Simon Mitchell

2.4k total citations · 2 hit papers
32 papers, 1.5k citations indexed

About

Simon Mitchell is a scholar working on Cancer Research, Immunology and Molecular Biology. According to data from OpenAlex, Simon Mitchell has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 12 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Simon Mitchell's work include NF-κB Signaling Pathways (10 papers), Immune Response and Inflammation (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Simon Mitchell is often cited by papers focused on NF-κB Signaling Pathways (10 papers), Immune Response and Inflammation (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Simon Mitchell collaborates with scholars based in United Kingdom, United States and Germany. Simon Mitchell's co-authors include Alexander Hoffmann, Jesse D. Vargas, Cary L. Cooper, Koushik Roy, Pedro Mendes, Peyman Golshani, Thomas A. Zangle, Jessie E. Buth, Arinnae Kurdian and István Módy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and Immunity.

In The Last Decade

Simon Mitchell

28 papers receiving 1.5k citations

Hit Papers

Signaling via the NFκB system 2016 2026 2019 2022 2016 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Mitchell United Kingdom 17 623 426 298 203 112 32 1.5k
Jing Yu China 24 733 1.2× 407 1.0× 317 1.1× 290 1.4× 130 1.2× 82 1.7k
Maria Sofia Basile Italy 30 755 1.2× 556 1.3× 256 0.9× 194 1.0× 181 1.6× 63 1.8k
Huan Yang China 25 844 1.4× 352 0.8× 442 1.5× 130 0.6× 109 1.0× 134 2.1k
Peter Findeisen Germany 26 745 1.2× 239 0.6× 176 0.6× 289 1.4× 94 0.8× 88 1.9k
Constantin Georgescu United States 22 1.3k 2.1× 358 0.8× 322 1.1× 169 0.8× 72 0.6× 74 2.3k
Weiqi Zeng China 24 1.0k 1.6× 256 0.6× 179 0.6× 214 1.1× 105 0.9× 79 1.9k
Lorraine I. McKay United States 11 475 0.8× 416 1.0× 286 1.0× 266 1.3× 63 0.6× 14 1.6k
Boxu Ren China 19 550 0.9× 226 0.5× 146 0.5× 140 0.7× 70 0.6× 33 1.3k
Fabio Benigni Italy 25 610 1.0× 792 1.9× 243 0.8× 304 1.5× 174 1.6× 73 2.0k
Mourad Zerfaoui United States 22 633 1.0× 388 0.9× 181 0.6× 469 2.3× 86 0.8× 49 1.5k

Countries citing papers authored by Simon Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Simon Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Mitchell

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

All Works

20 of 20 papers shown
2.
Mengozzi, Manuela, Simon Mitchell, Katherine Staines, et al.. (2025). Development of a translational strategy for using TIMP-3 to inhibit aggrecanase activity in osteoarthritis. Osteoarthritis and Cartilage. 34(1). 93–104.
4.
Jones, John R, Erika J. Mancini, Timothy Chevassut, et al.. (2024). Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data. Blood Cancer Journal. 14(1). 105–105. 2 indexed citations
5.
O’Donnell, Alice, Chris Pepper, Simon Mitchell, & Andrea Pepper. (2023). NF-kB and the CLL microenvironment. Frontiers in Oncology. 13. 1169397–1169397. 18 indexed citations
6.
Mitchell, Simon, et al.. (2023). The NF-κB multidimer system model: A knowledge base to explore diverse biological contexts. Science Signaling. 16(776). eabo2838–eabo2838. 16 indexed citations
7.
Clark, Heather A., et al.. (2023). NF-κB fingerprinting reveals heterogeneous NF-κB composition in diffuse large B-cell lymphoma. Frontiers in Oncology. 13. 1181660–1181660. 3 indexed citations
8.
Smith, Victoria M., Andrea Pepper, Chris Pepper, et al.. (2023). Computational modeling of DLBCL predicts response to BH3-mimetics. npj Systems Biology and Applications. 9(1). 23–23. 4 indexed citations
9.
Mitchell, Simon, et al.. (2022). Dissecting the impact of bromodomain inhibitors on the Interferon Regulatory Factor 4‐MYC oncogenic axis in multiple myeloma. Hematological Oncology. 40(3). 417–429. 5 indexed citations
10.
Mitchell, Simon. (2021). What Will B Will B: Identifying Molecular Determinants of Diverse B-Cell Fate Decisions Through Systems Biology. Frontiers in Cell and Developmental Biology. 8. 616592–616592. 6 indexed citations
11.
Davis‐Turak, Jeremy, Cheng Zhang, Roberto Spreafico, et al.. (2020). Dissecting the Regulatory Strategies of NF-κB RelA Target Genes in the Inflammatory Response Reveals Differential Transactivation Logics. Cell Reports. 30(8). 2758–2775.e6. 49 indexed citations
12.
Roy, Koushik, Simon Mitchell, Yi Liu, et al.. (2019). A Regulatory Circuit Controlling the Dynamics of NFκB cRel Transitions B Cells from Proliferation to Plasma Cell Differentiation. Immunity. 50(3). 616–628.e6. 53 indexed citations
13.
Mitchell, Simon, Ellen L. Mercado, Adewunmi Adelaja, et al.. (2019). An NFκB Activity Calculator to Delineate Signaling Crosstalk: Type I and II Interferons Enhance NFκB via Distinct Mechanisms. Frontiers in Immunology. 10. 1425–1425. 32 indexed citations
14.
Roy, Koushik, Maxim N. Shokhirev, Simon Mitchell, & Alexander Hoffmann. (2018). Deriving Quantitative Cell Biological Information from Dye-Dilution Lymphocyte Proliferation Experiments. Methods in molecular biology. 1707. 81–94.
15.
Mitchell, Simon & Alexander Hoffmann. (2017). Identifying noise sources governing cell-to-cell variability. Current Opinion in Systems Biology. 8. 39–45. 20 indexed citations
16.
Mitchell, Simon, Rachel Tsui, & Alexander Hoffmann. (2015). Studying NF-κB Signaling with Mathematical Models. Methods in molecular biology. 1280. 647–661. 4 indexed citations
17.
Spreafico, Roberto, Simon Mitchell, & Alexander Hoffmann. (2015). Training the 21st Century Immunologist. Trends in Immunology. 36(5). 283–285. 11 indexed citations
18.
Chowdhury, Ferdousi, et al.. (2015). PD-L1 and CD8+PD1+ lymphocytes exist as targets in the pediatric tumor microenvironment for immunomodulatory therapy. OncoImmunology. 4(10). e1029701–e1029701. 50 indexed citations
19.
Mitchell, Simon & Pedro Mendes. (2013). A Computational Model of Liver Iron Metabolism. PLoS Computational Biology. 9(11). e1003299–e1003299. 31 indexed citations
20.
Cooper, Cary L. & Simon Mitchell. (1990). Nurses under stress: A reliability and validity study of the NSI. Stress Medicine. 6(1). 21–24. 20 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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