Greg Fleishman
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Regulation of Appetite and Obesity
Papers in
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- Advanced Neuroimaging Techniques and Applications 5
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- Single-cell and spatial transcriptomics 3
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Scott M. Sternson (2 shared papers)Paul W. Tillberg (3 shared papers)Andrew L. Lemire (2 shared papers)Wyatt Korff (2 shared papers)Yuhan Wang (2 shared papers)Mark Eddison (2 shared papers)Fredrick E. Henry (2 shared papers)Konrad Rokicki (2 shared papers)
- Journals
- Science (1 paper)eLife (1 paper)Cell (1 paper)Medical Image Analysis (1 paper)American Journal of Neuroradiology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Greg Fleishman
11 papers receiving 197 citations
Peers
Comparison fields: 5 of 56
- Biophysics 26
- Endocrine and Autonomic Systems 29
- Structural Biology 4
- Behavioral Neuroscience 7
- Neurology 14
Countries citing papers authored by Greg Fleishman
This map shows the geographic impact of Greg Fleishman'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 Greg Fleishman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Fleishman more than expected).
Fields of papers citing papers by Greg Fleishman
This network shows the impact of papers produced by Greg Fleishman. 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 Greg Fleishman. The network helps show where Greg Fleishman may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Fleishman, 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 | 2021 | 91 | |
| 2 | 2023 | 38 | |
| 3 | 2018 | 27 | |
| 4 | 2025 | 12 | |
| 5 | 2015 | 10 | |
| 6 | 2018 | 7 | |
| 7 | 2019 | 6 | |
| 8 | 2015 | 5 | |
| 9 | 2015 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2017 | 1 |
About Greg Fleishman
Greg Fleishman is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Computer Vision and Pattern Recognition, Geometry and Topology and Cognitive Neuroscience, having authored 11 papers that have together received 199 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (5 papers), Single-cell and spatial transcriptomics (3 papers), Medical Image Segmentation Techniques (3 papers), Cell Image Analysis Techniques (2 papers), Functional Brain Connectivity Studies (2 papers), Morphological variations and asymmetry (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Biophysics (26 citations), Endocrine and Autonomic Systems (29 citations), Structural Biology (4 citations), Behavioral Neuroscience (7 citations) and Neurology (14 citations). Greg Fleishman has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Scott M. Sternson, Paul W. Tillberg, Andrew L. Lemire, Wyatt Korff, Yuhan Wang, Mark Eddison, Fredrick E. Henry, Konrad Rokicki, Shengjin Xu and Uwe Schmidt. Their work appears in journals such as Science, eLife, Cell, Medical Image Analysis and American Journal of Neuroradiology.
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.