Mishal Patel

657 total citations
12 papers, 333 citations indexed

About

Mishal Patel is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Mishal Patel has authored 12 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Mishal Patel's work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Colorectal Cancer Screening and Detection (3 papers). Mishal Patel is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Colorectal Cancer Screening and Detection (3 papers). Mishal Patel collaborates with scholars based in United Kingdom, United States and Australia. Mishal Patel's co-authors include Mark Halling‐Brown, Bissan Al‐Lazikani, Joseph E Tym, Paul Workman, Franco Maria Montevecchi, Mario Orsi, Alberto Redaelli, Jonathan W. Essex, Marco A. Deriu and Monica Soncini and has published in prestigious journals such as Nucleic Acids Research, Nature Reviews Drug Discovery and Biophysical Journal.

In The Last Decade

Mishal Patel

12 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mishal Patel United Kingdom	8	173	65	60	38	37	12	333
Chun‐Chao Wang Taiwan	13	407 2.4×	23 0.4×	98 1.6×	9 0.2×	18 0.5×	29	683
Antonio Palmeri Italy	8	271 1.6×	57 0.9×	39 0.7×	14 0.4×	19 0.5×	12	386
Evan Molinelli United States	7	370 2.1×	84 1.3×	148 2.5×	15 0.4×	13 0.4×	7	527
Gongjie Liu China	14	365 2.1×	19 0.3×	39 0.7×	42 1.1×	4 0.1×	30	807
Min‐Soo Choi South Korea	12	176 1.0×	29 0.4×	19 0.3×	4 0.1×	16 0.4×	25	498
Jacob Thomas Poland	9	506 2.9×	62 1.0×	22 0.4×	11 0.3×	9 0.2×	15	767
Julie E. Pickett United States	14	475 2.7×	172 2.6×	53 0.9×	6 0.2×	56 1.5×	24	783
Aleksandra Karolak United States	11	112 0.6×	14 0.2×	38 0.6×	14 0.4×	40 1.1×	29	313
Pau Creixell United States	12	643 3.7×	104 1.6×	64 1.1×	7 0.2×	20 0.5×	17	802
Marcus Bode Germany	10	393 2.3×	17 0.3×	34 0.6×	18 0.5×	47 1.3×	13	560

Countries citing papers authored by Mishal Patel

Since Specialization

Citations

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

Fields of papers citing papers by Mishal Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mishal Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Mishal Patel. A scholar is included among the top collaborators of Mishal 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 Mishal Patel. Mishal 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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12 of 12 papers shown

Johnson, Martin, et al.. (2023). The potential and pitfalls of artificial intelligence in clinical pharmacology. CPT Pharmacometrics & Systems Pharmacology. 12(3). 279–284. 17 indexed citations

Burnside, Elizabeth S., Lucy M. Warren, Jonathan P. Myles, et al.. (2021). Quantitative breast density analysis to predict interval and node-positive cancers in pursuit of improved screening protocols: a case–control study. British Journal of Cancer. 125(6). 884–892. 6 indexed citations

Halling‐Brown, Mark, et al.. (2018). Mining hidden data to predict patient prognosis: texture feature extraction and machine learning in mammography. 30–30. 1 indexed citations

Alnowami, Majdi, Godfrey A. Mills, Kenneth C. Young, et al.. (2018). A deep learning model observer for use in alterative forced choice virtual clinical trials. View. 25–25. 11 indexed citations

Patel, Mishal, Kenneth C. Young, & Mark Halling‐Brown. (2016). Collection of sequential imaging events for research in breast cancer screening. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9789. 97890K–97890K. 1 indexed citations

Patel, Mishal, et al.. (2015). Quantitative imaging features: extension of the oncology medical image database. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9418. 941812–941812. 2 indexed citations

Halling‐Brown, Mark, et al.. (2014). The oncology medical image database (OMI-DB). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9039. 903906–903906. 14 indexed citations

Patel, Mishal, et al.. (2014). Automated collection of medical images for research from heterogeneous systems: trials and tribulations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9039. 90390C–90390C. 11 indexed citations

Patel, Mishal, Mark Halling‐Brown, Joseph E Tym, Paul Workman, & Bissan Al‐Lazikani. (2012). Objective assessment of cancer genes for drug discovery. Nature Reviews Drug Discovery. 12(1). 35–50. 90 indexed citations

10.

Halling‐Brown, Mark, et al.. (2011). canSAR: an integrated cancer public translational research and drug discovery resource. Nucleic Acids Research. 40(D1). D947–D956. 67 indexed citations

11.

Deriu, Marco A., Monica Soncini, Mario Orsi, et al.. (2010). Anisotropic Elastic Network Modeling of Entire Microtubules. Biophysical Journal. 99(7). 2190–2199. 90 indexed citations

12.

Kan, Jinqing, Zhou Su, Ya Zhang, & Mishal Patel. (2006). Synthesis and characterization of polyaniline nanoparticles in the presence of magnetic field and samarium chloride. European Polymer Journal. 42(9). 2004–2012. 23 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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