Thomas J. Mitchell

42.6k total citations · 3 hit papers
92 papers, 2.7k citations indexed

About

Thomas J. Mitchell is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas J. Mitchell has authored 92 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Pulmonary and Respiratory Medicine and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas J. Mitchell's work include Music Technology and Sound Studies (13 papers), Renal cell carcinoma treatment (12 papers) and Cancer Genomics and Diagnostics (12 papers). Thomas J. Mitchell is often cited by papers focused on Music Technology and Sound Studies (13 papers), Renal cell carcinoma treatment (12 papers) and Cancer Genomics and Diagnostics (12 papers). Thomas J. Mitchell collaborates with scholars based in United Kingdom, United States and Australia. Thomas J. Mitchell's co-authors include M. A. F. Kendall, P. Wrighton-Smith, Joanne Edwards, Valerie G. Brunton, David E. Neal, David Pellman, Alexander Spektor, Lili Sun, Anna Cheng and Kim Judge and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Thomas J. Mitchell

88 papers receiving 2.7k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Intra-tumour diversification in colorectal cancer at the single-cell level

2018 376 citations Sam Behjati, Thomas J. Mitchell et al. Nature profile →
Epidemiology of Renal Cell Carcinoma: 2022 Update

2022 358 citations Thomas J. Mitchell et al. profile →
Mechanisms generating cancer genome complexity from a single cell division error

2020 276 citations Neil T. Umbreit, Cheng‐Zhong Zhang et al. Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Thomas J. Mitchell	1.2k	615	576	545	245	92	2.7k
Nicola J. Armstrong	1.5k 1.3×	424 0.7×	942 1.6×	385 0.7×	268 1.1×	81	3.2k
Zhenyu Zhang	1.4k 1.2×	385 0.6×	729 1.3×	405 0.7×	112 0.5×	227	3.5k
Chen Xu	1.0k 0.9×	463 0.8×	745 1.3×	406 0.7×	125 0.5×	124	2.9k
Rodrigo Chuaqui	2.4k 2.1×	721 1.2×	817 1.4×	468 0.9×	184 0.8×	55	3.8k
Chi Wang	2.5k 2.2×	531 0.9×	726 1.3×	294 0.5×	140 0.6×	155	3.9k
Hexin Chen	1.8k 1.5×	975 1.6×	725 1.3×	197 0.4×	173 0.7×	186	3.4k
Falk Schubert	1.6k 1.3×	915 1.5×	754 1.3×	266 0.5×	134 0.5×	28	2.7k
Song Liu	1.2k 1.0×	478 0.8×	401 0.7×	515 0.9×	72 0.3×	173	2.8k
Martin E. van Royen	1.7k 1.5×	390 0.6×	465 0.8×	757 1.4×	145 0.6×	83	2.9k
Andrew Stubbs	1.3k 1.1×	425 0.7×	729 1.3×	370 0.7×	99 0.4×	102	2.9k

Countries citing papers authored by Thomas J. Mitchell

Since Specialization

Citations

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

Fields of papers citing papers by Thomas J. Mitchell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. Mitchell

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

All Works

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20 of 20 papers shown

Rossi, Sabrina H., Gahee Park, Christopher G. Smith, et al.. (2025). Evidence of DNA methylation heterogeneity and epipolymorphism in kidney cancer tissue samples. Oncogene. 44(15). 1024–1036.

McLean, Mary A., João Duarte, Eva Serrão, et al.. (2025). K-Means Clustering of Hyperpolarised 13C-MRI Identifies Intratumoral Perfusion/Metabolism Mismatch in Renal Cell Carcinoma as the Best Predictor of the Highest Grade. Cancers. 17(4). 569–569. 1 indexed citations

Priest, Andrew N., Andrew B. Gill, Iosif Mendichovszky, et al.. (2024). High-resolution and highly accelerated MRI T2 mapping as a tool to characterise renal tumour subtypes and grades. European Radiology Experimental. 8(1). 76–76. 1 indexed citations

Anandapadamanaban, Madhanagopal, Kevin W. Loudon, Olga Perišić, et al.. (2024). Multifocal, multiphenotypic tumours arising from an MTOR mutation acquired in early embryogenesis. Oncogene. 43(44). 3268–3276. 3 indexed citations

McLean, Mary A., Marta Wylot, Joshua Kaggie, et al.. (2024). Multiarm, non-randomised, single-centre feasibility study—investigation of the differential biology between benign and malignant renal masses using advanced magnetic resonance imaging techniques (IBM-Renal): protocol. BMJ Open. 14(10). e083980–e083980. 2 indexed citations

Blackmur, James P., James N. Armitage, James O. Jones, et al.. (2024). ‘Case of the Month’ from Addenbrooke's Hospital, Cambridge, UK : surgery after near complete response to combined immunotherapy and tyrosine kinase inhibitor therapy for metastatic renal cell carcinoma with inferior vena cava tumour thrombus. British Journal of Urology. 136(4). 613–616.

Muyas, Francesc, Carolin M. Sauer, Jose Espejo Valle-Inclán, et al.. (2023). De novo detection of somatic mutations in high-throughput single-cell profiling data sets. Nature Biotechnology. 42(5). 758–767. 43 indexed citations

Rossi, Sabrina H., Kevin Brennan, Gahee Park, et al.. (2022). Accurate detection of benign and malignant renal tumor subtypes with MethylBoostER: An epigenetic marker–driven learning framework. Science Advances. 8(39). eabn9828–eabn9828. 7 indexed citations

Smith, Rachel J., Nadir Abbas, Steve Flack, et al.. (2022). O07 Results of the first national audit of PBC management reveal significant variation in care delivery across the UK. Abstracts. A5.1–A5.

10.

Coorens, Tim, Luiza Moore, Philip S. Robinson, et al.. (2021). Extensive phylogenies of human development inferred from somatic mutations. Nature. 597(7876). 387–392. 75 indexed citations

11.

Azar, Walid J., Elizabeth L. Christie, Thomas J. Mitchell, et al.. (2020). Noncanonical IL6 Signaling-Mediated Activation of YAP Regulates Cell Migration and Invasion in Ovarian Clear Cell Cancer. Cancer Research. 80(22). 4960–4971. 14 indexed citations

12.

Umbreit, Neil T., Cheng‐Zhong Zhang, Anna Cheng, et al.. (2020). Mechanisms generating cancer genome complexity from a single cell division error. Science. 368(6488). 276 indexed citations breakdown →

13.

Knowler, Susan P., et al.. (2019). Pilot study of head conformation changes over time in the Cavalier King Charles spaniel breed. Veterinary Record. 184(4). 122–122. 4 indexed citations

14.

Au‐Yeung, George, Walid J. Azar, Thomas J. Mitchell, et al.. (2016). Selective Targeting of Cyclin E1-Amplified High-Grade Serous Ovarian Cancer by Cyclin-Dependent Kinase 2 and AKT Inhibition. Clinical Cancer Research. 23(7). 1862–1874. 100 indexed citations

15.

Madgwick, Sebastian, et al.. (2015). Simple synchronisation for open sound control. UWE Research Repository (UWE Bristol). 2015. 2 indexed citations

16.

Kengradomkij, Chanya, Tawin Inpankaew, Ketsarin Kamyingkird, et al.. (2014). Seroprevalence and risk factors associated with exposure of water buffalo (Bubalus bubalis) to Neospora caninum in northeast Thailand. Veterinary Parasitology. 207(1-2). 156–160. 22 indexed citations

17.

Etemadmoghadam, Dariush, George Au‐Yeung, Meaghan Wall, et al.. (2013). Resistance to CDK2 Inhibitors Is Associated with Selection of Polyploid Cells in CCNE1 -Amplified Ovarian Cancer. Clinical Cancer Research. 19(21). 5960–5971. 90 indexed citations

18.

Mitchell, Thomas J.. (2005). Frequency Modulation Tone Matching Using a Fuzzy Clustering Evolution Strategy. Journal of the Audio Engineering Society. 6 indexed citations

19.

Mitchell, Thomas J., et al.. (2003). Plasma nicotine concentraiton determined by HPLC-electrospray-mass spectrometry. Therapeutic Drug Monitoring. 25(4). 486–486. 3 indexed citations

20.

Mitchell, Thomas J. & Anna K. Harding. (1996). Who Is Drinking Nitrate in Their Well Water. Journal of environmental health. 59(3). 14. 1 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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