Guy A. Schiehser

23 papers receiving 682 citations

Peers

Guy A. Schiehser
Comparison fields: 5 of 68
  • Parasitology 80
  • Organic Chemistry 318
  • Microbiology 52
  • Infectious Diseases 147
  • Computational Theory and Mathematics 136
Replace Sandeep Sundriyal with:
Sandeep Sundriyal India
Joo Hwan No South Korea
Christiane Deregnaucourt France
Mack Kuo United States
Nassira Mahmoudi France
Fátima Nogueira Portugal
Rozalia A. Dodean United States
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Citations per year

Countries citing papers authored by Guy A. Schiehser

Since Specialization
Citations

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

Fields of papers citing papers by Guy A. Schiehser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009124
2 200568
3 200760
4 199450
5 200848
6 200648
7 198644
8 198943
9 198939
10 200529
11 200524
12 198023
13 201222
14 201620
15 200520
16 201414
17 200713
18 200711
19 20189
20 19888

About Guy A. Schiehser

Guy A. Schiehser is a scholar working on Molecular Biology, Organic Chemistry, Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Microbiology, having authored 23 papers that have together received 726 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (5 papers), Malaria Research and Control (5 papers), Computational Drug Discovery Methods (5 papers), Antimicrobial agents and applications (4 papers), Chemical Synthesis and Analysis (4 papers), HIV/AIDS drug development and treatment (3 papers), Phenothiazines and Benzothiazines Synthesis and Activities (3 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Parasitology (80 citations), Organic Chemistry (318 citations), Microbiology (52 citations), Infectious Diseases (147 citations) and Computational Theory and Mathematics (136 citations). Guy A. Schiehser has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David P. Jacobus, James D. White, Joel S. Freundlich, William R. Jacobs, James C. Sacchettini, Mack Kuo, David A. Fidock, Catherine Vilchèze, Gülçin Gülten and Feng Wang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Drug Metabolism and Disposition and Molecular and Biochemical Parasitology.

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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