Julia M. Pearson

30 papers receiving 1.1k citations

Peers

Julia M. Pearson
Comparison fields: 5 of 113
  • Toxicology 461
  • Emergency Medicine 123
  • Atmospheric Science 208
  • Clinical Psychology 195
  • Pharmacology 67
Replace Tim Hammond with:
Tim Hammond United Kingdom
Craig Nelson Australia
Betty S. Chan Australia
James Young United States
Sébastien Bergeron Canada
Orestis Papasouliotis Switzerland
Robert D. Elliott United States
Ran You China
Kelly H. Liu United States
Chieko Suzuki Japan
Julia M. Pearson relative to Tim Hammond United Kingdom Tim Hammond's profile →
Citations per field
00.5×10×20×32.5×
Tim Hammond · 1×
Citations per year

Countries citing papers authored by Julia M. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Julia M. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia M. Pearson. 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 Julia M. Pearson. The network helps show where Julia M. Pearson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014133
2 2012111
3 2013108
4 201695
5 199994
6 201793
7 201583
8 201672
9 201744
10 199543
11 199640
12 201537
13 199834
14 201727
15 199626
16 201524
17 199824
18 201723
19 199619
20 201217

About Julia M. Pearson

Julia M. Pearson is a scholar working on Toxicology, Emergency Medicine, Pharmacology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (9 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Poisoning and overdose treatments (7 papers), Opioid Use Disorder Treatment (5 papers), Meteorological Phenomena and Simulations (5 papers), Wind and Air Flow Studies (4 papers), Alcohol Consumption and Health Effects (4 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Toxicology (461 citations), Emergency Medicine (123 citations), Atmospheric Science (208 citations), Clinical Psychology (195 citations) and Pharmacology (67 citations). Julia M. Pearson has collaborated with scholars based in United States, Australia and Czechia. Frequent co-authors include Robert Sharman, Laura S. Hair, Alphonse Poklis, Kelly G. Devers, Justin L. Poklis, Robert A. Roth, Larry Cornman, Gregory Meymaris, A. Eric Schultze and David Ginsburg. Their work appears in journals such as Journal of Analytical Toxicology, Journal of Applied Meteorology and Climatology, Forensic Science International, Shock and Solar Energy.

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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