Tom Pohida
Impact in
-
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
-
- Retinal Development and Disorders 2
-
- Prostate Cancer Diagnosis and Treatment 2
- Co-authors
- Anand Swaroop (2 shared papers)Linn Gieser (2 shared papers)Nicole Y. Morgan (2 shared papers)Christopher J. Panebianco (2 shared papers)Matthew J. Brooks (2 shared papers)Tyler J. DiStefano (2 shared papers)Koray Dogan Kaya (2 shared papers)Holger R. Roth (2 shared papers)
- Journals
- Stem Cell Reports (2 papers)eNeuro (2 papers)Frontiers in Aging Neuroscience (1 paper)Circulation Research (1 paper)Biomedical Optics Express (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Tom Pohida
10 papers receiving 311 citations
Peers
Comparison fields: 5 of 70
- Cellular and Molecular Neuroscience 67
- Biophysics 19
- Health Informatics 4
- Biomedical Engineering 122
- Radiology, Nuclear Medicine and Imaging 55
Countries citing papers authored by Tom Pohida
This map shows the geographic impact of Tom Pohida'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 Tom Pohida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Pohida more than expected).
Fields of papers citing papers by Tom Pohida
This network shows the impact of papers produced by Tom Pohida. 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 Tom Pohida. The network helps show where Tom Pohida may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Pohida, 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 | 2017 | 150 | |
| 2 | 2017 | 55 | |
| 3 | 2010 | 25 | |
| 4 | 2020 | 22 | |
| 5 | 2019 | 21 | |
| 6 | 2019 | 18 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 7 | |
| 9 | 2011 | 7 | |
| 10 | 2018 | 1 | |
| 11 | 2007 | 0 |
About Tom Pohida
Tom Pohida is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Endocrine and Autonomic Systems and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (2 papers), Medical Image Segmentation Techniques (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Circadian rhythm and melatonin (2 papers), Retinal Development and Disorders (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Balance, Gait, and Falls Prevention (1 paper) and Radiation Detection and Scintillator Technologies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (67 citations), Biophysics (19 citations), Health Informatics (4 citations), Biomedical Engineering (122 citations) and Radiology, Nuclear Medicine and Imaging (55 citations). Tom Pohida has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Anand Swaroop, Linn Gieser, Nicole Y. Morgan, Christopher J. Panebianco, Matthew J. Brooks, Tyler J. DiStefano, Koray Dogan Kaya, Holger R. Roth, Nathan Lay and Evan McCreedy. Their work appears in journals such as Stem Cell Reports, eNeuro, Frontiers in Aging Neuroscience, Circulation Research and Biomedical Optics Express.
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.