Shannon M. White
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ 4
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- Pancreatic and Hepatic Oncology Research 2
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- FOXO transcription factor regulation 2
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- Hemostasis and retained surgical items 2
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- Surgical Simulation and Training 2
- Minimally Invasive Surgical Techniques 2
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- Computational Drug Discovery Methods 2
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- Social and Intergroup Psychology 2
- Co-authors
- Chunling YiShigekazu MurakamiGarrett T. GrahamLouis M. WeinerRishi SuranaDavid ShahbazianIvan NemazanyyMario Pende
- Cited by
- Cell BiologyOncologyCancer Research
- Journals
- Nucleic Acids Research (1 paper)Journal of Personality and Social Psychology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Shannon M. White
23 papers receiving 629 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Cell Biology 240
- Oncology 124
- Cancer Research 64
- Molecular Biology 269
- Immunology 82
Countries citing papers authored by Shannon M. White
This map shows the geographic impact of Shannon M. White'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 Shannon M. White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon M. White more than expected).
Fields of papers citing papers by Shannon M. White
This network shows the impact of papers produced by Shannon M. White. 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 Shannon M. White. The network helps show where Shannon M. White may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shannon M. White, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Short-chain fatty acid metabolites propionate and butyrate are unique epigenetic regulatory elements linking diet, metabolism and gene expressionbreakdown → | 2025 | 42 |
| 2 | 2023 | 5 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 51 | |
| 7 | 2019 | 87 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 59 | |
| 10 | 2018 | 1 | |
| 11 | 2016 | 47 | |
| 12 | 2016 | 24 | |
| 13 | 2016 | 177 | |
| 14 | 2013 | 3 | |
| 15 | 2013 | 6 | |
| 16 | Immediate impact of an intensive one-week laparoscopy training program on laparoscopic skills among postgraduate urologists. | 2008 | 36 |
| 17 | 2008 | 7 | |
| 18 | 2007 | 26 | |
| 19 | 2006 | 27 | |
| 20 | 2006 | 3 |
About Shannon M. White
Shannon M. White is a scholar working on Cell Biology, Gender Studies and Hematology, having authored 23 papers that have together received 637 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), Hemostasis and retained surgical items (2 papers), Surgical Simulation and Training (2 papers), Computational Drug Discovery Methods (2 papers), Social and Intergroup Psychology (2 papers), Minimally Invasive Surgical Techniques (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Cell Biology (240 citations), Oncology (124 citations) and Cancer Research (64 citations). Shannon M. White has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Chunling Yi, Shigekazu Murakami, Garrett T. Graham, Louis M. Weiner, Rishi Surana, David Shahbazian, Ivan Nemazanyy, Mario Pende, Stephen J. Merrill and Richard J. Povinelli. Their work appears in journals such as Nucleic Acids Research, Journal of Personality and Social Psychology and Nature Communications.
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.