Julia M. Pearson

1.6k total citations
30 papers, 1.2k citations indexed

About

Julia M. Pearson is a scholar working on Toxicology, Emergency Medicine and Pharmacology. According to data from OpenAlex, Julia M. Pearson has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Toxicology, 9 papers in Emergency Medicine and 7 papers in Pharmacology. Recurrent topics in Julia M. Pearson's work include Forensic Toxicology and Drug Analysis (9 papers), Poisoning and overdose treatments (8 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). Julia M. Pearson is often cited by papers focused on Forensic Toxicology and Drug Analysis (9 papers), Poisoning and overdose treatments (8 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). Julia M. Pearson collaborates with scholars based in United States, Australia and Czechia. Julia M. Pearson's co-authors include Robert Sharman, Laura S. Hair, Justin L. Poklis, Kelly G. Devers, Alphonse Poklis, Robert A. Roth, Gregory Meymaris, Larry Cornman, A. Eric Schultze and David Ginsburg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Julia M. Pearson

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julia M. Pearson United States 19 483 224 202 183 168 30 1.2k
James Young United States 17 4 0.0× 18 0.1× 114 0.6× 38 0.2× 93 0.6× 28 1.5k
Alessandra Ciucci Italy 21 20 0.0× 10 0.0× 41 0.2× 55 0.3× 21 0.1× 63 1.3k
Ran You China 16 5 0.0× 19 0.1× 82 0.4× 37 0.2× 41 0.2× 41 1.0k
Robert D. Elliott United States 18 14 0.0× 5 0.0× 121 0.6× 71 0.4× 117 0.7× 80 909
Juhyun Park South Korea 22 6 0.0× 52 0.2× 93 0.5× 32 0.2× 92 0.5× 98 1.7k
Pierre‐André Dubé Canada 16 26 0.1× 9 0.0× 3 0.0× 83 0.5× 27 0.2× 40 640
Kelly H. Liu United States 35 14 0.0× 14 0.1× 37 0.2× 6 0.0× 5 0.0× 152 3.9k
Chieko Suzuki Japan 22 7 0.0× 3 0.0× 28 0.1× 22 0.1× 39 0.2× 120 1.6k
Yael Lurie Israel 13 50 0.1× 38 0.2× 48 0.3× 52 0.3× 29 605
Wenhui Wu China 19 5 0.0× 9 0.0× 27 0.1× 19 0.1× 40 0.2× 137 1.2k

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-authorship network of co-authors of Julia M. Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Julia M. Pearson. A scholar is included among the top collaborators of Julia M. Pearson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia M. Pearson. Julia M. Pearson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Jared A., et al.. (2024). NYSolarCast: A solar power forecasting system for New York State. Solar Energy. 272. 112462–112462. 2 indexed citations
2.
Haupt, Sue Ellen, John K. Williams, Julia M. Pearson, et al.. (2017). Blending distributed photovoltaic and demand load forecasts. Solar Energy. 157. 542–551. 23 indexed citations
3.
Hair, Laura S., et al.. (2017). Fatalities Involving Carfentanil and Furanyl Fentanyl: Two Case Reports. Journal of Analytical Toxicology. 41(6). 498–502. 91 indexed citations
4.
Hair, Laura S., et al.. (2017). Clinical Presentation, Autopsy Results and Toxicology Findings in an AcuteN-Ethylpentylone Fatality. Journal of Analytical Toxicology. 41(4). 342–346. 44 indexed citations
5.
Haupt, Sue Ellen, John K. Williams, Julia M. Pearson, et al.. (2017). Notice of Removal Impact of distributed PV on demand load forecasts. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 1–6. 1 indexed citations
6.
Poklis, Justin L., Alphonse Poklis, Carl E. Wolf, et al.. (2016). Two Fatal Intoxications Involving Butyryl Fentanyl. Journal of Analytical Toxicology. 40(8). 703–708. 70 indexed citations
7.
Poklis, Justin L., Alphonse Poklis, Carl E. Wolf, et al.. (2015). Postmortem tissue distribution of acetyl fentanyl, fentanyl and their respective nor-metabolites analyzed by ultrahigh performance liquid chromatography with tandem mass spectrometry. Forensic Science International. 257. 435–441. 81 indexed citations
8.
Berg, Johannes, et al.. (2015). Remote Health Care: A Game Changer for the Arctic. OTC Arctic Technology Conference. 3 indexed citations
9.
Sharman, Robert, et al.. (2013). In situ turbulence measurements from commercial aircraft. EGUGA. 1 indexed citations
10.
Pearson, Julia M.. (2013). Calibration of in situ eddy dissipation rate (EDR) severity thresholds based on comparisons to turbulence pilot reports (PIREPs). 1 indexed citations
11.
Moore, Kathleen A., et al.. (2012). Clinical history and characteristics of persons with oxycodone-related deaths in Hillsborough County, Florida in 2009. Forensic Science International. 223(1-3). 47–52. 17 indexed citations
12.
Pearson, Julia M., et al.. (2012). Three Fatal Intoxications Due to Methylone. Journal of Analytical Toxicology. 36(6). 444–451. 111 indexed citations
13.
Brown, Heather M., et al.. (1998). Localization of Plasminogen Activator Inhibitor Type 2 (PAI-2) in Hair and Nail: Implications for Terminal Differentiation. Journal of Investigative Dermatology. 110(6). 917–922. 34 indexed citations
14.
Brown, Heather M., Robert M. Lavker, Julia M. Pearson, et al.. (1998). Differentiating cells of murine stratified squamous epithelia constitutively express plasminogen activator inhibitor type 2 (PAI-2). Histochemistry and Cell Biology. 110(6). 559–569. 24 indexed citations
15.
Pearson, Julia M., Marc B. Bailie, Gregory D. Fink, & Robert A. Roth. (1997). Neither platelet activating factor nor leukotrienes are critical mediators of liver injury after lipopolysaccharide administration. Toxicology. 121(3). 181–189. 9 indexed citations
16.
Pearson, Julia M., Alan Brown, A. Eric Schultze, Patricia E. Ganey, & Robert A. Roth. (1996). GADOLINIUM CHLORIDE TREATMENT ATTENUATES HEPATIC PLATELET ACCUMULATION AFTER LIPOPOLYSACCHARIDE ADMINISTRATION. Shock. 5(6). 408–415. 19 indexed citations
17.
Moulin, Frederic, Julia M. Pearson, A. Eric Schultze, et al.. (1996). Thrombin Is a Distal Mediator of Lipopolysaccharide-Induced Liver Injury in the Rat. Journal of Surgical Research. 65(2). 149–158. 26 indexed citations
18.
19.
Pearson, Julia M., A. Eric Schultze, Paul A. Jean, & Robert A. Roth. (1995). PLATELET PARTICIPATION IN LIVER INJURY FROM GRAM-NEGATIVE BACTERIAL LIPOPOLYSACCHARIDE IN THE RAT. Shock. 4(3). 178–186. 43 indexed citations
20.
Bailie, Marc B., et al.. (1994). Platelets and α-Naphthylisothiocyanate-Induced Liver Injury. Toxicology and Applied Pharmacology. 129(2). 207–213. 12 indexed citations

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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