Walter G. Wiest
- Public Health, Environmental and Occupational Health top 2%
- Reproductive Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 2%
- Immunology top 5%
- Co-authors
- A.I. CsapoM.O. PulkkinenJacques P. SauvageWilliam R. KidwellKároly BaloghB. Ramanath RaoWillard M. AllenCharles Heidelberger
- Topics
- Estrogen and related hormone effects (25 papers)Reproductive System and Pregnancy (15 papers)Ovarian function and disorders (14 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistryThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesFinlandCanada
In The Last Decade
Walter G. Wiest
77 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 110
- Public Health, Environmental and Occupational Health 811
- Reproductive Medicine 779
- Endocrinology, Diabetes and Metabolism 758
- Genetics 740
- Immunology 655
Countries citing papers authored by Walter G. Wiest
This map shows the geographic impact of Walter G. Wiest'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 Walter G. Wiest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter G. Wiest more than expected).
Fields of papers citing papers by Walter G. Wiest
This network shows the impact of papers produced by Walter G. Wiest. 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 Walter G. Wiest. The network helps show where Walter G. Wiest may publish in the future.
Co-authorship network of co-authors of Walter G. Wiest
This figure shows the co-authorship network connecting the top 25 collaborators of Walter G. Wiest. A scholar is included among the top collaborators of Walter G. Wiest 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 Walter G. Wiest. Walter G. Wiest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 19 | |
| 6 | 6 | |
| 7 | 107 | |
| 8 | 184 | |
| 9 | 24 | |
| 10 | 18 | |
| 11 | 27 | |
| 12 | 30 | |
| 13 | 19 | |
| 14 | 13 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | 14 | |
| 18 | 23 | |
| 19 | 13 | |
| 20 | The metabolic degradation in the mouse of 1,2,5,6-dibenzanthracene-9,10-C14. II. 5-Hydroxy-1,2-naphthalic acid, a new metabolite. | 9 |
About Walter G. Wiest
Walter G. Wiest is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Agronomy and Crop Science, having authored 77 papers that have together received 3.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (25 papers), Reproductive System and Pregnancy (15 papers) and Ovarian function and disorders (14 papers). The work is most often cited by research in Reproductive Medicine (779 citations), Endocrinology, Diabetes and Metabolism (758 citations) and Agronomy and Crop Science (440 citations). Walter G. Wiest has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include A.I. Csapo, M.O. Pulkkinen, Jacques P. Sauvage, William R. Kidwell, Károly Balogh, B. Ramanath Rao, Willard M. Allen, Charles Heidelberger, Inoru HASHIMOTO and Theodore J. Cicero. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry 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.