Aashish Patel

791 citations
19 papers · 477 indexed · h-index 12

Impact in

  • Surgery top 10%
    • Pancreatitis Pathology and Treatment
    • Intestinal Malrotation and Obstruction Disorders
    • Pediatric Hepatobiliary Diseases and Treatments
    • Gastrointestinal disorders and treatments
    • Adrenal and Paraganglionic Tumors
    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging

Papers in

Aashish Patel

17 papers receiving 465 citations

Peers

Aashish Patel
Comparison fields: 5 of 50
  • Surgery 295
  • Radiology, Nuclear Medicine and Imaging 110
  • Oncology 118
  • Pulmonary and Respiratory Medicine 138
  • Hepatology 29
Replace Ejona Duka with:
Ejona Duka Italy
Nikolay Yefremov Israel
Venanzio Porziella Italy
Akash Sharma United States
M J Lee United States
Laurence F. Yee United States
Bruno Cola Italy
Toyohiro Ota Japan
Dania Nachira Italy
Peter Bliss United Kingdom
Aashish Patel relative to Ejona Duka Italy Ejona Duka's profile →
Citations per field
00.5×3.6×
Ejona Duka · 1×
Citations per year

Countries citing papers authored by Aashish Patel

Since Specialization
Citations

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

Fields of papers citing papers by Aashish Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Aashish Patel, 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 Aashish Patel Line = papers co-authored together Aashish Patel links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20227
2 20210
3 202117
4 20205
5 20171
6 20150
7 20142
8 201417
9 20147
10 201322
11 201324
12 2012102
13 201211
14 201229
15 201146
16 201122
17 201145
18 200983
19 200737

About Aashish Patel

Aashish Patel is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Oncology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 19 papers that have together received 477 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Pancreatitis Pathology and Treatment (4 papers), Renal cell carcinoma treatment (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Renal and related cancers (2 papers), Esophageal and GI Pathology (2 papers) and Gallbladder and Bile Duct Disorders (2 papers). The work is most often cited by research in Surgery (295 citations), Radiology, Nuclear Medicine and Imaging (110 citations), Oncology (118 citations), Pulmonary and Respiratory Medicine (138 citations) and Hepatology (29 citations). Aashish Patel has collaborated with scholars based in United States, Japan and Kazakhstan. Frequent co-authors include Kumaresan Sandrasegaran, Fatih Akisik, Chandana Lall, Evan L. Fogel, Temel Tirkes, Henry A. Pitt, Nicholas J. Zyromski, Mark Tann, Juan Tejada and John C. Lappas. Their work appears in journals such as American Journal of Roentgenology, Journal of Endourology, Clinical Radiology, Abdominal Radiology and Insights into 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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