Lex A. Mitchell

3.7k citations
28 papers · 1.1k · h-index 13

Impact in

Papers in

    • Glioma Diagnosis and Treatment 5
    • Eicosanoids and Hypertension Pharmacology 5

Lex A. Mitchell

27 papers receiving 1.1k citations

Peers

Lex A. Mitchell
Comparison fields: 5 of 69
  • Genetics 251
  • Radiology, Nuclear Medicine and Imaging 558
  • Biochemistry 59
  • Health Informatics 18
  • Neurology 34
Replace Mirosław Bik-Multanowski with:
Mirosław Bik-Multanowski Poland
Saaket Agrawal United States
Javier E. López United States
Yan Huo China
Ji Young Kim South Korea
Bohan Li China
Laurent Boyer France
Wei Fan China
Ryo Matsuoka Japan
Bo Eun Lee South Korea
Lex A. Mitchell relative to Mirosław Bik-Multanowski Poland Mirosław Bik-Multanowski's profile →
Citations per field
00.5×5×10×12.6×
Mirosław Bik-Multanowski · 1×
Citations per year

Countries citing papers authored by Lex A. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Lex A. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014281
2 2015230
3 2013111
4 200078
5 200861
6 201650
7 201544
8 201628
9 201127
10 200123
11 201922
12 200220
13 202020
14 201313
15 200212
16 201010
17 20138
18 20097
19 20187
20 20217

About Lex A. Mitchell

Lex A. Mitchell is a scholar working on Genetics, Biochemistry, Radiology, Nuclear Medicine and Imaging, Epidemiology and Psychiatry and Mental health, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (5 papers), Glioma Diagnosis and Treatment (5 papers), Traumatic Brain Injury Research (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Infectious Diseases and Tuberculosis (2 papers), Mitochondrial Function and Pathology (2 papers), Neurological Complications and Syndromes (2 papers) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Genetics (251 citations), Radiology, Nuclear Medicine and Imaging (558 citations), Biochemistry (59 citations), Health Informatics (18 citations) and Neurology (34 citations). Lex A. Mitchell has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Achal Singh Achrol, Olivier Gevaert, Sebastian Echegaray, Sandy A. Napel, Kristen W. Yeom, Gary Kenneth Steinberg, Sylvia K. Plevritis, Greg Zaharchuk, Jiajing Xu and Samuel Henry Cheshier. Their work appears in journals such as Toxicology and Applied Pharmacology, American Journal of Neuroradiology, Radiology, Neuro-Oncology and Cardiovascular Toxicology.

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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