Andreas Gescher

1.4k citations
57 papers · 1.2k · h-index 24

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Carcinogens and Genotoxicity Assessment

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Pharmacogenetics and Drug Metabolism 16
    • Drug-Induced Hepatotoxicity and Protection 7

Andreas Gescher

56 papers receiving 1.1k citations

Peers

Andreas Gescher
Comparison fields: 5 of 103
  • Pharmacology 207
  • Cancer Research 180
  • Biochemistry 94
  • Pharmaceutical Science 66
  • Oncology 220
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E H Ulm United States
Malcolm V. Gee United States
Makiko Sugiura Japan
Bruce D. Roth United States
I.H. Hall United States
Marinella Roberti Italy
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Hisao Nemoto Japan
H. T. Huang United States
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Citations per year

Countries citing papers authored by Andreas Gescher

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Gescher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199395
2 199182
3 199965
4 199058
5 199354
6 198044
7 197744
8 198542
9 201238
10 199238
11 198535
12 198334
13 198632
14 199631
15
Oxidative stress in humans following the Pringle manoeuvre.
200628
16 198427
17 198127
18 198526
19 197826
20 198326

About Andreas Gescher

Andreas Gescher is a scholar working on Molecular Biology, Pharmacology, Oncology, Organic Chemistry and Cancer Research, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Drug Transport and Resistance Mechanisms (10 papers), Carcinogens and Genotoxicity Assessment (9 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Chemical Reaction Mechanisms (7 papers), Synthesis and Characterization of Heterocyclic Compounds (5 papers), Chemical Reactions and Isotopes (5 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Pharmacology (207 citations), Cancer Research (180 citations), Biochemistry (94 citations), Pharmaceutical Science (66 citations) and Oncology (220 citations). Andreas Gescher has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Malcolm F. G. Stevens, Michael D. Threadgill, John A. Hickman, J A Slack, David Ross, Peter B. Farmer, Jaroslav Mráz, Keith Vaughan, James Kevin Chipman and Angela Harper. Their work appears in journals such as Biochemical Pharmacology, Cancer Chemotherapy and Pharmacology, Chemical Research in Toxicology, Toxicological Sciences and Journal of the Chemical Society Perkin Transactions 1.

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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