Riley L. Svec

1.1k citations
7 papers · 842 · 1 hit paper · h-index 6

Impact in

Papers in

    • Cyclopropane Reaction Mechanisms 2
    • Nanomaterials for catalytic reactions 2
    • Catalytic Cross-Coupling Reactions 2
    • Epigenetics and DNA Methylation 1
    • Cancer therapeutics and mechanisms 1

Riley L. Svec

7 papers receiving 828 citations

Riley L. Svec's Hit Papers

Predictive compound accumulation rules yield a broad-spectrum antibiotic 2017 · 699 citations
6990+3+6Years since publication200400600

Peers

Riley L. Svec
Comparison fields: 5 of 88
  • Molecular Medicine 255
  • Microbiology 102
  • Pharmacology 135
  • Organic Chemistry 245
  • Applied Microbiology and Biotechnology 14
Replace Xinxin Hu with:
Xinxin Hu China
Jarrod W. Johnson Canada
Laure Maigre France
Jalal Haddad United States
Charlotte K. Hind United Kingdom
L. Moynié United Kingdom
Ryuta Kishii United States
Renee A. Bouley United States
Jane A. Thanassi United States
Sara López United States
Riley L. Svec relative to Xinxin Hu China Xinxin Hu's profile →
Citations per field
00.5×1.6×
Xinxin Hu · 1×
Citations per year

Countries citing papers authored by Riley L. Svec

Since Specialization
Citations

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

Fields of papers citing papers by Riley L. Svec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riley L. Svec. 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 Riley L. Svec. The network helps show where Riley L. Svec may publish in the future.

Co-authors

The 12 scholars most cited alongside Riley L. Svec, 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 Riley L. Svec Line = papers co-authored together Riley L. Svec links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Predictive compound accumulation rules yield a broad-spectrum antibiotic
Hit paper breakdown →
2017699
2 201869
3 201827
4 201922
5 202214
6 20198
7 20153

About Riley L. Svec

Riley L. Svec is a scholar working on Organic Chemistry, Molecular Biology, Genetics, Pharmacology and Infectious Diseases, having authored 7 papers that have together received 842 indexed citations. Recurring topics across this work include Cyclopropane Reaction Mechanisms (2 papers), Nanomaterials for catalytic reactions (2 papers), Glioma Diagnosis and Treatment (2 papers), Catalytic Cross-Coupling Reactions (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Molecular Medicine (255 citations), Microbiology (102 citations), Pharmacology (135 citations), Organic Chemistry (245 citations) and Applied Microbiology and Biotechnology (14 citations). Riley L. Svec has collaborated with scholars based in United States. Frequent co-authors include Paul J. Hergenrother, Michelle F. Richter, Bryon Drown, Tomohiro Shirai, Andrew P. Riley, Alfredo García, David Šarlah, Daniel G. Olson, Timothy M. Fan and Gregory J. Riggins. Their work appears in journals such as ACS Chemical Biology, Journal of the American Chemical Society, Nature, Tetrahedron Letters and Angewandte Chemie International Edition.

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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