Dominic Patel

1.1k total citations
15 papers, 549 citations indexed

About

Dominic Patel is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Dominic Patel has authored 15 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in Dominic Patel's work include Multiple Myeloma Research and Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and CAR-T cell therapy research (2 papers). Dominic Patel is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and CAR-T cell therapy research (2 papers). Dominic Patel collaborates with scholars based in United Kingdom, United States and Australia. Dominic Patel's co-authors include Stephen M. Fleming, James M. Kilner, Manuel Rodriguez‐Justo, Kwee Yong, Lydia Lee, Martin Pulé, Benjamin Draper, Robert J. Unwin, Reyisa Bughda and Brian Philip and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Dominic Patel

14 papers receiving 542 citations

Peers

Countries citing papers authored by Dominic Patel

Since Specialization

Citations

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

Fields of papers citing papers by Dominic Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominic Patel

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Evaluation of prognostic models to improve prediction of metastasis in patients following potentially curative treatment for primary colorectal cancer: the PROSPECT trial 2025 ·Health Technology Assessment ·Vicky Goh, Susan Mallett, Manuel Rodriguez‐Justo, (unknown), Rob Glynne‐Jones, (unknown), (unknown), Dominic Patel, Davide Prezzi, Stuart A. Taylor, Steve Halligan	0
2	Combining tissue biomarkers with mpMRI to diagnose clinically significant prostate cancer. Analysis of 21 biomarkers in the PICTURE study 2024 ·Prostate Cancer and Prostatic Diseases ·(unknown), Vasilis Stavrinides, Benjamin S. Simpson, (unknown), Lina M. Carmona Echeverria, Hayley Pye, (unknown), Mohammed Alawami, Jonathan D. Kay, Jonathan Olivier, Susan Heavey, Dominic Patel, Alex Freeman, Aiman Haider, Caroline M. Moore, Hashim U. Ahmed, Hayley C. Whitaker	3
3	Deep Learning Enables Spatial Mapping of the Mosaic Microenvironment of Myeloma Bone Marrow Trephine Biopsies 2023 ·Cancer Research ·(unknown), (unknown), Dominic Patel, (unknown), (unknown), (unknown), (unknown), (unknown), Lydia Lee, Manuel Rodriguez‐Justo, Kwee Yong, Yinyin Yuan	8
4	Self-supervised deep learning for highly efficient spatial immunophenotyping 2023 ·EBioMedicine ·Hanyun Zhang, Khalid AbdulJabbar, (unknown), Ayse U. Akarca, (unknown), (unknown), (unknown), Dominic Patel, Lydia Lee, Manuel Rodriguez‐Justo, Kwee Yong, Jonathan A. Ledermann, John Le Quesne, E. Shelley Hwang, Teresa Marafioti, Yinyin Yuan	4
5	Inducible localized delivery of an anti-PD-1 scFv enhances anti-tumor activity of ROR1 CAR-T cells in TNBC 2022 ·Breast Cancer Research ·Micaela Harrasser, Satyen H. Gohil, (unknown), Marco Della Peruta, Vincent Muczynski, Dominic Patel, Elena Miranda, Kristiana Grigoriadis, Anita Grigoriadis, David Granger, Rachel Evans, Amit Nathwani	24
6	Cell Abundance Aware Deep Learning For Cell Detection On Highly Imbalanced Pathological Data 2021 ·(unknown), (unknown), Dominic Patel, Lydia Lee, (unknown), (unknown), Kwee Yong, Yinyin Yuan	5
7	A rare case of relapsed multiple myeloma with aberrant T‐cell antigen expression and skin plasmacytomas 2021 ·SHILAP Revista de lepidopterología ·(unknown), Manuel Rodriguez‐Justo, Dominic Patel, Kwee Yong, Xenofon Papanikolaou	1
8	Marrow-Infiltrating Regulatory T Cells Correlate with the Presence of Dysfunctional CD4+PD-1+ Cells and Inferior Survival in Patients with Newly Diagnosed Multiple Myeloma 2020 ·Clinical Cancer Research ·Nouf M. Al‐Rasheed, Lydia Lee, Ehsan Ghorani, Jake Y. Henry, Lucía Conde, (unknown), (unknown), Andrew J.S. Furness, Selina J Chavda, (unknown), (unknown), Oliver C. Cohen, Dominic Patel, Anthony G. Brooks, Manuel Rodriguez‐Justo, Martin Pulé, Javier Herrero, Sergio A. Quezada, Kwee Yong	50
9	VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment 2019 ·NMR in Biomedicine ·Colleen Bailey, Roger Bourne, Bernard Siow, Edward W. Johnston, Mrishta Brizmohun Appayya, Hayley Pye, Susan Heavey, Thomy Mertzanidou, Hayley C. Whitaker, Alex Freeman, Dominic Patel, Greg Shaw, Ashwin Sridhar, David J. Hawkes, Shonit Punwani, Daniel C. Alexander, Eleftheria Panagiotaki	22
10	Tubular iron deposition and iron handling proteins in human healthy kidney and chronic kidney disease 2018 ·Scientific Reports ·(unknown), (unknown), (unknown), (unknown), Marius C. van den Heuvel, Jeanne Pertijs, Dominic Patel, Paul Bass, Harry van Goor, Robert J. Unwin, Surjit Kaila Srai, Dorine W. Swinkels	88
11	Immunohistochemical assessment of Survivin and Bcl3 expression as potential biomarkers for NF‐κB activation in the Barrett metaplasia–dysplasia–adenocarcinoma sequence 2018 ·International Journal of Experimental Pathology ·Ignazio Puccio, Saif Khan, (unknown), David Graham, Vinay Sehgal, Dominic Patel, Marco Novelli, Laurence Lovat, Manuel Rodriguez‐Justo, Rifat Hamoudi	5
12	Visualization of Tumor-Immune Interaction - Target-Specific Imaging of S100A8/A9 Reveals Pre-Metastatic Niche Establishment 2017 ·Theranostics ·Michel Eisenblaetter, Fabian Flores‐Borja, Jae Jin Lee, (unknown), Hannah Smith, Rebekka Hueting, Margaret S. Cooper, Philip J. Blower, Dominic Patel, Manuel Rodriguez‐Justo, (unknown), Thomas Vogl, Johannes Roth, Andrew Tutt, Tobias Schaeffter, Tony Ng	95
13	An APRIL-based chimeric antigen receptor for dual targeting of BCMA and TACI in multiple myeloma 2017 ·Blood ·Lydia Lee, Benjamin Draper, (unknown), Brian Philip, (unknown), (unknown), Shimobi Onuoha, Simon Thomas, Vania Baldan, Reyisa Bughda, Paul Maciocia, (unknown), (unknown), Dominic Patel, Manuel Rodriguez‐Justo, (unknown), Kwee Yong, Martin Pulé	134
14	Patients with genetically heterogeneous synchronous colorectal cancer carry rare damaging germline mutations in immune-related genes 2016 ·Nature Communications ·Matteo Cereda, Gennaro Gambardella, Lorena Benedetti, Fabio Iannelli, Dominic Patel, Gianluca Basso, Rosalinda F. Guerra, Thanos P. Mourikis, Ignazio Puccio, Shruti Sinha, Luigi Laghi, Jo Spencer, Manuel Rodriguez‐Justo, Francesca D. Ciccarelli	43
15	Inferring subjective states through the observation of actions 2012 ·Proceedings of the Royal Society B Biological Sciences ·Dominic Patel, Stephen M. Fleming, James M. Kilner	67

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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