Paul S. Charifson

5.7k citations
55 papers · 4.0k indexed · 1 hit paper · h-index 29
Topics
Protein Structure and Dynamics (11 papers)Cancer therapeutics and mechanisms (11 papers)Computational Drug Discovery Methods (11 papers)

In The Last Decade

Paul S. Charifson

53 papers receiving 3.9k citations

Hit Papers

Consensus Scoring: A Method for Obtaining Improved Hit Ra...19992026200820171999100200300400500

Peers

Paul S. Charifson
Comparison fields: 5 of 142
  • Molecular Biology 2.9k
  • Computational Theory and Mathematics 1.3k
  • Organic Chemistry 726
  • Materials Chemistry 463
  • Oncology 362
Replace Michael J. Hartshorn with:
Michael J. Hartshorn United Kingdom
G. Madhavi Sastry India
Nadine Homeyer Germany
Shuanghong Huo United States
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Brent A. Gregersen United States
Chresten R. Søndergaard Ireland
Paul C. Sanschagrin United States
Michał Rostkowski Poland
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Paul S. Charifson relative to Michael J. Hartshorn United Kingdom Michael J. Hartshorn's profile →
Citations per field
00.5×1.5×
Michael J. Hartshorn · 1×
Citations per year

Countries citing papers authored by Paul S. Charifson

Since Specialization
Citations

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

Fields of papers citing papers by Paul S. Charifson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul S. Charifson. 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 Paul S. Charifson. The network helps show where Paul S. Charifson may publish in the future.

Co-authorship network of co-authors of Paul S. Charifson

This figure shows the co-authorship network connecting the top 25 collaborators of Paul S. Charifson. A scholar is included among the top collaborators of Paul S. Charifson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul S. Charifson. Paul S. Charifson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 149
4 8
5 12
6 13
7 85
8 7
9 250
10 44
11 12
12 166
13 13
14
Practical Application of Computer-Aided Drug Design
136
15 112
16 115
17 42
18 38
19 41
20 32

About Paul S. Charifson

Paul S. Charifson is a scholar working on Molecular Medicine, Toxicology and Computational Theory and Mathematics, having authored 55 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Cancer therapeutics and mechanisms (11 papers) and Computational Drug Discovery Methods (11 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Molecular Biology (2.9k citations) and Toxicology (134 citations). Paul S. Charifson has collaborated with scholars based in United States, France and Germany. Frequent co-authors include W. Patrick Walters, Emanuele Perola, Mark A. Murcko, David A. Pearlman, Lee G. Pedersen, Yunyi Wei, Christian H. Gross, Jonathan D. Parsons, Lora Swenson and Steven D. Wyrick. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

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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