Robin Farias‐Eisner
- Molecular Biology top 5%
- Cancer Research top 2%
- Surgery top 5%
- Reproductive Medicine top 1%
- Oncology top 5%
- Co-authors
- Srinivasa T. ReddyFeng SuLing WangDilprit BaggaJohn A. GlaspyErnesto E. AeberhardM. AmneusKatherine R. Kozak
- Topics
- Ovarian cancer diagnosis and treatment (19 papers)Cancer, Lipids, and Metabolism (8 papers)Endometrial and Cervical Cancer Treatments (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesCanadaChina
In The Last Decade
Robin Farias‐Eisner
67 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.5k
- Cancer Research 878
- Surgery 798
- Reproductive Medicine 665
- Oncology 471
Countries citing papers authored by Robin Farias‐Eisner
This map shows the geographic impact of Robin Farias‐Eisner'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 Robin Farias‐Eisner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Farias‐Eisner more than expected).
Fields of papers citing papers by Robin Farias‐Eisner
This network shows the impact of papers produced by Robin Farias‐Eisner. 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 Robin Farias‐Eisner. The network helps show where Robin Farias‐Eisner may publish in the future.
Co-authorship network of co-authors of Robin Farias‐Eisner
This figure shows the co-authorship network connecting the top 25 collaborators of Robin Farias‐Eisner. A scholar is included among the top collaborators of Robin Farias‐Eisner 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 Robin Farias‐Eisner. Robin Farias‐Eisner 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 | 27 | |
| 3 | 126 | |
| 4 | 53 | |
| 5 | 73 | |
| 6 | 9 | |
| 7 | 58 | |
| 8 | 71 | |
| 9 | 57 | |
| 10 | 62 | |
| 11 | 50 | |
| 12 | 14 | |
| 13 | 231 | |
| 14 | 6 | |
| 15 | 81 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 29 | |
| 19 | 7 | |
| 20 | 5 |
About Robin Farias‐Eisner
Robin Farias‐Eisner is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Cancer Research, having authored 69 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (19 papers), Cancer, Lipids, and Metabolism (8 papers) and Endometrial and Cervical Cancer Treatments (7 papers). The work is most often cited by research in Reproductive Medicine (665 citations), Cancer Research (878 citations) and Biochemistry (394 citations). Robin Farias‐Eisner has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Srinivasa T. Reddy, Feng Su, Ling Wang, Dilprit Bagga, John A. Glaspy, Ernesto E. Aeberhard, M. Amneus, Katherine R. Kozak, Gautam Chaudhuri and Kym F. Faull. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.