M. Gutman
- Molecular Biology top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Physical and Theoretical Chemistry top 2%
- Cellular and Molecular Neuroscience top 5%
- Materials Chemistry
- Co-authors
- E. NachlielThomas P. SingerEdna B. KearneyDan HuppertNahum KiryatiHelmut BeinertJohn E. CasidaLeonid Tartakovsky
- Topics
- Spectroscopy and Quantum Chemical Studies (17 papers)Photoreceptor and optogenetics research (16 papers)Nonlinear Dynamics and Pattern Formation (9 papers)
- Cited by
- Physical and Theoretical ChemistryFluid Flow and Transfer ProcessesCellular and Molecular Neuroscience
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- IsraelUnited StatesSweden
In The Last Decade
M. Gutman
79 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 820
- Atomic and Molecular Physics, and Optics 363
- Physical and Theoretical Chemistry 310
- Cellular and Molecular Neuroscience 290
- Materials Chemistry 170
Countries citing papers authored by M. Gutman
This map shows the geographic impact of M. Gutman'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 M. Gutman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gutman more than expected).
Fields of papers citing papers by M. Gutman
This network shows the impact of papers produced by M. Gutman. 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 M. Gutman. The network helps show where M. Gutman may publish in the future.
Co-authorship network of co-authors of M. Gutman
This figure shows the co-authorship network connecting the top 25 collaborators of M. Gutman. A scholar is included among the top collaborators of M. Gutman 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 M. Gutman. M. Gutman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 45 | |
| 10 | 29 | |
| 11 | 12 | |
| 12 | 36 | |
| 13 | 13 | |
| 14 | 24 | |
| 15 | 35 | |
| 16 | 44 | |
| 17 | 11 | |
| 18 | 24 | |
| 19 | 18 | |
| 20 | 17 |
About M. Gutman
M. Gutman is a scholar working on Fluid Flow and Transfer Processes, Acoustics and Ultrasonics and Cellular and Molecular Neuroscience, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (17 papers), Photoreceptor and optogenetics research (16 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). The work is most often cited by research in Physical and Theoretical Chemistry (310 citations), Fluid Flow and Transfer Processes (107 citations) and Cellular and Molecular Neuroscience (290 citations). M. Gutman has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include E. Nachliel, Thomas P. Singer, Edna B. Kearney, Dan Huppert, Nahum Kiryati, Helmut Beinert, John E. Casida, Leonid Tartakovsky, Eccleston A. Kean and E. Kolodney. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.