Eva Tsalikian
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Genetics top 2%
- Physiology top 5%
- Molecular Biology
- Co-authors
- John E. GerichMara LorenziPeter H. ForshamJohn H. KaramAnn Marie McCarthyRoy W. BeckVictor SchneiderDennis M. Bier
- Topics
- Diabetes Management and Research (39 papers)Pancreatic function and diabetes (38 papers)Diabetes and associated disorders (24 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Investigation
- Partner nations
- United StatesCzechiaItaly
In The Last Decade
Eva Tsalikian
82 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 123
- Endocrinology, Diabetes and Metabolism 2.2k
- Surgery 1.4k
- Genetics 1.0k
- Physiology 628
- Molecular Biology 463
Countries citing papers authored by Eva Tsalikian
This map shows the geographic impact of Eva Tsalikian'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 Tsalikian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Tsalikian more than expected).
Fields of papers citing papers by Eva Tsalikian
This network shows the impact of papers produced by Eva Tsalikian. 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 Tsalikian. The network helps show where Eva Tsalikian may publish in the future.
Co-authorship network of co-authors of Eva Tsalikian
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Tsalikian. A scholar is included among the top collaborators of Eva Tsalikian 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 Tsalikian. Eva Tsalikian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 15 | |
| 4 | 23 | |
| 5 | 56 | |
| 6 | 170 | |
| 7 | 17 | |
| 8 | 48 | |
| 9 | 17 | |
| 10 | 85 | |
| 11 | 12 | |
| 12 | 44 | |
| 13 | 151 | |
| 14 | 165 | |
| 15 | 8 | |
| 16 | 45 | |
| 17 | 3 | |
| 18 | 23 | |
| 19 | 18 | |
| 20 | 31 |
About Eva Tsalikian
Eva Tsalikian is a scholar working on Endocrinology, Diabetes and Metabolism, Computational Mathematics and Genetics, having authored 83 papers that have together received 3.5k indexed citations. Recurring topics across this work include Diabetes Management and Research (39 papers), Pancreatic function and diabetes (38 papers) and Diabetes and associated disorders (24 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.2k citations), Genetics (1.0k citations) and Surgery (1.4k citations). Eva Tsalikian has collaborated with scholars based in United States, Czechia and Italy. Frequent co-authors include John E. Gerich, Mara Lorenzi, Peter H. Forsham, John H. Karam, Ann Marie McCarthy, Roy W. Beck, Victor Schneider, Dennis M. Bier, William V. Tamborlane and Stuart A. Weinzimer. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.