Mitchell A. Avery

2.7k citations
41 papers · 2.3k indexed · 1 hit paper · h-index 21

Mitchell A. Avery

41 papers receiving 2.2k citations

Hit Papers

Identification of Telmisartan as a Unique Angiotensin II ...9272004202620112018250500750

Peers

Mitchell A. Avery
Comparison fields: 5 of 115
  • Pharmacology 258
  • Biochemistry 194
  • Endocrinology, Diabetes and Metabolism 432
  • Pharmacology 383
  • Cardiology and Cardiovascular Medicine 382
Replace Paul Hadváry with:
Paul Hadváry Switzerland
Shu-Feng Zhou China
Heyao Wang China
Brad R. Henke United States
Jesse W. Huff United States
Vladimı́r Wsól Czechia
Shinji Terao Japan
Ezio Bombardelli Italy
Im‐Sook Song South Korea
Nathalie Chauret Canada
Mitchell A. Avery relative to Paul Hadváry Switzerland Paul Hadváry's profile →
Citations per field
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Paul Hadváry · 1×
Citations per year

Countries citing papers authored by Mitchell A. Avery

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell A. Avery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20194
3 2010198
4 200913
5 20098
6 2008107
7 20081
8 200838
9 200715
10 20077
11 200719
12 200640
13 2005184
14 200329
15 200346
16 199977
17 199010
18 19909
19 198925
20 198941

About Mitchell A. Avery

Mitchell A. Avery is a scholar working on Computational Theory and Mathematics, Biochemistry, Organic Chemistry, Molecular Biology and Pharmacology, having authored 41 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Receptor Mechanisms and Signaling (5 papers), Malaria Research and Control (5 papers), Biochemical and Molecular Research (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Synthesis and biological activity (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). The work is most often cited by research in Pharmacology (258 citations), Biochemistry (194 citations), Endocrinology, Diabetes and Metabolism (432 citations), Pharmacology (383 citations) and Cardiology and Cardiovascular Medicine (382 citations). Mitchell A. Avery has collaborated with scholars based in United States, South Korea and Egypt. Frequent co-authors include Amar G. Chittiboyina, Prashant Desai, Theodore W. Kurtz, Harrihar A. Pershadsingh, Stephen C. Benson, Christopher Ho, Nianning Qi, Michal Pravenec, Jiaming Wang and Sunil Kumar Battu. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Journal of the American Chemical Society and Current Medicinal 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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