Peter End

22 papers receiving 2.0k citations

Peter End's Hit Papers

Drug-induced liver injury: recent advances in diagnosis and risk assessment 2017 · 391 citations
3910+3+6Years since publication100200300

Peers

Peter End
Comparison fields: 5 of 115
  • Immunology and Allergy 262
  • Pharmacology 322
  • Nephrology 189
  • Cell Biology 264
  • Hepatology 95
Replace Sebastiano Calandra with:
Sebastiano Calandra Italy
Patrick L. Coleman United States
Srinivasan Chandrasekhar United States
James G. Conway United States
Michael A. Shia United States
Martin Highley United Kingdom
Takeo Kosaka Japan
Paul P. Tamburini United States
Rong Shao China
Ting Gui China
Peter End relative to Sebastiano Calandra Italy Sebastiano Calandra's profile →
Citations per field
00.5×2×3×4×4.7×
Sebastiano Calandra · 1×
Citations per year

Countries citing papers authored by Peter End

Since Specialization
Citations

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

Fields of papers citing papers by Peter End

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Drug-induced liver injury: recent advances in diagnosis and risk assessment
Hit paper breakdown →
2017391
2 1989318
3 2010295
4 1992182
5 2013145
6 1993139
7 2007109
8 199284
9 202184
10 202171
11 199348
12 199331
13 199328
14 202027
15 201719
16 201518
17 199318
18 199115
19 202110
20 20229

About Peter End

Peter End is a scholar working on Cell Biology, Pharmacology, Hematology, Immunology and Allergy and Immunology, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cell Adhesion Molecules Research (3 papers), Cellular transport and secretion (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Complement system in diseases (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Immunology and Allergy (262 citations), Pharmacology (322 citations), Nephrology (189 citations), Cell Biology (264 citations) and Hepatology (95 citations). Peter End has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include George Panayotou, Monique Aumailley, Rupert Timpl, Jürgen ENGEL, Michael Derek Waterfield, Andreas Benesic, Raúl Jesús Andrade Bellido, Guruprasad Padur Aithal, Michael K. Merz and Gerd Achim Kullak-Ublick. Their work appears in journals such as Molecular and Cellular Biology, Clinical and Translational Science, Drug Metabolism and Disposition, Chemical Research in Toxicology and European Journal of Pharmaceutical Sciences.

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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