Anup Singh

5.3k total citations · 1 hit paper
113 papers, 4.1k citations indexed

About

Anup Singh is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Genetics. According to data from OpenAlex, Anup Singh has authored 113 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Radiology, Nuclear Medicine and Imaging, 35 papers in Materials Chemistry and 18 papers in Genetics. Recurrent topics in Anup Singh's work include Advanced MRI Techniques and Applications (47 papers), MRI in cancer diagnosis (41 papers) and Lanthanide and Transition Metal Complexes (30 papers). Anup Singh is often cited by papers focused on Advanced MRI Techniques and Applications (47 papers), MRI in cancer diagnosis (41 papers) and Lanthanide and Transition Metal Complexes (30 papers). Anup Singh collaborates with scholars based in India, United States and Qatar. Anup Singh's co-authors include Mohammad Haris, Ravinder Reddy, Hari Hariharan, Kejia Cai, Feliks Kogan, Rakesh K. Gupta, Ravi Prakash Reddy Nanga, John A. Detre, Joel Greenberg and Catherine DeBrosse and has published in prestigious journals such as Journal of the American Chemical Society, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Anup Singh

107 papers receiving 4.1k citations

Hit Papers

Magnetic resonance imaging of glutamate 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anup Singh India 32 2.6k 2.0k 800 378 329 113 4.1k
Hari Hariharan United States 33 2.8k 1.1× 2.2k 1.1× 990 1.2× 265 0.7× 210 0.6× 61 3.9k
Kejia Cai United States 29 2.3k 0.9× 1.9k 0.9× 839 1.0× 207 0.5× 214 0.7× 81 3.2k
Kannie W. Y. Chan United States 34 2.0k 0.8× 2.1k 1.1× 710 0.9× 573 1.5× 443 1.3× 100 3.5k
Guanshu Liu United States 43 2.6k 1.0× 2.7k 1.4× 902 1.1× 746 2.0× 755 2.3× 107 4.7k
Christian T. Farrar United States 32 1.2k 0.5× 1.5k 0.7× 473 0.6× 762 2.0× 1.1k 3.3× 73 4.1k
Gregory M. Palmer United States 33 1.4k 0.5× 1.2k 0.6× 552 0.7× 1.8k 4.7× 673 2.0× 89 4.3k
Amnon Bar‐Shir Israel 30 1.1k 0.4× 1.0k 0.5× 367 0.5× 321 0.8× 310 0.9× 70 2.1k
Michael T. McMahon United States 48 3.6k 1.4× 4.2k 2.1× 1.5k 1.9× 1.1k 2.8× 1.1k 3.5× 124 7.1k
Daniel Paech Germany 29 2.2k 0.9× 1.2k 0.6× 375 0.5× 232 0.6× 96 0.3× 123 2.9k
Phillip Zhe Sun United States 41 3.9k 1.5× 3.7k 1.8× 1.8k 2.2× 233 0.6× 144 0.4× 116 4.7k

Countries citing papers authored by Anup Singh

Since Specialization
Citations

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

Fields of papers citing papers by Anup Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anup Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Anup Singh. A scholar is included among the top collaborators of Anup Singh 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 Anup Singh. Anup Singh 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
1.
Gupta, Rakesh Kumar, et al.. (2025). Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network. AI. 6(1). 15–15. 1 indexed citations
2.
Singh, Anup, et al.. (2024). Decoding the effect of different tumor heterogeneities on thermosensitive liposome drug delivery during radiofrequency ablation: A novel heat and mass transfer perspective. International Communications in Heat and Mass Transfer. 153. 107390–107390. 8 indexed citations
3.
Singh, Anup, Soumya Jagannath Mahapatra, Deepak Gunjan, et al.. (2024). Utility of dual-energy CT and advanced multiparametric MRI based imaging biomarkers of pancreatic fibrosis in grading the severity of chronic pancreatitis. Abdominal Radiology. 49(10). 3528–3539. 2 indexed citations
4.
Gupta, Rakesh K., et al.. (2024). Deep learning-based segmentation of left ventricular myocardium on dynamic contrast-enhanced MRI: a comprehensive evaluation across temporal frames. International Journal of Computer Assisted Radiology and Surgery. 19(10). 2055–2062. 1 indexed citations
5.
Kumar, Anand, et al.. (2023). Highlighting the effect of heterogeneous blood perfusion on radio-frequency ablation of human brain tumors: An image-based numerical investigation. International Journal of Thermal Sciences. 189. 108283–108283. 8 indexed citations
6.
Shah, Tejas, et al.. (2023). Comparison of 2D- and 3D-generated Radiomics feature maps in glioblastoma tissue subtypes segmented from DCE perfusion MRI. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
7.
Gupta, Rakesh K., et al.. (2021). Penumbra quantification from MR SWI‐DWI mismatch and its comparison with MR ASL PWI‐DWI mismatch in patients with acute ischemic stroke. NMR in Biomedicine. 34(7). e4526–e4526. 12 indexed citations
8.
Hariharan, Hari, et al.. (2020). Glutamate-Weighted CEST Contrast After Removal of Magnetization Transfer Effect in Human Brain and Rat Brain with Tumor. Molecular Imaging and Biology. 22(4). 1087–1101. 15 indexed citations
9.
Wall, James, et al.. (2019). A pilot study of venous flow augmentation using a novel mechanical graded intermittent sequential compression device for venous insufficiency. Journal of Vascular Surgery Venous and Lymphatic Disorders. 7(2). 217–221. 9 indexed citations
11.
Bagga, Puneet, Stephen Pickup, Rachelle Crescenzi, et al.. (2018). In vivo GluCEST MRI: Reproducibility, background contribution and source of glutamate changes in the MPTP model of Parkinson’s disease. Scientific Reports. 8(1). 2883–2883. 37 indexed citations
12.
Saini, Jitender, Pradeep Kumar Gupta, Ashish Awasthi, et al.. (2018). Multiparametric imaging-based differentiation of lymphoma and glioblastoma: using T1-perfusion, diffusion, and susceptibility-weighted MRI. Clinical Radiology. 73(11). 986.e7–986.e15. 29 indexed citations
13.
Haris, Mohammad, Santosh K. Yadav, Arshi Rizwan, et al.. (2015). Molecular magnetic resonance imaging in cancer. Journal of Translational Medicine. 13(1). 313–313. 74 indexed citations
14.
Haris, Mohammad, Santosh K. Yadav, Arshi Rizwan, et al.. (2015). T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease. NeuroImage Clinical. 7. 598–604. 27 indexed citations
15.
Singh, Anup, Mohammad Haris, Kejia Cai, et al.. (2015). T1ρ MRI of healthy and fibrotic human livers at 1.5 T. Journal of Translational Medicine. 13(1). 292–292. 41 indexed citations
16.
Singh, Anup, Mohammad Haris, Kejia Cai, et al.. (2014). High Resolution T1ρ Mapping of In Vivo Human Knee Cartilage at 7T. PLoS ONE. 9(5). e97486–e97486. 42 indexed citations
17.
Agrawal, Sushma, et al.. (2012). An exploratory study into the role of dynamic contrast-enhanced (DCE) MRI metrics as predictors of response in head and neck cancers. Clinical Radiology. 67(9). e1–e5. 28 indexed citations
19.
Haris, Mohammad, Nuzhat Husain, Anup Singh, et al.. (2008). Dynamic Contrast-Enhanced Derived Cerebral Blood Volume Correlates Better With Leak Correction Than With No Correction for Vascular Endothelial Growth Factor, Microvascular Density, and Grading of Astrocytoma. Journal of Computer Assisted Tomography. 32(6). 955–965. 31 indexed citations
20.
Singh, Anup & Birendra K. Sinha. (2006). Seroprevalence of infectious bovine rhinotracheitis (IBR) in cattle in Bihar. Indian Journal of Comparative Microbiology Immunology and Infectious Diseases. 27(2). 107–108. 4 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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