Jonathan Nissanov
- Cognitive Neuroscience top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cell Biology top 5%
- Co-authors
- Robert C. EatonRandolf DiDomenicoSteven E. ArnoldOleh J. TretiakThomas W. MitchellDavid A. BennettJohn Q. TrojanowskiG. Allan Johnson
- Topics
- Medical Image Segmentation Techniques (13 papers)Advanced MRI Techniques and Applications (9 papers)Cell Image Analysis Techniques (8 papers)
- Partner nations
- United StatesSpainIsrael
In The Last Decade
Jonathan Nissanov
55 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 143
- Cognitive Neuroscience 509
- Molecular Biology 469
- Cellular and Molecular Neuroscience 425
- Radiology, Nuclear Medicine and Imaging 392
- Cell Biology 343
Countries citing papers authored by Jonathan Nissanov
This map shows the geographic impact of Jonathan Nissanov'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 Jonathan Nissanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Nissanov more than expected).
Fields of papers citing papers by Jonathan Nissanov
This network shows the impact of papers produced by Jonathan Nissanov. 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 Jonathan Nissanov. The network helps show where Jonathan Nissanov may publish in the future.
Co-authorship network of co-authors of Jonathan Nissanov
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Nissanov. A scholar is included among the top collaborators of Jonathan Nissanov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Nissanov. Jonathan Nissanov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 80 | |
| 2 | 194 | |
| 3 | 13 | |
| 4 | Cryoplane fluorescence microscopy | 4 |
| 5 | 25 | |
| 6 | 42 | |
| 7 | 8 | |
| 8 | 124 | |
| 9 | 22 | |
| 10 | 67 | |
| 11 | 39 | |
| 12 | 8 | |
| 13 | 52 | |
| 14 | 50 | |
| 15 | 207 | |
| 16 | 3 | |
| 17 | 19 | |
| 18 | 2 | |
| 19 | 139 | |
| 20 | 23 |
About Jonathan Nissanov
Jonathan Nissanov is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Structural Biology, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Advanced MRI Techniques and Applications (9 papers) and Cell Image Analysis Techniques (8 papers). The work is most often cited by research in Cognitive Neuroscience (509 citations), Biophysics (145 citations) and Cellular and Molecular Neuroscience (425 citations). Jonathan Nissanov has collaborated with scholars based in United States, Spain and Israel. Frequent co-authors include Robert C. Eaton, Randolf DiDomenico, Steven E. Arnold, Oleh J. Tretiak, Thomas W. Mitchell, David A. Bennett, John Q. Trojanowski, G. Allan Johnson, Song Liu and Alexandra Badea. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.
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.