Robert P. Tonge

489 citations
9 papers · 419 · h-index 7

Impact in

    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
  • Hepatology top 10%
    • Liver physiology and pathology
    • Liver Disease and Transplantation

Papers in

    • Drug-Induced Hepatotoxicity and Protection 4
    • Pharmacogenetics and Drug Metabolism 1
    • Cell Image Analysis Techniques 3

Robert P. Tonge

9 papers receiving 396 citations

Peers

Robert P. Tonge
Comparison fields: 5 of 75
  • Pharmacology 177
  • Hepatology 72
  • Biophysics 38
  • Spectroscopy 86
  • Oncology 66
Replace Frederic Moulin with:
Frederic Moulin United States
Daniel Y. Hung Australia
Franziska Paech Switzerland
Tadahaya Mizuno Japan
Chitra Kanchagar United States
Bryan D. Marks United States
Joanna I. Clarke United Kingdom
Aaron M. Fullerton United States
J. Fred Pritchard United States
Kaori Nakamoto United States
Robert P. Tonge relative to Frederic Moulin United States Frederic Moulin's profile →
Citations per field
00.5×2×4×5.4×
Frederic Moulin · 1×
Citations per year

Countries citing papers authored by Robert P. Tonge

Since Specialization
Citations

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

Fields of papers citing papers by Robert P. Tonge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert P. Tonge. 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 Robert P. Tonge. The network helps show where Robert P. Tonge may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 200189
2 199887
3 200784
4 200251
5 200345
6 200340
7 200620
8 20032
9 20011

About Robert P. Tonge

Robert P. Tonge is a scholar working on Pharmacology, Biophysics, Hepatology, Molecular Biology and Cell Biology, having authored 9 papers that have together received 419 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (4 papers), Cell Image Analysis Techniques (3 papers), Gene expression and cancer classification (3 papers), Liver physiology and pathology (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Pancreatic function and diabetes (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Pharmacology (177 citations), Hepatology (72 citations), Biophysics (38 citations), Spectroscopy (86 citations) and Oncology (66 citations). Robert P. Tonge has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Sam A. Bruschi, Mike Rogers, Jim Graham, Nelson Fausto, Robert Hamilton Pierce, Sidney D. Nelson, David L. Eaton, T F Kalhorn, Sidney D. Nelson and Edward J. Kelly. Their work appears in journals such as PROTEOMICS, Molecular Pharmacology, Toxicology and Applied Pharmacology, Biochemical Pharmacology and Clinical Cancer Research.

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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