Benita S. Katzenellenbogen
- Genetics top 0.01%
- Molecular Biology top 0.1%
- Oncology top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.1%
- Immunology top 0.5%
- Co-authors
- John A. KatzenellenbogenW. Lee KrausKathryn E. CarlsonJun SunMonica M. MontanoYolande BerthoisJonna FrasorSusan M. Aronica
- Topics
- Estrogen and related hormone effects (276 papers)Cytokine Signaling Pathways and Interactions (36 papers)Reproductive System and Pregnancy (36 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesFranceItaly
In The Last Decade
Benita S. Katzenellenbogen
356 papers receiving 31.6k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Genetics 20.3k
- Molecular Biology 14.8k
- Oncology 6.5k
- Endocrinology, Diabetes and Metabolism 4.4k
- Immunology 3.1k
Countries citing papers authored by Benita S. Katzenellenbogen
This map shows the geographic impact of Benita S. Katzenellenbogen'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 Benita S. Katzenellenbogen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benita S. Katzenellenbogen more than expected).
Fields of papers citing papers by Benita S. Katzenellenbogen
This network shows the impact of papers produced by Benita S. Katzenellenbogen. 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 Benita S. Katzenellenbogen. The network helps show where Benita S. Katzenellenbogen may publish in the future.
Co-authorship network of co-authors of Benita S. Katzenellenbogen
This figure shows the co-authorship network connecting the top 25 collaborators of Benita S. Katzenellenbogen. A scholar is included among the top collaborators of Benita S. Katzenellenbogen 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 Benita S. Katzenellenbogen. Benita S. Katzenellenbogen 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 | 1 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 15 | |
| 6 | 10 | |
| 7 | 44 | |
| 8 | 53 | |
| 9 | 215 | |
| 10 | 60 | |
| 11 | 20 | |
| 12 | 31 | |
| 13 | 164 | |
| 14 | 137 | |
| 15 | 140 | |
| 16 | 72 | |
| 17 | 113 | |
| 18 | 211 | |
| 19 | 13 | |
| 20 | Hormonal modulation of HER-2/neu protooncogene messenger ribonucleic acid and p185 protein expression in human breast cancer cell lines. | 143 |
About Benita S. Katzenellenbogen
Benita S. Katzenellenbogen is a scholar working on Genetics, Toxicology and Molecular Biology, having authored 359 papers that have together received 32.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (276 papers), Cytokine Signaling Pathways and Interactions (36 papers) and Reproductive System and Pregnancy (36 papers). The work is most often cited by research in Genetics (20.3k citations), Toxicology (1.4k citations) and Reproductive Medicine (2.8k citations). Benita S. Katzenellenbogen has collaborated with scholars based in United States, France and Italy. Frequent co-authors include John A. Katzenellenbogen, W. Lee Kraus, Kathryn E. Carlson, Jun Sun, Monica M. Montano, Yolande Berthois, Jonna Frasor, Susan M. Aronica, Barry S. Komm and Richard L. Eckert. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.