W. Wiest
Impact in
- Urology top 5%
- Hair Growth and Disorders
- Cell Biology top 10%
- Skin and Cellular Biology Research
Papers in
- Oncology 9
- Cancer Treatment and Pharmacology 7
- HER2/EGFR in Cancer Research 3
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- Advanced Breast Cancer Therapies 4
- Co-authors
- Ingrid Moll (1 shared paper)Roland Moll (1 shared paper)R. Ruffmann (3 shared papers)H. Weidinger (2 shared papers)Enrico Colli (1 shared paper)Serban Dan Costa (1 shared paper)Wolfgang Bauer (2 shared papers)Marc Sütterlin (2 shared papers)
In The Last Decade
W. Wiest
20 papers receiving 284 citations
Peers
Comparison fields: 5 of 54
- Urology 73
- Cell Biology 182
- Dermatology 57
- Microbiology 17
- Oncology 45
Countries citing papers authored by W. Wiest
This map shows the geographic impact of W. 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 W. Wiest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Wiest more than expected).
Fields of papers citing papers by W. Wiest
This network shows the impact of papers produced by W. 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 W. Wiest. The network helps show where W. Wiest may publish in the future.
Co-authors
The 25 scholars most cited alongside W. Wiest, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 214 | |
| 2 | 2010 | 30 | |
| 3 | 1974 | 13 | |
| 4 | 1987 | 10 | |
| 5 | 1989 | 10 | |
| 6 | 1980 | 5 | |
| 7 | 2009 | 4 | |
| 8 | 2012 | 3 | |
| 9 | 1985 | 2 | |
| 10 | 2011 | 2 | |
| 11 | 2010 | 2 | |
| 12 | 1995 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 1984 | 1 | |
| 15 | [Plasma cortisol during tocolysis with partusisten and isoptin]. | 1979 | 1 |
| 16 | [Changes in blood coagulation during tocolysis]. | 1979 | 1 |
| 17 | [Serum ribonuclease activity in patients with gynaecologic malignomas (author's transl)]. | 1979 | 1 |
| 18 | [Partusisten and isoptin influence on maternal ECG and heart-specific serum enzymes]. | 1979 | 1 |
| 19 | [Serum ribonuclease activity in gynecologic neoplasms. The behavior of serum ribonuclease in ovarian cancer under cytostatic therapy]. | 1980 | 1 |
| 20 | Serum ribonuclease activity in patients with ovarian tumors. | 1986 | 1 |
About W. Wiest
W. Wiest is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Reproductive Medicine, Cancer Research and Molecular Biology, having authored 22 papers that have together received 306 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (7 papers), Advanced Breast Cancer Therapies (4 papers), HER2/EGFR in Cancer Research (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Breast Cancer Treatment Studies (2 papers), Gestational Diabetes Research and Management (1 paper), Endometriosis Research and Treatment (1 paper) and Insect Utilization and Effects (1 paper). The work is most often cited by research in Urology (73 citations), Cell Biology (182 citations), Dermatology (57 citations), Microbiology (17 citations) and Oncology (45 citations). W. Wiest has collaborated with scholars based in Germany, Italy and Russia. Frequent co-authors include Ingrid Moll, Roland Moll, R. Ruffmann, H. Weidinger, Enrico Colli, Serban Dan Costa, Wolfgang Bauer, Marc Sütterlin, Volker Hagen and Nicolaì Maass. Their work appears in journals such as European Journal of Cancer, Journal of Perinatal Medicine, Drugs, Breast Care and Differentiation.
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.