Emre Sevgen
Impact in
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- Liquid Crystal Research Advancements
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- Machine Learning in Materials Science
- Material Dynamics and Properties
Papers in
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- Protein Structure and Dynamics 5
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- Machine Learning in Materials Science 3
- Enzyme Structure and Function 1
- Co-authors
- Juan Pablo (7 shared papers)Jonathan K. Whitmer (3 shared papers)Hythem Sidky (3 shared papers)Jeffrey A. Hubbell (3 shared papers)Federico Giberti (2 shared papers)François Gygi (2 shared papers)Giulia Galli (2 shared papers)Cunzhi Zhang (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (2 papers)Nature Communications (1 paper)The Journal of Chemical Physics (1 paper)Macromolecules (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Emre Sevgen
10 papers receiving 179 citations
Peers
Comparison fields: 5 of 53
- Electronic, Optical and Magnetic Materials 46
- Materials Chemistry 87
- Catalysis 11
- Atomic and Molecular Physics, and Optics 46
- Physical and Theoretical Chemistry 13
Countries citing papers authored by Emre Sevgen
This map shows the geographic impact of Emre Sevgen'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 Emre Sevgen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emre Sevgen more than expected).
Fields of papers citing papers by Emre Sevgen
This network shows the impact of papers produced by Emre Sevgen. 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 Emre Sevgen. The network helps show where Emre Sevgen may publish in the future.
Co-authors
The 25 scholars most cited alongside Emre Sevgen, 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 | 56 | |
| 2 | 2018 | 39 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2018 | 10 | |
| 7 | 2025 | 4 | |
| 8 | 2021 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2018 | 1 |
About Emre Sevgen
Emre Sevgen is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Atomic and Molecular Physics, and Optics and Biomaterials, having authored 10 papers that have together received 181 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Surfactants and Colloidal Systems (3 papers), Machine Learning in Materials Science (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Advanced Polymer Synthesis and Characterization (2 papers), biodegradable polymer synthesis and properties (2 papers), NMR spectroscopy and applications (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (46 citations), Materials Chemistry (87 citations), Catalysis (11 citations), Atomic and Molecular Physics, and Optics (46 citations) and Physical and Theoretical Chemistry (13 citations). Emre Sevgen has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Juan Pablo, Jonathan K. Whitmer, Hythem Sidky, Jeffrey A. Hubbell, Federico Giberti, François Gygi, Giulia Galli, Cunzhi Zhang, Nicholas L. Abbott and Zhu Liang. Their work appears in journals such as Journal of Chemical Theory and Computation, Nature Communications, The Journal of Chemical Physics, Macromolecules and Journal of the American Chemical Society.
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.