Jason Mitchell

1.3k total citations
10 papers, 460 citations indexed

About

Jason Mitchell is a scholar working on Molecular Biology, Epidemiology and Ecology. According to data from OpenAlex, Jason Mitchell has authored 10 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Ecology. Recurrent topics in Jason Mitchell's work include Molecular Biology Techniques and Applications (3 papers), Cervical Cancer and HPV Research (3 papers) and Genomics and Rare Diseases (1 paper). Jason Mitchell is often cited by papers focused on Molecular Biology Techniques and Applications (3 papers), Cervical Cancer and HPV Research (3 papers) and Genomics and Rare Diseases (1 paper). Jason Mitchell collaborates with scholars based in United States, Russia and Hong Kong. Jason Mitchell's co-authors include Joseph F. Boland, David A. Roberson, Meredith Yeager, Xijun Zhang, Michael Cullen, Sara Bass, Mark Schiffman, Nicolas Wentzensen, Yanzi Xiao and Thomas Lorey and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Jason Mitchell

10 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Mitchell United States 9 182 160 111 81 63 10 460
G. Denice Smith United States 11 153 0.8× 79 0.5× 63 0.6× 97 1.2× 37 0.6× 18 401
Qin Hu China 16 204 1.1× 245 1.5× 85 0.8× 70 0.9× 28 0.4× 34 591
Norbert Speich Germany 16 345 1.9× 200 1.3× 40 0.4× 186 2.3× 61 1.0× 23 589
Elisabeth Åvall Lundqvist Sweden 12 82 0.5× 193 1.2× 69 0.6× 77 1.0× 37 0.6× 21 690
Jamie T. Lewis Canada 15 137 0.8× 297 1.9× 62 0.6× 271 3.3× 47 0.7× 21 781
Daniel Baier Germany 14 47 0.3× 152 0.9× 49 0.4× 33 0.4× 39 0.6× 24 822
Richard J. Reynolds United States 20 78 0.4× 194 1.2× 41 0.4× 58 0.7× 25 0.4× 53 1.0k
Patrícia Savio de Araujo‐Souza Brazil 13 161 0.9× 154 1.0× 92 0.8× 45 0.6× 12 0.2× 27 453
Jiehong Xie China 13 93 0.5× 158 1.0× 94 0.8× 18 0.2× 48 0.8× 42 464
Zoárd Tibor Krasznai Hungary 14 99 0.5× 143 0.9× 47 0.4× 86 1.1× 11 0.2× 55 720

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-authorship network of co-authors of Jason Mitchell

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Mitchell. A scholar is included among the top collaborators of Jason Mitchell 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 Jason Mitchell. Jason Mitchell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Lou, Hong, Joseph F. Boland, Weiyin Zhou, et al.. (2020). The D2 and D3 Sublineages of Human Papilloma Virus 16–Positive Cervical Cancer in Guatemala Differ in Integration Rate and Age of Diagnosis. Cancer Research. 80(18). 3803–3809. 8 indexed citations
2.
Wood, Derrick E., James R. White, Andrew Georgiadis, et al.. (2018). A machine learning approach for somatic mutation discovery. Science Translational Medicine. 10(457). 67 indexed citations
4.
Mirabello, Lisa, Meredith Yeager, Michael Cullen, et al.. (2016). HPV16 Sublineage Associations With Histology-Specific Cancer Risk Using HPV Whole-Genome Sequences in 3200 Women. JNCI Journal of the National Cancer Institute. 108(9). djw100–djw100. 144 indexed citations
5.
Bodelón, Clara, Svetlana Vinokurova, Joshua N. Sampson, et al.. (2015). Chromosomal copy number alterations and HPV integration in cervical precancer and invasive cancer. Carcinogenesis. 37(2). 188–196. 42 indexed citations
6.
Jani, A., Debarshi Banerjee, Jason Mitchell, et al.. (2015). High-Dose, Single-Fraction Irradiation Rapidly Reduces Tumor Vasculature and Perfusion in a Xenograft Model of Neuroblastoma. International Journal of Radiation Oncology*Biology*Physics. 94(5). 1173–1180. 27 indexed citations
7.
Lane, Suzanne M., Cynthia R. Smith, Jason Mitchell, et al.. (2015). Reproductive outcome and survival of common bottlenose dolphins sampled in Barataria Bay, Louisiana, USA, following theDeepwater Horizonoil spill. Proceedings of the Royal Society B Biological Sciences. 282(1818). 20151944–20151944. 64 indexed citations
8.
Kelley, Michael J., Jianxin Shi, Bari J. Ballew, et al.. (2014). Characterization of T gene sequence variants and germline duplications in familial and sporadic chordoma. Human Genetics. 133(10). 1289–1297. 34 indexed citations
9.
Boland, Joseph F., Charles C. Chung, David A. Roberson, et al.. (2013). The new sequencer on the block: comparison of Life Technology’s Proton sequencer to an Illumina HiSeq for whole-exome sequencing. Human Genetics. 132(10). 1153–1163. 56 indexed citations
10.
Coughlin, David J., et al.. (2001). Thyroxine induces transitions in red muscle kinetics and steady swimming kinematics in rainbow trout (Oncorhynchus mykiss). Journal of Experimental Zoology. 290(2). 115–124. 14 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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