Julie A. Frearson

3.8k citations
43 papers · 2.2k indexed · 1 hit paper · h-index 25

Julie A. Frearson

43 papers receiving 2.1k citations

Hit Papers

Lessons Learnt from Assembling Screening Libraries for Dr...4822007202620132019100200300400

Peers

Julie A. Frearson
Comparison fields: 5 of 107
  • Public Health, Environmental and Occupational Health 723
  • Organic Chemistry 707
  • Computational Theory and Mathematics 373
  • Epidemiology 714
  • Toxicology 57
Replace Kohei Yokoyama with:
Kohei Yokoyama United States
Anang A. Shelat United States
Bryan T. Mott United States
Roberta Ettari Italy
S.K. Puri India
Simon A. Osborne United Kingdom
Robert T. Jacobs United States
Arnulf Dorn Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Julie A. Frearson

Since Specialization
Citations

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

Fields of papers citing papers by Julie A. Frearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201846
2 201716
3 201716
4 2013108
5 201322
6 20132
7 201218
8 201136
9 20116
10 201119
11 201032
12 201029
13 201056
14 201042
15 200964
16 200918
17 200942
18 2007108
19 199759
20 199621

About Julie A. Frearson

Julie A. Frearson is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Toxicology, having authored 43 papers that have together received 2.2k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (23 papers), Research on Leishmaniasis Studies (15 papers), Biochemical and Molecular Research (9 papers), Synthesis and Biological Evaluation (9 papers), Computational Drug Discovery Methods (5 papers), Protein Tyrosine Phosphatases (5 papers), Enzyme function and inhibition (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (723 citations), Organic Chemistry (707 citations) and Computational Theory and Mathematics (373 citations). Julie A. Frearson has collaborated with scholars based in United Kingdom, Norway and United States. Frequent co-authors include Paul G. Wyatt, Ian H. Gilbert, Denis R. Alexander, Ruth Brenk, Alan H. Fairlamb, Alessandro Schipani, Iain T. Collie, Emma Shanks, Deuan C. Jones and Irene Hallyburton. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and PLoS ONE.

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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