Eva S. Istvan
- Molecular Biology top 10%
- Surgery top 5%
- Public Health, Environmental and Occupational Health top 2%
- Computational Theory and Mathematics top 1%
- Cancer Research top 5%
- Co-authors
- J. DeisenhoferDaniel E. GoldbergIlya Y. GluzmanSusan K. BuchananMaya PalnitkarJulia Christina GrossJun LiuElizabeth A. Winzeler
- Topics
- Malaria Research and Control (14 papers)Computational Drug Discovery Methods (6 papers)Drug Transport and Resistance Mechanisms (5 papers)
- Cited by
- Computational Theory and MathematicsCancer ResearchPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Eva S. Istvan
24 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.3k
- Surgery 740
- Public Health, Environmental and Occupational Health 665
- Computational Theory and Mathematics 558
- Cancer Research 363
Countries citing papers authored by Eva S. Istvan
This map shows the geographic impact of Eva S. Istvan'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 Eva S. Istvan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva S. Istvan more than expected).
Fields of papers citing papers by Eva S. Istvan
This network shows the impact of papers produced by Eva S. Istvan. 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 Eva S. Istvan. The network helps show where Eva S. Istvan may publish in the future.
Co-authorship network of co-authors of Eva S. Istvan
This figure shows the co-authorship network connecting the top 25 collaborators of Eva S. Istvan. A scholar is included among the top collaborators of Eva S. Istvan 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 Eva S. Istvan. Eva S. Istvan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 19 | |
| 5 | 57 | |
| 6 | 49 | |
| 7 | 54 | |
| 8 | 7 | |
| 9 | 35 | |
| 10 | 93 | |
| 11 | Safety and efficacy of nateglinide/metformin combination therapy in the treatment of type 2 diabetes | 2 |
| 12 | 257 | |
| 13 | 10 | |
| 14 | 110 | |
| 15 | 156 | |
| 16 | 110 | |
| 17 | 43 | |
| 18 | 110 | |
| 19 | 99 | |
| 20 | 5 |
About Eva S. Istvan
Eva S. Istvan is a scholar working on Public Health, Environmental and Occupational Health, Virology and Computational Theory and Mathematics, having authored 24 papers that have together received 2.9k indexed citations. Recurring topics across this work include Malaria Research and Control (14 papers), Computational Drug Discovery Methods (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Computational Theory and Mathematics (558 citations), Cancer Research (363 citations) and Public Health, Environmental and Occupational Health (665 citations). Eva S. Istvan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include J. Deisenhofer, Daniel E. Goldberg, Ilya Y. Gluzman, Susan K. Buchanan, Maya Palnitkar, Julia Christina Gross, Jun Liu, Elizabeth A. Winzeler, Kosaku Uyeda and Charles A. Hasemann. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.