U. Kerb
Impact in
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- Estrogen and related hormone effects
- Insect and Arachnid Ecology and Behavior
- Insect Science top 10%
- Insect Utilization and Effects
Papers in
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- Steroid Chemistry and Biochemistry 17
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- Organic Chemistry Cycloaddition Reactions 4
- Co-authors
- Rudolf Wiechert (28 shared papers)David Henderson (3 shared papers)A. Fürst (11 shared papers)A. Furlenmeier (10 shared papers)P. Hocks (8 shared papers)A. Langemann (7 shared papers)René Lafont (2 shared papers)Jean‐Pierre Girault (2 shared papers)
- Journals
- Helvetica Chimica Acta (5 papers)Tetrahedron Letters (4 papers)Die Naturwissenschaften (2 papers)Cellular and Molecular Life Sciences (2 papers)Tetrahedron (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
U. Kerb
34 papers receiving 308 citations
Peers
Comparison fields: 5 of 58
- Genetics 141
- Insect Science 61
- Toxicology 17
- Cellular and Molecular Neuroscience 74
- Endocrinology, Diabetes and Metabolism 64
Countries citing papers authored by U. Kerb
This map shows the geographic impact of U. Kerb'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 U. Kerb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Kerb more than expected).
Fields of papers citing papers by U. Kerb
This network shows the impact of papers produced by U. Kerb. 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 U. Kerb. The network helps show where U. Kerb may publish in the future.
Co-authors
The 25 scholars most cited alongside U. Kerb, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 60 | |
| 2 | 1986 | 45 | |
| 3 | 1967 | 34 | |
| 4 | 1966 | 25 | |
| 5 | 1988 | 23 | |
| 6 | 1966 | 23 | |
| 7 | 1966 | 16 | |
| 8 | 1981 | 16 | |
| 9 | 1966 | 15 | |
| 10 | 1988 | 12 | |
| 11 | 1968 | 11 | |
| 12 | 1965 | 11 | |
| 13 | 1966 | 10 | |
| 14 | 1963 | 9 | |
| 15 | 1981 | 9 | |
| 16 | 1969 | 8 | |
| 17 | 1980 | 7 | |
| 18 | 1966 | 7 | |
| 19 | 1966 | 6 | |
| 20 | 1980 | 5 |
About U. Kerb
U. Kerb is a scholar working on Molecular Biology, Organic Chemistry, Genetics, Pharmaceutical Science and Pharmacology, having authored 37 papers that have together received 395 indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (17 papers), Estrogen and related hormone effects (9 papers), Pharmacogenetics and Drug Metabolism (5 papers), Organic Chemistry Cycloaddition Reactions (4 papers), Medicinal plant effects and applications (4 papers), Herbal Medicine Research Studies (4 papers), Fluorine in Organic Chemistry (4 papers) and Healthcare and Venom Research (3 papers). The work is most often cited by research in Genetics (141 citations), Insect Science (61 citations), Toxicology (17 citations), Cellular and Molecular Neuroscience (74 citations) and Endocrinology, Diabetes and Metabolism (64 citations). U. Kerb has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Rudolf Wiechert, David Henderson, A. Fürst, A. Furlenmeier, P. Hocks, A. Langemann, René Lafont, Jean‐Pierre Girault, M.F. El Etreby and U.‐F. Habenicht. Their work appears in journals such as Helvetica Chimica Acta, Tetrahedron Letters, Die Naturwissenschaften, Cellular and Molecular Life Sciences and Tetrahedron.
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.