay Dunlap (11 shared papers)Jennifer Loros (11 shared papers)Luis Larrondo (4 shared papers)William J. Belden (4 shared papers)Arun Mehra (5 shared papers)Hildur V. Colot (5 shared papers)Christopher L. Baker (4 shared papers)Allan C. Froehlich (2 shared papers)
- Journals
- Cold Spring Harbor Symposia on Quantitative Biology (3 papers)PLoS Computational Biology (2 papers)Genetics (2 papers)Scientific Reports (2 papers)eLife (2 papers)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Mi Shi
24 papers receiving 861 citations
Peers
Comparison fields: 5 of 67
- Endocrine and Autonomic Systems 407
- Aging 87
- Plant Science 411
- Cellular and Molecular Neuroscience 165
- Molecular Biology 391
Countries citing papers authored by Mi Shi
This map shows the geographic impact of Mi Shi'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 Mi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Shi more than expected).
Fields of papers citing papers by Mi Shi
This network shows the impact of papers produced by Mi Shi. 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 Mi Shi. The network helps show where Mi Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Shi, 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 | 2007 | 153 | |
| 2 | 2009 | 106 | |
| 3 | 2014 | 78 | |
| 4 | 2009 | 74 | |
| 5 | 2007 | 74 | |
| 6 | 2019 | 64 | |
| 7 | 2008 | 53 | |
| 8 | 2006 | 53 | |
| 9 | 2020 | 37 | |
| 10 | 2021 | 31 | |
| 11 | 2015 | 27 | |
| 12 | 2007 | 26 | |
| 13 | 2018 | 25 | |
| 14 | 2007 | 21 | |
| 15 | 2012 | 19 | |
| 16 | 2004 | 12 | |
| 17 | Effect of F209S Mutation of Escherichia coli AroG on Resistance to Phenylalanine Feedback Inhibition. | 2000 | 10 |
| 18 | 2005 | 4 | |
| 19 | 2017 | 2 | |
| 20 | 2018 | 2 |
About Mi Shi
Mi Shi is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Plant Science, Cellular and Molecular Neuroscience and Genetics, having authored 24 papers that have together received 876 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (12 papers), Light effects on plants (8 papers), Plant Molecular Biology Research (3 papers), Photoreceptor and optogenetics research (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Genomics and Diagnostics (2 papers), Fungal and yeast genetics research (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (407 citations), Aging (87 citations), Plant Science (411 citations), Cellular and Molecular Neuroscience (165 citations) and Molecular Biology (391 citations). Mi Shi has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Jay Dunlap, Jennifer Loros, Luis Larrondo, William J. Belden, Arun Mehra, Hildur V. Colot, Christopher L. Baker, Allan C. Froehlich, Amita Sehgal and Chen‐Hui Chen. Their work appears in journals such as Cold Spring Harbor Symposia on Quantitative Biology, PLoS Computational Biology, Genetics, Scientific Reports and eLife.
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.