Jay B. Fell

3.1k citations
14 papers · 300 · h-index 7

Impact in

    • Synthesis and Catalytic Reactions
    • Catalytic C–H Functionalization Methods
    • Synthesis and biological activity
    • Synthesis and Biological Evaluation
    • Sulfur-Based Synthesis Techniques
    • Multicomponent Synthesis of Heterocycles
    • Analytical Chemistry and Chromatography

Papers in

    • Biochemical and Molecular Research 4
    • Chemical Synthesis and Analysis 3
    • Melanoma and MAPK Pathways 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Click Chemistry and Applications 3

Jay B. Fell

13 papers receiving 267 citations

Peers

Jay B. Fell
Comparison fields: 5 of 56
  • Organic Chemistry 172
  • Spectroscopy 46
  • Hepatology 18
  • Toxicology 7
  • Molecular Biology 141
Replace Tony Pateman with:
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Thomas M. Judge United States
José S. Madalengoitia United States
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Louis‐David Cantin Canada
Patrick Pinto United States
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Jay B. Fell relative to Tony Pateman United Kingdom Tony Pateman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jay B. Fell

Since Specialization
Citations

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

Fields of papers citing papers by Jay B. Fell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay B. Fell. 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 Jay B. Fell. The network helps show where Jay B. Fell may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 199669
2 199860
3 200847
4 199836
5 199529
6 200928
7 20197
8 20196
9 20205
10 19965
11 20214
12 20242
13 20192
14 20200

About Jay B. Fell

Jay B. Fell is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Computational Theory and Mathematics and Hepatology, having authored 14 papers that have together received 300 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Biochemical and Molecular Research (4 papers), Click Chemistry and Applications (3 papers), Chemical Synthesis and Analysis (3 papers), Melanoma and MAPK Pathways (2 papers), Peptidase Inhibition and Analysis (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Organic Chemistry (172 citations), Spectroscopy (46 citations), Hepatology (18 citations), Toxicology (7 citations) and Molecular Biology (141 citations). Jay B. Fell has collaborated with scholars based in United States. Frequent co-authors include G. Kumaravel, Bing Yan, Gary M. Coppola, Jefferson Chin, Mark A. Jarosinski, James R. Wareing, James F. Blake, Michael J. Shapiro, R. Hendricks and John A. Josey. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Organic Chemistry, Journal of Medicinal Chemistry, Molecular Cancer Research and Cancer Research.

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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