Ankur M. Doshi

1.4k citations
60 papers · 997 · h-index 20

Impact in

Papers in

    • Renal cell carcinoma treatment 10
    • Prostate Cancer Diagnosis and Treatment 5
    • Digital Radiography and Breast Imaging 3
    • Radiology practices and education 8
    • MRI in cancer diagnosis 6
    • Radiomics and Machine Learning in Medical Imaging 6
    • Radiation Dose and Imaging 3
    • Advanced MRI Techniques and Applications 3

Ankur M. Doshi

60 papers receiving 976 citations

Peers

Ankur M. Doshi
Comparison fields: 5 of 99
  • Health Informatics 63
  • Radiology, Nuclear Medicine and Imaging 349
  • Pulmonary and Respiratory Medicine 285
  • Family Practice 11
  • Health Information Management 19
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Citations per field
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Citations per year

Countries citing papers authored by Ankur M. Doshi

Since Specialization
Citations

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

Fields of papers citing papers by Ankur M. Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ankur M. Doshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ankur M. Doshi Line = papers co-authored together Ankur M. Doshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019111
2 201559
3 201655
4 201551
5
Extraction and mapping of drug names from free text to a standardized nomenclature.
200744
6 202240
7 201635
8 201929
9 201428
10 201427
11 201826
12 201725
13 201624
14 201522
15 201620
16 201619
17 201519
18 201619
19 201819
20 201519

About Ankur M. Doshi

Ankur M. Doshi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, General Health Professions and Molecular Biology, having authored 60 papers that have together received 997 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (10 papers), Radiology practices and education (8 papers), MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Digital Radiography and Breast Imaging (3 papers), Radiation Dose and Imaging (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (63 citations), Radiology, Nuclear Medicine and Imaging (349 citations), Pulmonary and Respiratory Medicine (285 citations), Family Practice (11 citations) and Health Information Management (19 citations). Ankur M. Doshi has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Andrew B. Rosenkrantz, Michael P. Recht, Hersh Chandarana, James S. Babb, Justin Ream, Soterios Gyftopoulos, Samir S. Taneja, Dana J. Lin, Florian Knöll and Tatiane Cantarelli Rodrigues. Their work appears in journals such as Journal of the American College of Radiology, American Journal of Roentgenology, Academic Radiology, Abdominal Radiology and Journal of Magnetic Resonance Imaging.

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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