Manu Shastry

692 total citations
16 papers, 541 citations indexed

About

Manu Shastry is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Manu Shastry has authored 16 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Manu Shastry's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (8 papers) and MRI in cancer diagnosis (4 papers). Manu Shastry is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (8 papers) and MRI in cancer diagnosis (4 papers). Manu Shastry collaborates with scholars based in United Kingdom, Switzerland and Uzbekistan. Manu Shastry's co-authors include Ashley M. Groves, Peter J. Ell, Raymondo Endozo, Irfan Kayani, Kenneth A. Miles, Thida Win, Sam M. Janes, Robert I. Shortman, Balaji Ganeshan and Simon Wan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Cancer Research and American Journal of Roentgenology.

In The Last Decade

Manu Shastry

16 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manu Shastry United Kingdom	12	367	184	111	83	67	16	541
Francesco Dondi Italy	14	319 0.9×	189 1.0×	90 0.8×	46 0.6×	52 0.8×	80	566
Annick Van den Abbeele United States	7	448 1.2×	337 1.8×	88 0.8×	42 0.5×	34 0.5×	11	741
F. Giammarile France	8	293 0.8×	187 1.0×	103 0.9×	97 1.2×	29 0.4×	18	519
Douglas A. Murrey United States	9	199 0.5×	130 0.7×	80 0.7×	53 0.6×	39 0.6×	21	408
Hironori Nishibori Japan	15	255 0.7×	96 0.5×	60 0.5×	75 0.9×	68 1.0×	33	548
Mark L. Sobczak United States	12	262 0.7×	484 2.6×	92 0.8×	71 0.9×	28 0.4×	23	822
Willem Grootjans Netherlands	11	325 0.9×	195 1.1×	63 0.6×	93 1.1×	32 0.5×	39	452
Nemanja Avramović Germany	9	404 1.1×	317 1.7×	88 0.8×	66 0.8×	53 0.8×	15	547
Raghu Vikram United States	14	190 0.5×	244 1.3×	148 1.3×	45 0.5×	44 0.7×	32	538
G. Bonniaud France	13	297 0.8×	139 0.8×	80 0.7×	54 0.7×	90 1.3×	25	670

Countries citing papers authored by Manu Shastry

Since Specialization

Citations

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

Fields of papers citing papers by Manu Shastry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manu Shastry

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

All Works

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16 of 16 papers shown

Akil, Mohammed, et al.. (2019). Nuclear medicine imaging in idiopathic inflammatory myopathies. SHILAP Revista de lepidopterología. 6(4). 229–230. 1 indexed citations

Win, Thida, Kenneth A. Miles, Sam M. Janes, et al.. (2013). Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non–Small Cell Lung Cancer. Clinical Cancer Research. 19(13). 3591–3599. 167 indexed citations

Goh, Vicky, Alec Engledow, Manuel Rodriguez‐Justo, et al.. (2012). The Flow–Metabolic Phenotype of Primary Colorectal Cancer: Assessment by Integrated ¹⁸F-FDG PET/Perfusion CT with Histopathologic Correlation. Journal of Nuclear Medicine. 53(5). 687–692. 24 indexed citations

Goh, Vicky, Manuel Rodriguez‐Justo, Alec Engledow, et al.. (2012). Assessment of the metabolic flow phenotype of primary colorectal cancer: correlations with microvessel density are influenced by the histological scoring method. European Radiology. 22(8). 1687–1692. 12 indexed citations

Goh, Vicky, Manu Shastry, Alec Engledow, et al.. (2012). Integrated ¹⁸F-FDG PET/CT and Perfusion CT of Primary Colorectal Cancer: Effect of Inter- and Intraobserver Agreement on Metabolic-Vascular Parameters. American Journal of Roentgenology. 199(5). 1003–1009. 15 indexed citations

Παπαθανασίου, Νικόλαος, Yong Du, Leon Menezes, et al.. (2012). ¹⁸F-Fludeoxyglucose PET/CT in the evaluation of large-vessel vasculitis: diagnostic performance and correlation with clinical and laboratory parameters. British Journal of Radiology. 85(1014). e188–e194. 64 indexed citations

Groves, Ashley M., Manu Shastry, Simona Ben‐Haim, et al.. (2012). Defining the Role of PET–CT in Staging Early Breast Cancer. The Oncologist. 17(5). 613–619. 32 indexed citations

Shastry, Manu, Kenneth A. Miles, Thida Win, et al.. (2012). Integrated ¹⁸F-Fluorodeoxyglucose–Positron Emission Tomography/Dynamic Contrast-Enhanced Computed Tomography to Phenotype Non–Small Cell Lung Carcinoma. Molecular Imaging. 11(5). 353–60. 8 indexed citations

Goh, Vicky, Manu Shastry, Alec Engledow, et al.. (2010). Commercial software upgrades may significantly alter Perfusion CT parameter values in colorectal cancer. European Radiology. 21(4). 744–749. 29 indexed citations

10.

Groves, Ashley M., Manu Shastry, Manuel Rodriguez‐Justo, et al.. (2010). 18F-FDG PET and biomarkers for tumour angiogenesis in early breast cancer. European Journal of Nuclear Medicine and Molecular Imaging. 38(1). 46–52. 47 indexed citations

11.

Shastry, Manu, Irfan Kayani, Damian Wild, et al.. (2010). Distribution pattern of 68Ga-DOTATATE in disease-free patients. Nuclear Medicine Communications. 31(12). 1025–1032. 69 indexed citations

12.

Menezes, Leon, Ashley M. Groves, Elizabeth Prvulovich, et al.. (2009). Assessment of left ventricular function at rest using rubidium-82 myocardial perfusion PET: comparison of four software algorithms with simultaneous 64-slice coronary CT angiography. Nuclear Medicine Communications. 30(12). 918–925. 4 indexed citations

13.

Groves, Ashley M., Vicky Goh, Irfan Kayani, et al.. (2008). CT coronary angiography: Quantitative assessment of myocardial perfusion using test bolus data–initial experience. European Radiology. 18(10). 2155–2163. 16 indexed citations

14.

Groves, Ashley M., Gordon Wishart, Manu Shastry, et al.. (2008). Metabolic–flow relationships in primary breast cancer: feasibility of combined PET/dynamic contrast-enhanced CT. European Journal of Nuclear Medicine and Molecular Imaging. 36(3). 416–421. 35 indexed citations

15.

Groves, Ashley M., M E Speechly-Dick, John Dickson, et al.. (2007). Cardiac 82rubidium PET/CT: initial European experience. European Journal of Nuclear Medicine and Molecular Imaging. 34(12). 1965–1972. 16 indexed citations

16.

Chakravorty, Indranil, Manu Shastry, & Ken Farrington. (2006). Sleep apnoea in end-stage renal disease: a short review of mechanisms and potential benefit from its treatment. Nephrology Dialysis Transplantation. 22(1). 28–31. 2 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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