Karen E. Weis
Impact in
- Genetics top 5%
- Estrogen and related hormone effects
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
Papers in
- Genetics 10
- Estrogen and related hormone effects 8
- Animal Genetics and Reproduction 2
- Co-authors
- Benita S. Katzenellenbogen (6 shared papers)Jun Sun (2 shared papers)John A. Katzenellenbogen (3 shared papers)W. Lee Kraus (2 shared papers)Eileen M. McInerney (1 shared paper)Sietse Mosselman (1 shared paper)Kirk Ekena (2 shared papers)Inho Choi (1 shared paper)
- Journals
- Endocrinology (3 papers)Reproductive Toxicology (3 papers)Journal of Biological Chemistry (2 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)Marine Biotechnology (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Karen E. Weis
18 papers receiving 897 citations
Peers
Comparison fields: 5 of 79
- Genetics 638
- Toxicology 59
- Reproductive Medicine 91
- Health, Toxicology and Mutagenesis 131
- Endocrinology, Diabetes and Metabolism 110
Countries citing papers authored by Karen E. Weis
This map shows the geographic impact of Karen E. Weis'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 Karen E. Weis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen E. Weis more than expected).
Fields of papers citing papers by Karen E. Weis
This network shows the impact of papers produced by Karen E. Weis. 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 Karen E. Weis. The network helps show where Karen E. Weis may publish in the future.
Co-authors
The 25 scholars most cited alongside Karen E. Weis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 233 | |
| 2 | 1998 | 230 | |
| 3 | 1995 | 162 | |
| 4 | 1996 | 98 | |
| 5 | 1997 | 64 | |
| 6 | 1997 | 31 | |
| 7 | 2016 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2016 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 |
About Karen E. Weis
Karen E. Weis is a scholar working on Genetics, Molecular Biology, Health, Toxicology and Mutagenesis, Endocrinology, Diabetes and Metabolism and Immunology, having authored 19 papers that have together received 915 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Reproductive System and Pregnancy (3 papers), Toxic Organic Pollutants Impact (3 papers), Animal Genetics and Reproduction (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Chemical Analysis and Environmental Impact (2 papers). The work is most often cited by research in Genetics (638 citations), Toxicology (59 citations), Reproductive Medicine (91 citations), Health, Toxicology and Mutagenesis (131 citations) and Endocrinology, Diabetes and Metabolism (110 citations). Karen E. Weis has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Benita S. Katzenellenbogen, Jun Sun, John A. Katzenellenbogen, W. Lee Kraus, Eileen M. McInerney, Sietse Mosselman, Kirk Ekena, Inho Choi, Tracy Ediger and Paolo Martini. Their work appears in journals such as Endocrinology, Reproductive Toxicology, Journal of Biological Chemistry, The Journal of Steroid Biochemistry and Molecular Biology and Marine Biotechnology.
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.