Frank Navas

670 citations
20 papers · 586 · 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

Frank Navas

19 papers receiving 570 citations

Peers

Frank Navas
Comparison fields: 5 of 64
  • Oncology 206
  • Organic Chemistry 209
  • Cellular and Molecular Neuroscience 112
  • Pharmacology 91
  • Computational Theory and Mathematics 72
Replace Paul K. Spearing with:
Paul K. Spearing United States
Xiao‐Hui Gu China
Emiliano Rosatelli Italy
Lamees Hegazy United States
Charles D. Thompson United States
Kenneth A. Koeplinger United States
Huiqiang Zhou United States
Paul A. Stupple United Kingdom
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Citations per field
00.5×2.8×
Paul K. Spearing · 1×
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 2008118
2 201362
3 199461
4 200956
5 201053
6 199642
7 201128
8 199627
9 200825
10 200224
11 201318
12 200217
13 200315
14 201614
15 20029
16 19985
17 20015
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 586 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), Synthesis and Biological Evaluation (3 papers), Chemical Synthesis and Analysis (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Oncology (206 citations), Organic Chemistry (209 citations), Cellular and Molecular Neuroscience (112 citations), Pharmacology (91 citations) and Computational Theory and Mathematics (72 citations). Frank Navas has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mark H. Norman, Greg C. Rigdon, Shawn P. Williams, Aaron B. Miller, Barrett R. Cooper, Katrina L. Creech, Kevin P. Madauss, Paul K. Spearing, Justin A. Caravella and David N. Deaton. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, The Journal of Organic Chemistry, Bioorganic & Medicinal Chemistry and Journal of Biological 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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