M. Mukesh

418 total citations
11 papers, 155 citations indexed

About

M. Mukesh is a scholar working on Cancer Research, Pathology and Forensic Medicine and Radiation. According to data from OpenAlex, M. Mukesh has authored 11 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Pathology and Forensic Medicine and 3 papers in Radiation. Recurrent topics in M. Mukesh's work include Breast Cancer Treatment Studies (4 papers), Advanced Radiotherapy Techniques (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). M. Mukesh is often cited by papers focused on Breast Cancer Treatment Studies (4 papers), Advanced Radiotherapy Techniques (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). M. Mukesh collaborates with scholars based in United Kingdom, India and United Arab Emirates. M. Mukesh's co-authors include Charlotte E. Coles, Charles B. Wilson, A.M. Moody, Christopher Scrase, Andrew Hoole, R. Jena, Tom Roques, Richard Benson, Gillian Whitfield and S. Jefferies and has published in prestigious journals such as British Journal of Radiology, European Journal of Surgical Oncology and Clinical and Experimental Dermatology.

In The Last Decade

M. Mukesh

9 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Mukesh United Kingdom	7	74	73	54	35	30	11	155
Marianna Alessandra Gerardi Italy	9	95 1.3×	118 1.6×	76 1.4×	68 1.9×	102 3.4×	28	251
K. Peignaux-Casasnovas France	8	45 0.6×	94 1.3×	42 0.8×	18 0.5×	88 2.9×	20	158
Jennifer Le Guévelou France	9	60 0.8×	51 0.7×	22 0.4×	35 1.0×	98 3.3×	33	186
Marinos Metaxas United Kingdom	4	85 1.1×	127 1.7×	165 3.1×	50 1.4×	55 1.8×	14	255
Mattia Zaffaroni Italy	8	131 1.8×	67 0.9×	41 0.8×	31 0.9×	100 3.3×	45	265
Víctor González‐Pérez Spain	7	110 1.5×	74 1.0×	23 0.4×	43 1.2×	83 2.8×	21	285
S. Voruganti Canada	5	63 0.9×	80 1.1×	55 1.0×	25 0.7×	88 2.9×	10	192
Fred Röhner Germany	9	160 2.2×	77 1.1×	44 0.8×	16 0.5×	53 1.8×	21	249
Mariacarla Valli Switzerland	10	60 0.8×	68 0.9×	71 1.3×	22 0.6×	85 2.8×	23	196
Kathryn Masi United States	5	55 0.7×	99 1.4×	66 1.2×	18 0.5×	82 2.7×	8	155

Countries citing papers authored by M. Mukesh

Since Specialization

Citations

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

Fields of papers citing papers by M. Mukesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Mukesh

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

All Works

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11 of 11 papers shown

Mulholland, Kim, et al.. (2025). Trends and Disparities in Hemorrhagic Stroke and Hypertension‐Related Mortality in the United States From 1999 to 2023: A CDC WONDER Database Analysis. Brain and Behavior. 15(7). e70704–e70704.

Mukesh, M., et al.. (2023). Smart Electric Vehicle Charging System Using RFID. 72. 1–5. 1 indexed citations

Neelakandan, S., et al.. (2023). An Efficient WBC Cancer Cells Prediction Using Dense Net Algorithm. 1–6. 1 indexed citations

Jain, Akhilesh, et al.. (2018). Associating Factors Of Insomnia And Depression In Glaucoma: A Descriptive Analysis. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Mukesh, M., Wendi Qian, J. Wilkinson, et al.. (2016). The Cambridge Breast Intensity-modulated Radiotherapy Trial: Comparison of Clinician- versus Patient-reported Outcomes. Clinical Oncology. 28(6). 354–364. 19 indexed citations

Donovan, Ellen M., Adam Mitchell, M. Mukesh, et al.. (2014). The Effect of Image Guidance on Dose Distributions in Breast Boost Radiotherapy. Clinical Oncology. 26(11). 671–676. 6 indexed citations

Mukesh, M., Y. Rimmer, Richard Benson, et al.. (2013). The value of image-guided intensity-modulated radiotherapy in challenging clinical settings. British Journal of Radiology. 86(1021). 20120278–20120278. 7 indexed citations

Coles, Charlotte E., Adrian Murray Brunt, Duncan Wheatley, M. Mukesh, & John Yarnold. (2012). Breast Radiotherapy: Less is More?. Clinical Oncology. 25(2). 127–134. 18 indexed citations

Mukesh, M., Gillian C. Barnett, Jennifer Wilkinson, et al.. (2012). Association of breast tumour bed seroma with post-operative complications and late normal tissue toxicity: Results from the Cambridge Breast IMRT trial. European Journal of Surgical Oncology. 38(10). 918–924. 36 indexed citations

10.

Mukesh, M., Richard Benson, R. Jena, et al.. (2012). Interobserver variation in clinical target volume and organs at risk segmentation in post-parotidectomy radiotherapy: can segmentation protocols help?. British Journal of Radiology. 85(1016). e530–e536. 55 indexed citations

11.

Mukesh, M., D. Shuttleworth, & Philip I. Murray. (2009). Primary cutaneous Hodgkinâs lymphoma. Clinical and Experimental Dermatology. 34(8). e673–e675. 10 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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