Negin Forouzesh
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- Computational Drug Discovery Methods 9
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- Protein Structure and Dynamics 8
- DNA and Nucleic Acid Chemistry 1
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- SARS-CoV-2 and COVID-19 Research 2
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- thermodynamics and calorimetric analyses 2
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- Machine Learning in Materials Science 4
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- Spectroscopy and Quantum Chemical Studies 1
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- Chemical Thermodynamics and Molecular Structure 1
Negin Forouzesh
11 papers receiving 132 citations
Peers
Comparison fields: 5 of 52
- Computational Theory and Mathematics 58
- Toxicology 4
- Molecular Biology 79
- Infectious Diseases 20
- Physical and Theoretical Chemistry 9
Countries citing papers authored by Negin Forouzesh
This map shows the geographic impact of Negin Forouzesh'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 Negin Forouzesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Negin Forouzesh more than expected).
Fields of papers citing papers by Negin Forouzesh
This network shows the impact of papers produced by Negin Forouzesh. 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 Negin Forouzesh. The network helps show where Negin Forouzesh may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Negin Forouzesh, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 79 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 3 | |
| 12 | 2017 | 23 |
About Negin Forouzesh
Negin Forouzesh is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Fluid Flow and Transfer Processes, having authored 12 papers that have together received 132 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (8 papers), Machine Learning in Materials Science (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), thermodynamics and calorimetric analyses (2 papers), Spectroscopy and Quantum Chemical Studies (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Chemical Thermodynamics and Molecular Structure (1 paper). The work is most often cited by research in Computational Theory and Mathematics (58 citations), Toxicology (4 citations) and Molecular Biology (79 citations). Negin Forouzesh has collaborated with scholars based in United States and Iran. Frequent co-authors include Alexey V. Onufriev, Saeed Izadi, Ali Risheh, Layne T. Watson, Abhishek Mukhopadhyay, Lewis M. Bass, Igor S. Tolokh, Anuj Karpatne, Liza Thomas and Paul S. Nerenberg. Their work appears in journals such as Biophysical Journal, Molecules and Journal of Chemical Theory and Computation.
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.