Tom Guterman
Impact in
- Biomaterials top 2%
- Supramolecular Self-Assembly in Materials
- Molecular Medicine top 10%
Papers in ⓘ
- Biomaterials 17
- Supramolecular Self-Assembly in Materials 17
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- Polydiacetylene-based materials and applications 10
- Co-authors
- Ehud Gazit (17 shared papers)Lihi Adler‐Abramovich (8 shared papers)Priyadarshi Chakraborty (5 shared papers)Tal Dvir (3 shared papers)Galit Fichman (4 shared papers)Yiming Tang (5 shared papers)Guanghong Wei (5 shared papers)Tamar Brosh (1 shared paper)
- Journals
- ACS Nano (3 papers)Advanced Materials (2 papers)Angewandte Chemie International Edition (2 papers)CrystEngComm (1 paper)Chemical Communications (1 paper)
- Partner nations
- IsraelChinaUnited States
In The Last Decade
Tom Guterman
18 papers receiving 758 citations
Peers
Comparison fields: 5 of 69
- Biomaterials 545
- Molecular Medicine 54
- Organic Chemistry 280
- Microbiology 51
- Polymers and Plastics 81
Countries citing papers authored by Tom Guterman
This map shows the geographic impact of Tom Guterman'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 Guterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Guterman more than expected).
Fields of papers citing papers by Tom Guterman
This network shows the impact of papers produced by Tom Guterman. 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 Guterman. The network helps show where Tom Guterman may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Guterman, 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 | 2018 | 179 | |
| 2 | 2020 | 87 | |
| 3 | 2016 | 69 | |
| 4 | 2019 | 69 | |
| 5 | 2014 | 68 | |
| 6 | 2015 | 37 | |
| 7 | 2019 | 32 | |
| 8 | 2020 | 32 | |
| 9 | 2016 | 31 | |
| 10 | 2019 | 31 | |
| 11 | 2020 | 30 | |
| 12 | 2019 | 30 | |
| 13 | 2018 | 18 | |
| 14 | 2018 | 17 | |
| 15 | 2019 | 9 | |
| 16 | 2014 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2015 | 7 |
About Tom Guterman
Tom Guterman is a scholar working on Biomaterials, Organic Chemistry, Virology, Molecular Medicine and Microbiology, having authored 18 papers that have together received 762 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (17 papers), Polydiacetylene-based materials and applications (10 papers), Advanced biosensing and bioanalysis techniques (3 papers), Luminescence and Fluorescent Materials (3 papers), Biochemical effects in animals (2 papers), Lipid Membrane Structure and Behavior (2 papers), Bacteriophages and microbial interactions (2 papers) and Bone and Dental Protein Studies (2 papers). The work is most often cited by research in Biomaterials (545 citations), Molecular Medicine (54 citations), Organic Chemistry (280 citations), Microbiology (51 citations) and Polymers and Plastics (81 citations). Tom Guterman has collaborated with scholars based in Israel, China and United States. Frequent co-authors include Ehud Gazit, Lihi Adler‐Abramovich, Priyadarshi Chakraborty, Tal Dvir, Galit Fichman, Yiming Tang, Guanghong Wei, Tamar Brosh, Moran Yadid and Ayyalusamy Ramamoorthy. Their work appears in journals such as ACS Nano, Advanced Materials, Angewandte Chemie International Edition, CrystEngComm and Chemical 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.