Geeta N. Eick
- Molecular Biology
- Epidemiology top 5%
- Oncology top 5%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Mark KiddIrvin M. ModlinJoseph W. ThorntonDavid S. JacobsIgor LatichConrad A. MattheeMichelle N. ZikusokaJ. Josh Snodgrass
- Topics
- Neuroendocrine Tumor Research Advances (12 papers)Bat Biology and Ecology Studies (6 papers)Molecular Biology Techniques and Applications (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesAustraliaSouth Africa
In The Last Decade
Geeta N. Eick
62 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 681
- Epidemiology 622
- Oncology 540
- Genetics 423
- Ecology, Evolution, Behavior and Systematics 393
Countries citing papers authored by Geeta N. Eick
This map shows the geographic impact of Geeta N. Eick'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 Geeta N. Eick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geeta N. Eick more than expected).
Fields of papers citing papers by Geeta N. Eick
This network shows the impact of papers produced by Geeta N. Eick. 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 Geeta N. Eick. The network helps show where Geeta N. Eick may publish in the future.
Co-authorship network of co-authors of Geeta N. Eick
This figure shows the co-authorship network connecting the top 25 collaborators of Geeta N. Eick. A scholar is included among the top collaborators of Geeta N. Eick 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 Geeta N. Eick. Geeta N. Eick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 9 | |
| 8 | 47 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 8 | |
| 14 | 29 | |
| 15 | 97 | |
| 16 | 93 | |
| 17 | 57 | |
| 18 | 34 | |
| 19 | 24 | |
| 20 | 110 |
About Geeta N. Eick
Geeta N. Eick is a scholar working on Ecological Modeling, Paleontology and Geriatrics and Gerontology, having authored 66 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (12 papers), Bat Biology and Ecology Studies (6 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Ecological Modeling (139 citations), Paleontology (160 citations) and Gastroenterology (115 citations). Geeta N. Eick has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Mark Kidd, Irvin M. Modlin, Joseph W. Thornton, David S. Jacobs, Igor Latich, Conrad A. Matthee, Michelle N. Zikusoka, J. Josh Snodgrass, Michael J. Harms and Shrikant Mane. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.
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.