Scott A. Long

775 citations
13 papers · 429 · h-index 9

Impact in

    • Synthesis and biological activity
    • Asymmetric Synthesis and Catalysis
    • Coordination Chemistry and Organometallics
    • Synthesis and Biological Evaluation
  • Toxicology top 10%

Papers in

    • Surfactants and Colloidal Systems 3
    • Synthesis and biological activity 2
    • Asymmetric Synthesis and Catalysis 1
    • Advanced Polymer Synthesis and Characterization 1

Scott A. Long

13 papers receiving 400 citations

Peers

Scott A. Long
Comparison fields: 5 of 66
  • Organic Chemistry 189
  • Toxicology 21
  • Molecular Biology 212
  • Pharmacology 42
  • Computational Theory and Mathematics 38
Replace Christopher J. Rito with:
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Tomohiro Matsushima Japan
David A. Neel United States
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Samer Haidar Germany
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Scott A. Long relative to Christopher J. Rito United States Christopher J. Rito's profile →
Citations per field
00.5×1.5×1.8×
Christopher J. Rito · 1×
Citations per year

Countries citing papers authored by Scott A. Long

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2001146
2 201077
3 199640
4 200937
5 200935
6 201031
7 201123
8 201117
9 200716
10 20183
11 20162
12 19991
13 20151

About Scott A. Long

Scott A. Long is a scholar working on Organic Chemistry, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pharmacology and Environmental Chemistry, having authored 13 papers that have together received 429 indexed citations. Recurring topics across this work include Surfactants and Colloidal Systems (3 papers), Diet, Metabolism, and Disease (2 papers), Synthesis and biological activity (2 papers), Environmental Chemistry and Analysis (2 papers), Cannabis and Cannabinoid Research (2 papers), Pancreatic function and diabetes (1 paper), Asymmetric Synthesis and Catalysis (1 paper) and Advanced Polymer Synthesis and Characterization (1 paper). The work is most often cited by research in Organic Chemistry (189 citations), Toxicology (21 citations), Molecular Biology (212 citations), Pharmacology (42 citations) and Computational Theory and Mathematics (38 citations). Scott A. Long has collaborated with scholars based in United States and China. Frequent co-authors include Marvin J. Meyers, Matthew Mahoney, Dennis Lee, Chiu-Mei Sung, Paul M. Keller, Mark A. Levy, Kristine Kikly, James D. Winkler, Mark Nuttall and Daniel P. Nadeau. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Surfactants and Detergents, Journal of Medicinal Chemistry, Journal of the American Chemical Society and Journal of Labelled Compounds and Radiopharmaceuticals.

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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