Jeffrey Varnes

959 citations
20 papers · 263 · h-index 11

Impact in

Papers in

    • Chemical Synthesis and Analysis 5
    • Phosphodiesterase function and regulation 2
    • Receptor Mechanisms and Signaling 2
    • Click Chemistry and Applications 3

Jeffrey Varnes

20 papers receiving 262 citations

Peers

Jeffrey Varnes
Comparison fields: 5 of 55
  • Pharmaceutical Science 33
  • Organic Chemistry 124
  • Oncology 47
  • Cellular and Molecular Neuroscience 32
  • Pharmacology 28
Replace Wolfgang Miltz with:
Wolfgang Miltz Switzerland
Dean A. Wacker United States
Zhengming Du United States
Olivier Barbeau United Kingdom
Pierrik Lassalas France
Petra Johannesson Sweden
Chongwu Zhang United States
Bryant Gay United States
Malini Dasgupta United States
Mehrak Kiankarimi United States
Jeffrey Varnes relative to Wolfgang Miltz Switzerland Wolfgang Miltz's profile →
Citations per field
00.5×3.5×
Wolfgang Miltz · 1×
Citations per year

Countries citing papers authored by Jeffrey Varnes

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Varnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200235
2 200731
3 201121
4 200421
5 201620
6 200718
7 201414
8 201414
9 202013
10 201012
11 201712
12 20119
13 20098
14 20158
15 20007
16 20197
17 20215
18 20103
19 20103
20 19952

About Jeffrey Varnes

Jeffrey Varnes is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 20 papers that have together received 263 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (5 papers), Click Chemistry and Applications (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Phosphodiesterase function and regulation (2 papers), Computational Drug Discovery Methods (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Pharmaceutical Science (33 citations), Organic Chemistry (124 citations), Oncology (47 citations), Cellular and Molecular Neuroscience (32 citations) and Pharmacology (28 citations). Jeffrey Varnes has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Dean A. Wacker, Joseph M. Luettgen, Steven Bai, Patrick Y. S. Lam, Robert M. Knabb, Ruth R. Wexler, Bin Yang, Kan He, Jeffrey S. Albert and John V. Duncia. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, ACS Medicinal Chemistry Letters, Plant Physiology and Biochemistry and Molecular Pharmacology.

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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