Kyle E. Giesler

13 papers receiving 336 citations

Kyle E. Giesler's Hit Papers

AI is a viable alternative to high throughput screening: a 318-target study 2024 · 90 citations
900+1Years since publication255075

Peers

Kyle E. Giesler
Comparison fields: 5 of 81
  • Molecular Medicine 38
  • Virology 30
  • Catalysis 22
  • Computational Theory and Mathematics 50
  • Infectious Diseases 50
Replace Benjamin K. Ayida with:
Benjamin K. Ayida United States
Olivier Berger United States
Alexander I. Greenwood United States
Yucheng Wang China
Alain Jean Poncelet Belgium
Tanushree Ratan Bal India
Elizabeth Anne Jefferson United States
Fakhrul Hassan China
Helmus van de Langemheen United Kingdom
Gagan Kukreja Italy
Kyle E. Giesler relative to Benjamin K. Ayida United States Benjamin K. Ayida's profile →
Citations per field
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Benjamin K. Ayida · 1×
Citations per year

Countries citing papers authored by Kyle E. Giesler

Since Specialization
Citations

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

Fields of papers citing papers by Kyle E. Giesler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle E. Giesler. 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 Kyle E. Giesler. The network helps show where Kyle E. Giesler may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
AI is a viable alternative to high throughput screening: a 318-target study
Hit paper breakdown →
202490
2 201571
3 201659
4 201632
5 201617
6 202116
7 201216
8 201615
9 201214
10 20188
11 20115
12 20243
13 20242

About Kyle E. Giesler

Kyle E. Giesler is a scholar working on Virology, Infectious Diseases, Molecular Medicine, Ceramics and Composites and Biochemistry, having authored 13 papers that have together received 348 indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), HIV/AIDS drug development and treatment (4 papers), HIV/AIDS Research and Interventions (2 papers), Crystal Structures and Properties (1 paper), Curcumin's Biomedical Applications (1 paper), Boron and Carbon Nanomaterials Research (1 paper), Intermetallics and Advanced Alloy Properties (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Molecular Medicine (38 citations), Virology (30 citations), Catalysis (22 citations), Computational Theory and Mathematics (50 citations) and Infectious Diseases (50 citations). Kyle E. Giesler has collaborated with scholars based in United States and South Africa. Frequent co-authors include Dennis C. Liotta, David T. Restrepo, Richard G. Blair, Thomas M. Shinnick, Aiming Sun, Bettina Bommarius, James P. Snyder, Ruth J. Napier, Daniel Kalman and Kimberly R. Powell. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Applied Clay Science, Materials Research Bulletin and Oncotarget.

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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