John M. Mitchell

61 papers receiving 2.5k citations

Peers

John M. Mitchell
Comparison fields: 5 of 138
  • Toxicology 726
  • Pharmacology 1.1k
  • Pathology and Forensic Medicine 300
  • Applied Microbiology and Biotechnology 29
  • Cellular and Molecular Neuroscience 282
Replace Óscar García‐Algar with:
Óscar García‐Algar Spain
John S. Markowitz United States
Marc Fathi Switzerland
C. E. Cook United States
Michel Lhermitte France
Bruce A. Goldberger United States
Eugénia Gallardo Portugal
C. Lindsay DeVane United States
Laura Mercolini Italy
Brian F. Thomas United States
John M. Mitchell relative to Óscar García‐Algar Spain Óscar García‐Algar's profile →
Citations per field
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Óscar García‐Algar · 1×
Citations per year

Countries citing papers authored by John M. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by John M. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998203
2 2018202
3 1992181
4 2017163
5 1991139
6 1998129
7 202090
8 201886
9 199584
10 199881
11 199172
12 202065
13 198562
14 197859
15 201557
16 201454
17 198751
18 199046
19 198944
20 202042

About John M. Mitchell

John M. Mitchell is a scholar working on Toxicology, Pharmacology, Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (24 papers), Cannabis and Cannabinoid Research (18 papers), Opioid Use Disorder Treatment (7 papers), Analytical Chemistry and Chromatography (6 papers), Alcohol Consumption and Health Effects (6 papers), Pesticide Residue Analysis and Safety (5 papers), Poisoning and overdose treatments (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Toxicology (726 citations), Pharmacology (1.1k citations), Pathology and Forensic Medicine (300 citations), Applied Microbiology and Biotechnology (29 citations) and Cellular and Molecular Neuroscience (282 citations). John M. Mitchell has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Edward J. Cone, George E. Bigelow, Ronald Flegel, Ryan G. Vandrey, Bindu D. Paul, Charles LoDico, Tory R. Spindle, Peter J. Welch, Evan S. Herrmann and Nicolas J. Schlienz. Their work appears in journals such as Journal of Analytical Toxicology, Drug and Alcohol Dependence, The Annals of Thoracic Surgery, Forensic Science International and Carcinogenesis.

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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