U. Behrens

1.3k citations
67 papers · 1.0k · h-index 18

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 13
    • Microbial Metabolic Engineering and Bioproduction 13
    • Enzyme function and inhibition 6

U. Behrens

60 papers receiving 876 citations

Peers

U. Behrens
Comparison fields: 5 of 99
  • Pathology and Forensic Medicine 372
  • Biochemistry 104
  • Hepatology 82
  • Epidemiology 269
  • Molecular Biology 481
Replace T. F. McElligott with:
T. F. McElligott Canada
Kenshi Watanabe Japan
Valérie Kugler France
Suman Dasgupta India
Jingyi Chen China
Shuzo Otani Japan
Ruth Schwartz United States
Junji Kuroda Japan
Aura Colaço Portugal
Bergmeyer Hu
U. Behrens relative to T. F. McElligott Canada T. F. McElligott's profile →
Citations per field
00.5×4.2×
T. F. McElligott · 1×
Citations per year

Countries citing papers authored by U. Behrens

Since Specialization
Citations

This map shows the geographic impact of U. Behrens'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. Behrens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Behrens more than expected).

Fields of papers citing papers by U. Behrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. Behrens. 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. Behrens. The network helps show where U. Behrens may publish in the future.

Co-authors

The 25 scholars most cited alongside U. Behrens, 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. Behrens Line = papers co-authored together U. Behrens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988125
2 1988109
3 198897
4 197173
5 198871
6 197949
7 199337
8 197931
9 198226
10 197826
11 198225
12 197824
13 197422
14 198721
15 197920
16 199019
17 199818
18 197718
19 199814
20
Cell membrane sialoglycopeptides of corticoid-sensitive and -resistant lymphosarcoma P1798.
197612

About U. Behrens

U. Behrens is a scholar working on Molecular Biology, Biochemistry, Biotechnology, Plant Science and Epidemiology, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (13 papers), Microbial Metabolic Engineering and Bioproduction (13 papers), Enzyme function and inhibition (6 papers), Polysaccharides Composition and Applications (5 papers), biodegradable polymer synthesis and properties (5 papers), Polysaccharides and Plant Cell Walls (5 papers), Enzyme Production and Characterization (5 papers) and Alcohol Consumption and Health Effects (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (372 citations), Biochemistry (104 citations), Hepatology (82 citations), Epidemiology (269 citations) and Molecular Biology (481 citations). U. Behrens has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Theresa M. Worner, Fenton Schaffner, Charles S. Lieber, Fiorenzo Paronetto, S. Aaronson, C S Lieber, C S Lieber, U. Stottmeister, Thomas H. Haines and Wolf D. Lehmann. Their work appears in journals such as Journal of Basic Microbiology, Biochemical and Biophysical Research Communications, Gastroenterology, Alcoholism Clinical and Experimental Research and Anesthesia & Analgesia.

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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