Guy W. Bemis

24 papers receiving 3.5k citations

Hit Papers

The Properties of Known Drugs. 1. Molecular Frameworks 1996 · 1.7k citations
1.7k199620262006201650010001.5k

Peers

Guy W. Bemis
Comparison fields: 5 of 133
  • Computational Theory and Mathematics 1.9k
  • Molecular Biology 2.3k
  • Organic Chemistry 946
  • Pharmacology 484
  • Spectroscopy 358
Replace Darren V. S. Green with:
Darren V. S. Green United Kingdom
A. Geoffrey Skillman United States
Steven L. Dixon United States
Douglas B. Kitchen United States
Michal Vieth United States
Michael M. Hann United Kingdom
Edgar Jacoby Switzerland
Stephen D. Pickett United Kingdom
Paul C. D. Hawkins United States
Ingo Muegge United States
Guy W. Bemis relative to Darren V. S. Green United Kingdom Darren V. S. Green's profile →
Citations per field
00.5×1.5×
Darren V. S. Green · 1×
Citations per year

Countries citing papers authored by Guy W. Bemis

Since Specialization
Citations

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

Fields of papers citing papers by Guy W. Bemis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy W. Bemis. 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 Guy W. Bemis. The network helps show where Guy W. Bemis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Properties of Known Drugs. 1. Molecular Frameworks
Hit paper breakdown →
19961681
2 1999251
3 1997239
4 2010220
5 1999202
6 1999194
7 2002184
8 2004128
9 200798
10 199971
11 199658
12 199256
13 200947
14 201740
15 200936
16 200436
17 200825
18 200424
19 198624
20 200921

About Guy W. Bemis

Guy W. Bemis is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Physical and Theoretical Chemistry and Infectious Diseases, having authored 24 papers that have together received 3.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (7 papers), Melanoma and MAPK Pathways (5 papers), Biochemical and Molecular Research (4 papers), Chemical Synthesis and Analysis (3 papers), Click Chemistry and Applications (3 papers), Enzyme Structure and Function (3 papers) and Molecular spectroscopy and chirality (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.9k citations), Molecular Biology (2.3k citations), Organic Chemistry (946 citations), Pharmacology (484 citations) and Spectroscopy (358 citations). Guy W. Bemis has collaborated with scholars based in United States and India. Frequent co-authors include Mark A. Murcko, Ajay, Albert C. Pierce, Keith P. Wilson, Irwin D. Kuntz, Michael Su, Paul R. Caron, S. Pazhanisamy, Jeffrey W. Peng and Jonathan M. Moore. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Proteins Structure Function and Bioinformatics, Mini-Reviews in Medicinal Chemistry and ACS Medicinal Chemistry Letters.

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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