Amish Doshi

3.6k total citations · 2 hit papers
63 papers, 2.6k citations indexed

About

Amish Doshi is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Neurology. According to data from OpenAlex, Amish Doshi has authored 63 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Surgery and 14 papers in Neurology. Recurrent topics in Amish Doshi's work include Spine and Intervertebral Disc Pathology (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Amish Doshi is often cited by papers focused on Spine and Intervertebral Disc Pathology (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Amish Doshi collaborates with scholars based in United States, United Kingdom and India. Amish Doshi's co-authors include Ming Lei, Michael J. Eck, Stephen C. Harrison, Wenqing Xu, Lihui Luo, Stephen C. Pflugfelder, William J. Farley, Rosa M. Corrales, De‐Quan Li and Bradley N. Delman and has published in prestigious journals such as Journal of Clinical Oncology, Molecular Cell and Neurology.

In The Last Decade

Amish Doshi

60 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Crystal Structures of c-Src Reveal Features of Its Autoinhibitory Mechanism

1999 712 citations Amish Doshi et al. profile →
Experimental Dry Eye Stimulates Production of Inflammatory Cytokines and MMP-9 and Activates MAPK Signaling Pathways on the Ocular Surface

2004 503 citations Lihui Luo, Amish Doshi et al. Investigative Ophthalmology & Visual Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amish Doshi United States	20	629	604	595	467	413	63	2.6k
Roelien H. Enting Netherlands	25	659 1.0×	471 0.8×	594 1.0×	170 0.4×	935 2.3×	72	3.3k
John Curnow United Kingdom	34	383 0.6×	655 1.1×	438 0.7×	415 0.9×	277 0.7×	95	4.2k
Barry Pizer United Kingdom	36	952 1.5×	1.4k 2.3×	321 0.5×	578 1.2×	766 1.9×	192	4.5k
Suzanne Z. Powell United States	33	1.2k 1.9×	822 1.4×	375 0.6×	329 0.7×	313 0.8×	126	3.7k
Robert M. Verdijk Netherlands	36	478 0.8×	1.2k 2.0×	446 0.7×	198 0.4×	340 0.8×	194	4.7k
P. Martin van Hagen Netherlands	37	573 0.9×	705 1.2×	538 0.9×	75 0.2×	425 1.0×	134	3.6k
Lixin Zhou China	26	565 0.9×	574 1.0×	319 0.5×	185 0.4×	618 1.5×	146	2.7k
Ho Jin Kim South Korea	41	3.4k 5.4×	654 1.1×	330 0.6×	165 0.4×	322 0.8×	172	5.9k
Suyash Mohan United States	29	517 0.8×	170 0.3×	1.2k 2.0×	117 0.3×	357 0.9×	153	2.8k
Jon Glass United States	27	1.0k 1.7×	382 0.6×	400 0.7×	69 0.1×	571 1.4×	68	2.8k

Countries citing papers authored by Amish Doshi

Since Specialization

Citations

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

Fields of papers citing papers by Amish Doshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amish Doshi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tordjman, Mickaël, Murat Yüce, Giuseppe Petralia, et al.. (2025). Comparison of MRI, [18F]FDG-PET/CT, and [18F]FDG-PET/MRI for Initial Staging of Multiple Myeloma. Clinical Nuclear Medicine. 50(11). 1006–1015.

Liu, Zelong, Anthony Yang, P. Choi, et al.. (2024). MRAnnotator: multi-anatomy and many-sequence MRI segmentation of 44 structures. PubMed. 2(1). umae035–umae035. 1 indexed citations

Yang, Anthony, et al.. (2024). Impact of Deep Learning Image Reconstruction Methods on MRI Throughput. Radiology Artificial Intelligence. 6(3). e230181–e230181. 10 indexed citations

Wintermark, Max, Jason W. Allen, Amish Doshi, et al.. (2024). Academic Neuroradiology: 2023 Update on Turnaround Time, Financial Recruitment, and Retention Strategies. American Journal of Neuroradiology. 45(11). 1621–1623.

Mei, Xueyan, Zelong Liu, Philip M. Robson, et al.. (2022). RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning. Radiology Artificial Intelligence. 4(5). e210315–e210315. 149 indexed citations

Belani, Puneet, Aichi Chien, Amish Doshi, et al.. (2022). Differential Subsampling with Cartesian Ordering–MRA for Classifying Residual Treated Aneurysms. American Journal of Neuroradiology. 43(6). 887–892. 1 indexed citations

Leacy, Reade De, Devin Bageac, Sayan Manna, et al.. (2021). A Radiologic Grading System for Assessing the Radiographic Outcome of Treatment in Lymphatic and Lymphatic-Venous Malformations of the Head and Neck. American Journal of Neuroradiology. 42(10). 1859–1864. 7 indexed citations

Leiby, Benjamin E., James S. Harrop, Lubdha M. Shah, et al.. (2021). Validation of the National Institute of Neurological Disorders and Stroke Spinal Cord Injury MRI Common Data Elements Instrument. American Journal of Neuroradiology. 42(4). 787–793. 4 indexed citations

Kihira, Shingo, Keon Mahmoudi, Xueyan Mei, et al.. (2020). Combination of Imaging Features and Clinical Biomarkers Predicts Positive Pathology and Microbiology Findings Suggestive of Spondylodiscitis in Patients Undergoing Image-Guided Percutaneous Biopsy. American Journal of Neuroradiology. 41(7). 1316–1322. 8 indexed citations

10.

Phillips, C. Douglas, et al.. (2020). From the Eye of the Storm: Multi-Institutional Practical Perspectives on Neuroradiology from the COVID-19 Outbreak in New York City. American Journal of Neuroradiology. 41(6). 960–965. 15 indexed citations

11.

Kihira, Shingo, Bradley N. Delman, Puneet Belani, et al.. (2020). Imaging Features of Acute Encephalopathy in Patients with COVID-19: A Case Series. American Journal of Neuroradiology. 41(10). 1804–1808. 29 indexed citations

12.

Mahmoudi, Keon, Shingo Kihira, Jonathan Goldstein, et al.. (2020). Body Mass Index Correlates with Skin to Spinal Canal Distance: A Large Retrospective Single‐Center Study. Journal of Neuroimaging. 30(6). 896–900. 4 indexed citations

13.

Belani, Puneet, Javin Schefflein, Shingo Kihira, et al.. (2020). COVID-19 Is an Independent Risk Factor for Acute Ischemic Stroke. American Journal of Neuroradiology. 41(8). 1361–1364. 129 indexed citations

14.

Kihira, Shingo, et al.. (2020). Reduction of Radiation Dose and Scanning Time While Preserving Diagnostic Yield: A Comparison of Battery-Powered and Manual Bone Biopsy Systems. American Journal of Neuroradiology. 41(3). 387–392. 5 indexed citations

15.

Nael, Kambiz, Ehsan Tadayon, Danielle Wheelwright, et al.. (2019). Defining Ischemic Core in Acute Ischemic Stroke Using CT Perfusion: A Multiparametric Bayesian-Based Model. American Journal of Neuroradiology. 40(9). 1491–1497. 15 indexed citations

16.

Sundaram, Vandana, Danielle Wheelwright, Amit Aggarwal, et al.. (2019). Automated ASPECTS in Acute Ischemic Stroke: A Comparative Analysis with CT Perfusion. American Journal of Neuroradiology. 40(12). 2033–2038. 30 indexed citations

17.

Swinburne, Nathaniel, Nadejda M. Tsankova, Marco M. Hefti, et al.. (2018). Sequential Apparent Diffusion Coefficient for Assessment of Tumor Progression in Patients with Low-Grade Glioma. American Journal of Neuroradiology. 39(6). 1039–1046. 6 indexed citations

18.

Nael, Kambiz, Amish Doshi, Reade De Leacy, et al.. (2017). MR Perfusion to Determine the Status of Collaterals in Patients with Acute Ischemic Stroke: A Look Beyond Time Maps. American Journal of Neuroradiology. 39(2). 219–225. 20 indexed citations

19.

Mascitelli, Justin, Henry Moyle, Eric K. Oermann, et al.. (2014). An update to the Raymond–Roy Occlusion Classification of intracranial aneurysms treated with coil embolization. Journal of NeuroInterventional Surgery. 7(7). 496–502. 258 indexed citations

20.

Luo, Lihui, et al.. (2003). Experimental Dry Eye Induced Expression of Inflammatory Cytokines ( IL-1ß and TNF- ), MMP-9 and Activated MAPK by the Corneal Epithelium. Investigative Ophthalmology & Visual Science. 44(13). 1026–1026. 6 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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