Tamás Görbe
Impact in
- Organic Chemistry top 10%
- Synthesis and Catalytic Reactions
- Catalytic C–H Functionalization Methods
- Click Chemistry and Applications
- Cyclopropane Reaction Mechanisms
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- Asymmetric Hydrogenation and Catalysis
Papers in
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- Nonlinear Waves and Solitons 10
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- Enzyme Catalysis and Immobilization 4
- Microbial Metabolic Engineering and Bioproduction 2
- Chemical Synthesis and Analysis 2
- Co-authors
- Jan‐E. Bäckvall (5 shared papers)Christopher K. Prier (2 shared papers)Frances H. Arnold (2 shared papers)Ruijie K. Zhang (2 shared papers)Inha Cho (2 shared papers)Zhi‐Jun Jia (2 shared papers)Karl P. J. Gustafson (2 shared papers)Xiaodong Zou (2 shared papers)
In The Last Decade
Tamás Görbe
20 papers receiving 352 citations
Peers
Comparison fields: 5 of 45
- Organic Chemistry 201
- Inorganic Chemistry 78
- Molecular Biology 184
- Geometry and Topology 22
- Statistical and Nonlinear Physics 29
Countries citing papers authored by Tamás Görbe
This map shows the geographic impact of Tamás Görbe'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 Tamás Görbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Görbe more than expected).
Fields of papers citing papers by Tamás Görbe
This network shows the impact of papers produced by Tamás Görbe. 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 Tamás Görbe. The network helps show where Tamás Görbe may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamás Görbe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 110 | |
| 2 | 2017 | 60 | |
| 3 | 2019 | 35 | |
| 4 | 2010 | 28 | |
| 5 | 2019 | 22 | |
| 6 | 2019 | 22 | |
| 7 | 2017 | 14 | |
| 8 | 2014 | 12 | |
| 9 | 2015 | 8 | |
| 10 | Lax Representation of the Hyperbolic van Diejen Dynamics with Two Coupling Parameters | 2017 | 6 |
| 11 | 2021 | 6 | |
| 12 | 2018 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2017 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2022 | 1 |
About Tamás Görbe
Tamás Görbe is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Geometry and Topology, Organic Chemistry and Algebra and Number Theory, having authored 22 papers that have together received 353 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (10 papers), Algebraic structures and combinatorial models (8 papers), Advanced Topics in Algebra (5 papers), Enzyme Catalysis and Immobilization (4 papers), Mathematical functions and polynomials (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Chemical Synthesis and Analysis (2 papers) and Catalytic C–H Functionalization Methods (2 papers). The work is most often cited by research in Organic Chemistry (201 citations), Inorganic Chemistry (78 citations), Molecular Biology (184 citations), Geometry and Topology (22 citations) and Statistical and Nonlinear Physics (29 citations). Tamás Görbe has collaborated with scholars based in Sweden, Hungary and Chile. Frequent co-authors include Jan‐E. Bäckvall, Christopher K. Prier, Frances H. Arnold, Ruijie K. Zhang, Inha Cho, Zhi‐Jun Jia, Karl P. J. Gustafson, Xiaodong Zou, Haoquan Zheng and Eric V. Johnston. Their work appears in journals such as Steroids, ChemBioChem, Chemistry - A European Journal, Nuclear Physics B and Organic 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.