Robert C. Rizzo

5.9k citations
63 papers · 4.6k indexed · 3 hit papers · h-index 30

Impact in

Papers in

Robert C. Rizzo

57 papers receiving 4.5k citations

Hit Papers

DOCK 6: Impact of new features and current docking performance 2015 · 563 citations
5631999202620082017200400600

Peers

Robert C. Rizzo
Comparison fields: 5 of 155
  • Virology 399
  • Computational Theory and Mathematics 1.3k
  • Molecular Biology 2.7k
  • Infectious Diseases 635
  • Pharmacology 415
Replace Araz Jakalian with:
Araz Jakalian Canada
Viktor Horn̆ák United States
Mahmoud E. S. Soliman South Africa
Christoph Sotriffer Germany
Wim Vranken Belgium
Heather A. Carlson United States
Asim Okur United States
Daniel R. Roe United States
James M. Briggs United States
Jason Swails United States
Robert C. Rizzo relative to Araz Jakalian Canada Araz Jakalian's profile →
Citations per field
00.5×1.7×
Araz Jakalian · 1×
Citations per year

Countries citing papers authored by Robert C. Rizzo

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Rizzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20231
5 20234
6 202116
7 201923
8 20195
9 201613
10 201541
11 201512
12 201316
13 201325
14 20137
15 2012129
16 2012130
17 2011103
18 201154
19 200198
20 200133

About Robert C. Rizzo

Robert C. Rizzo is a scholar working on Virology, Infectious Diseases, Computational Theory and Mathematics, Molecular Biology and Toxicology, having authored 63 papers that have together received 4.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (19 papers), HIV/AIDS drug development and treatment (17 papers), HIV Research and Treatment (15 papers), Computational Drug Discovery Methods (15 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), HER2/EGFR in Cancer Research (5 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Virology (399 citations), Computational Theory and Mathematics (1.3k citations), Molecular Biology (2.7k citations), Infectious Diseases (635 citations) and Pharmacology (415 citations). Robert C. Rizzo has collaborated with scholars based in United States, Egypt and New Zealand. Frequent co-authors include William L. Jorgensen, Sudipto Mukherjee, Irwin D. Kuntz, Trent E. Balius, David A. Case, P. Therese Lang, Scott R. Brozell, William J. Allen, Eric F. Pettersen and Carlos Simmerling. Their work appears in journals such as Biochemistry, Journal of Computational Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Journal of the American Chemical Society.

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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