Geeta N. Eick
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Paleontology top 5%
- Evolution and Paleontology Studies
Papers in
-
- Molecular Biology Techniques and Applications 4
- RNA Research and Splicing 3
- Epidemiology 10
- Neuroendocrine Tumor Research Advances 8
- Co-authors
- Irvin M. Modlin (17 shared papers)Mark Kidd (18 shared papers)Joseph W. Thornton (6 shared papers)David S. Jacobs (5 shared papers)Conrad A. Matthee (3 shared papers)Igor Latich (6 shared papers)J. Josh Snodgrass (22 shared papers)Michelle N. Zikusoka (5 shared papers)
- Journals
- American Journal of Human Biology (16 papers)Proceedings of the National Academy of Sciences (4 papers)Cancer (4 papers)Physiological Genomics (2 papers)Journal of Mammalogy (2 papers)
- Partner nations
- United StatesSouth AfricaAustralia
In The Last Decade
Geeta N. Eick
64 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 138
- Ecological Modeling 133
- Paleontology 155
- Ecology, Evolution, Behavior and Systematics 390
- Developmental Biology 42
- Epidemiology 542
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-authors
The 25 scholars most cited alongside Geeta N. Eick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 192 | |
| 2 | 2010 | 165 | |
| 3 | 2018 | 134 | |
| 4 | 2010 | 125 | |
| 5 | 2016 | 117 | |
| 6 | 2006 | 115 | |
| 7 | 2005 | 110 | |
| 8 | 2012 | 97 | |
| 9 | 2006 | 94 | |
| 10 | 2006 | 86 | |
| 11 | 2016 | 76 | |
| 12 | 2006 | 72 | |
| 13 | 2007 | 68 | |
| 14 | 2004 | 65 | |
| 15 | 2005 | 62 | |
| 16 | 2014 | 59 | |
| 17 | 2006 | 57 | |
| 18 | 2013 | 53 | |
| 19 | 2006 | 49 | |
| 20 | 2021 | 48 |
About Geeta N. Eick
Geeta N. Eick is a scholar working on Molecular Biology, Epidemiology, Genetics, Ecology, Evolution, Behavior and Systematics and Oncology, having authored 66 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (8 papers), Bat Biology and Ecology Studies (6 papers), Neuroblastoma Research and Treatments (5 papers), Evolution and Paleontology Studies (4 papers), Molecular Biology Techniques and Applications (4 papers), RNA Research and Splicing (3 papers), Lung Cancer Research Studies (3 papers) and Species Distribution and Climate Change (3 papers). The work is most often cited by research in Ecological Modeling (133 citations), Paleontology (155 citations), Ecology, Evolution, Behavior and Systematics (390 citations), Developmental Biology (42 citations) and Epidemiology (542 citations). Geeta N. Eick has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Irvin M. Modlin, Mark Kidd, Joseph W. Thornton, David S. Jacobs, Conrad A. Matthee, Igor Latich, J. Josh Snodgrass, Michelle N. Zikusoka, Michael J. Harms and Shrikant Mane. Their work appears in journals such as American Journal of Human Biology, Proceedings of the National Academy of Sciences, Cancer, Physiological Genomics and Journal of Mammalogy.
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.