Benny Amore

33 papers receiving 890 citations

Peers

Benny Amore
Comparison fields: 5 of 83
  • Hepatology 94
  • Pharmacology 97
  • Oncology 248
  • Immunology 180
  • Computational Theory and Mathematics 92
Replace José W.A. van der Hoorn with:
José W.A. van der Hoorn Netherlands
M Hroch Czechia
Clay T. Cramer United States
T J van Berkel Netherlands
Serena Marchetti Netherlands
Ana Ruiz-Garcı́a United States
J. Greg Slatter United States
Gaoyun Hu China
Benny Amore relative to José W.A. van der Hoorn Netherlands José W.A. van der Hoorn's profile →
Citations per field
00.5×4.5×
José W.A. van der Hoorn · 1×
Citations per year

Countries citing papers authored by Benny Amore

Since Specialization
Citations

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

Fields of papers citing papers by Benny Amore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017158
2 2004130
3 201590
4 200267
5 199650
6 199644
7 201644
8 201842
9 201334
10 202127
11 198827
12 199526
13 201526
14
Characterization of carbamazepine metabolism in a mouse model of carbamazepine teratogenicity.
199723
15 201423
16 201822
17 202119
18 201015
19 202314
20 20039

About Benny Amore

Benny Amore is a scholar working on Oncology, Pharmacology, Molecular Biology, Pediatrics, Perinatology and Child Health and Hepatology, having authored 33 papers that have together received 929 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Liver physiology and pathology (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer Research and Treatments (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Hepatology (94 citations), Pharmacology (97 citations), Oncology (248 citations), Immunology (180 citations) and Computational Theory and Mathematics (92 citations). Benny Amore has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Philip S. Burton, Thomas J. Vidmar, Jay T. Goodwin, Gataree Ngarmchamnanrith, Richard H. Finnell, John T. Slattery, Maurice G. Emery, Sidney D. Nelson, Joe Stephenson and Kyriakos P. Papadopoulos. Their work appears in journals such as Journal of Clinical Oncology, Drug Metabolism and Disposition, Clinical Cancer Research, Cancer Research and Clinical and Translational Science.

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.

Explore authors with similar magnitude of impact