Gregory R. Smith
Impact in
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- Muscle Physiology and Disorders
- Fungal and yeast genetics research
- Single-cell and spatial transcriptomics
- Rehabilitation top 10%
- Exercise and Physiological Responses
Papers in
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- Single-cell and spatial transcriptomics 5
- Muscle Physiology and Disorders 4
- RNA Research and Splicing 3
- Genomics and Phylogenetic Studies 2
- Ecology 6
- Bacteriophages and microbial interactions 6
- Co-authors
- Stuart C. Sealfon (10 shared papers)Frederique Ruf-Zamojski (8 shared papers)Venugopalan D. Nair (8 shared papers)Lan Zhou (4 shared papers)Paul J. Cullen (1 shared paper)Scott A. Givan (1 shared paper)G. F. Sprague (1 shared paper)Elena Zaslavsky (4 shared papers)
- Journals
- Biophysical Journal (4 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Research-Technology Management (2 papers)iScience (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Gregory R. Smith
25 papers receiving 706 citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 474
- Rehabilitation 40
- Aging 10
- Cell Biology 87
- Genetics 55
Countries citing papers authored by Gregory R. Smith
This map shows the geographic impact of Gregory R. Smith'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 Gregory R. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory R. Smith more than expected).
Fields of papers citing papers by Gregory R. Smith
This network shows the impact of papers produced by Gregory R. Smith. 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 Gregory R. Smith. The network helps show where Gregory R. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory R. Smith, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 194 | |
| 2 | 2002 | 97 | |
| 3 | 2020 | 76 | |
| 4 | 2019 | 67 | |
| 5 | 2016 | 55 | |
| 6 | 1999 | 38 | |
| 7 | 2022 | 37 | |
| 8 | 2014 | 26 | |
| 9 | 2012 | 25 | |
| 10 | 2022 | 23 | |
| 11 | 2018 | 15 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 1986 | 7 | |
| 17 | 2016 | 6 | |
| 18 | 1991 | 6 | |
| 19 | 2016 | 4 | |
| 20 | 2022 | 3 |
About Gregory R. Smith
Gregory R. Smith is a scholar working on Molecular Biology, Ecology, Plant Science, Genetics and Physiology, having authored 26 papers that have together received 726 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (6 papers), Single-cell and spatial transcriptomics (5 papers), Muscle Physiology and Disorders (4 papers), Legume Nitrogen Fixing Symbiosis (3 papers), RNA Research and Splicing (3 papers), Adipose Tissue and Metabolism (3 papers), Evolution and Genetic Dynamics (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Biology (474 citations), Rehabilitation (40 citations), Aging (10 citations), Cell Biology (87 citations) and Genetics (55 citations). Gregory R. Smith has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Stuart C. Sealfon, Frederique Ruf-Zamojski, Venugopalan D. Nair, Lan Zhou, Paul J. Cullen, Scott A. Givan, G. F. Sprague, Elena Zaslavsky, Russell Schwartz and Lu Xie. Their work appears in journals such as Biophysical Journal, PLoS ONE, Scientific Reports, Research-Technology Management and iScience.
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.