Jason Mitchell

1.3k citations
10 papers · 460 · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Microbiology top 10%
    • Reproductive tract infections research

Papers in

    • Molecular Biology Techniques and Applications 3
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Cervical Cancer and HPV Research 3

Jason Mitchell

10 papers receiving 456 citations

Peers

Jason Mitchell
Comparison fields: 5 of 80
  • Cancer Research 111
  • Microbiology 39
  • Otorhinolaryngology 27
  • Epidemiology 182
  • Health Informatics 5
Replace Elisabeth Åvall Lundqvist with:
Elisabeth Åvall Lundqvist Sweden
G. Denice Smith United States
Norbert Speich Germany
Nathalie Ebran France
Masato Sasaki Japan
Francesca Romana Di Pietro Italy
Sangjung Park South Korea
Patrícia Savio de Araujo‐Souza Brazil
Zoárd Tibor Krasznai Hungary
De-Qi Xu China
Jason Mitchell relative to Elisabeth Åvall Lundqvist Sweden Elisabeth Åvall Lundqvist's profile →
Citations per field
00.5×1.5×2.3×
Elisabeth Åvall Lundqvist · 1×
Citations per year

Countries citing papers authored by Jason Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Jason Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2016144
2 201867
3 201564
4 201356
5 201542
6 201434
7 201527
8 200114
9 20208
10 20184

About Jason Mitchell

Jason Mitchell is a scholar working on Molecular Biology, Epidemiology, Ecology, Cancer Research and Surgery, having authored 10 papers that have together received 460 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (3 papers), Molecular Biology Techniques and Applications (3 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Neuroblastoma Research and Treatments (1 paper), Biochemical effects in animals (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Cancer Research (111 citations), Microbiology (39 citations), Otorhinolaryngology (27 citations), Epidemiology (182 citations) and Health Informatics (5 citations). Jason Mitchell has collaborated with scholars based in United States, Peru and Russia. Frequent co-authors include Joseph F. Boland, Meredith Yeager, David A. Roberson, Xijun Zhang, Mark Schiffman, Nicolas Wentzensen, Michael Cullen, Sara Bass, Lisa Mirabello and Thomas Lorey. Their work appears in journals such as Human Genetics, Science Translational Medicine, JNCI Journal of the National Cancer Institute, International Journal of Radiation Oncology*Biology*Physics and Proceedings of the Royal Society B Biological Sciences.

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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