Eric Patridge

1.5k citations
20 papers · 1.2k · 1 hit paper · h-index 12

Impact in

Papers in

Eric Patridge

19 papers receiving 1.2k citations

Eric Patridge's Hit Papers

An analysis of FDA-approved drugs: natural products and their derivatives 2015 · 671 citations
6710+3+7Years since publication200400600

Peers

Eric Patridge
Comparison fields: 5 of 134
  • Pharmacology 245
  • Molecular Medicine 65
  • Biotechnology 110
  • Pharmacology 97
  • Toxicology 34
Replace Jieling Zhao with:
Jieling Zhao United States
Xu Shen China
Tarek S. Ibrahim Egypt
Anwar Rayan Israel
Jadel M. Kratz Brazil
Francisco Jaime Bezerra Mendonça Brazil
Michael T. Flavin United States
João Xavier de Araújo‐Júnior Brazil
Sumra Wajid Abbasi Pakistan
Chengyuan Liang China
Eric Patridge relative to Jieling Zhao United States Jieling Zhao's profile →
Citations per field
00.5×10×20×32.5×
Jieling Zhao · 1×
Citations per year

Countries citing papers authored by Eric Patridge

Since Specialization
Citations

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

Fields of papers citing papers by Eric Patridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
An analysis of FDA-approved drugs: natural products and their derivatives
Hit paper breakdown →
2015671
2 2006109
3 2014109
4 201496
5 201455
6 200742
7 201532
8 202125
9 201424
10 201220
11 200918
12 201212
13 20238
14 20136
15 20155
16 20144
17 20143
18 20242
19 20131
20 20250

About Eric Patridge

Eric Patridge is a scholar working on Molecular Biology, Computational Theory and Mathematics, Physiology, Pharmacology and Epidemiology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Diet and metabolism studies (2 papers), Gut microbiota and health (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Pharmaceutical Economics and Policy (2 papers), Epigenetics and DNA Methylation (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Pharmacology (245 citations), Molecular Medicine (65 citations), Biotechnology (110 citations), Pharmacology (97 citations) and Toxicology (34 citations). Eric Patridge has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Michael S. Kinch, Peter C. Gareiss, James G. Ferry, Ramón S. Barthelemy, Susan Rankin, Mark S. Plummer, Susana L. A. Andrade, Oliver Einsle, Krishnamurthy Shyam and Rui Zhu. Their work appears in journals such as Drug Discovery Today, Journal of Bacteriology, Computational and Structural Biotechnology Journal, Bioorganic & Medicinal Chemistry Letters and Journal of Women and Minorities in Science and Engineering.

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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