U. Kerb

554 citations
37 papers · 471 · h-index 13

Impact in

    • Insect Utilization and Effects
    • Insect and Pesticide Research
    • Estrogen and related hormone effects
    • Insect and Arachnid Ecology and Behavior

Papers in

U. Kerb

34 papers receiving 360 citations

Peers

U. Kerb
Comparison fields: 5 of 63
  • Insect Science 86
  • Genetics 166
  • Pharmacology 44
  • Toxicology 17
  • Cellular and Molecular Neuroscience 88
Replace Kenyu Shibata with:
Kenyu Shibata Japan
M. Vuillaume France
R. Kaschnitz Austria
Kuno Meyer Switzerland
P. J. S. Chiu United States
N. Wakabayashi United States
A. J. Lemin United States
Rosario Rodríguez-Arnáiz Mexico
John A. Steele United States
Gunhild E. Siboska Denmark
U. Kerb relative to Kenyu Shibata Japan Kenyu Shibata's profile →
Citations per field
00.5×
Kenyu Shibata · 1×
Citations per year

Countries citing papers authored by U. Kerb

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with U. Kerb Line = papers co-authored together U. Kerb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198670
2 198651
3 196739
4 196630
5 196626
6 198825
7 196624
8 196623
9 196817
10 198117
11 198813
12 196912
13 196512
14 196611
15 196310
16 196610
17 198110
18 19669
19 19809
20 19688

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 471 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), Fluorine in Organic Chemistry (4 papers), Herbal Medicine Research Studies (4 papers) and Insect and Pesticide Research (3 papers). The work is most often cited by research in Insect Science (86 citations), Genetics (166 citations), Pharmacology (44 citations), Toxicology (17 citations) and Cellular and Molecular Neuroscience (88 citations). U. Kerb has collaborated with scholars based in Switzerland, United States and Ireland. 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 Y. Nishino. Their work appears in journals such as Helvetica Chimica Acta, Tetrahedron Letters, Cellular and Molecular Life Sciences, Die Naturwissenschaften and Drug Metabolism and Disposition.

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.

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