Frank Navas

672 citations
20 papers · 598 · h-index 14

Impact in

Papers in

    • Receptor Mechanisms and Signaling 9
    • Chemical Synthesis and Analysis 3
    • Pharmacological Receptor Mechanisms and Effects 3
    • Synthesis and Biological Evaluation 3
    • Cyclopropane Reaction Mechanisms 2

Frank Navas

19 papers receiving 582 citations

Peers

Frank Navas
Comparison fields: 5 of 65
  • Oncology 202
  • Organic Chemistry 207
  • Cellular and Molecular Neuroscience 110
  • Pharmacology 90
  • Computational Theory and Mathematics 72
Replace Paul K. Spearing with:
Paul K. Spearing United States
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Emiliano Rosatelli Italy
Andrea M. Sefler United States
Terrence L. Smalley United States
Lamees Hegazy United States
Charles D. Thompson United States
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Dieter Hamprecht United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Frank Navas

Since Specialization
Citations

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

Fields of papers citing papers by Frank Navas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Navas. 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 Frank Navas. The network helps show where Frank Navas may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2008122
2 201363
3 199461
4 200957
5 201055
6 199643
7 201130
8 199627
9 200826
10 200224
11 201318
12 200217
13 200315
14 201614
15 20029
16 20015
17 19985
18 20024
19 19963
20 19960

About Frank Navas

Frank Navas is a scholar working on Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience, Surgery and Oncology, having authored 20 papers that have together received 598 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Chemical Synthesis and Analysis (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Synthesis and Biological Evaluation (3 papers) and Cyclopropane Reaction Mechanisms (2 papers). The work is most often cited by research in Oncology (202 citations), Organic Chemistry (207 citations), Cellular and Molecular Neuroscience (110 citations), Pharmacology (90 citations) and Computational Theory and Mathematics (72 citations). Frank Navas has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mark H. Norman, Greg C. Rigdon, Shawn P. Williams, Aaron B. Miller, Justin A. Caravella, G. Bruce Wisely, Barrett R. Cooper, Paul K. Spearing, David N. Deaton and Kevin P. Madauss. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Journal of Biological Chemistry and The Journal of Organic Chemistry.

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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