Anuj Patel

1.2k citations
31 papers · 319 · h-index 8

Impact in

    • Pancreatic and Hepatic Oncology Research
    • Peptidase Inhibition and Analysis
    • Colorectal Cancer Treatments and Studies
    • Cholangiocarcinoma and Gallbladder Cancer Studies
    • Pediatric Hepatobiliary Diseases and Treatments

Papers in

    • Colorectal Cancer Treatments and Studies 7
    • Pancreatic and Hepatic Oncology Research 3
    • Cancer Treatment and Pharmacology 2
    • Cholangiocarcinoma and Gallbladder Cancer Studies 4

Anuj Patel

26 papers receiving 317 citations

Peers

Anuj Patel
Comparison fields: 5 of 64
  • Oncology 177
  • Surgery 183
  • Pathology and Forensic Medicine 72
  • Hepatology 31
  • Health Informatics 5
Replace Yu Nakaji with:
Yu Nakaji Japan
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Sune Høirup Petersen Denmark
P Demetter Belgium
Emily E. Van Seventer United States
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Anuj Patel relative to Yu Nakaji Japan Yu Nakaji's profile →
Citations per field
00.5×1.5×
Yu Nakaji · 1×
Citations per year

Countries citing papers authored by Anuj Patel

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018108
2 202357
3 201931
4 201331
5 201419
6 201818
7 201913
8 202112
9 20175
10 20175
11 20252
12 20222
13 20182
14 20162
15 20221
16 20241
17 20201
18 20191
19 20231
20 20211

About Anuj Patel

Anuj Patel is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Family Practice, having authored 31 papers that have together received 319 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Economic and Financial Impacts of Cancer (3 papers), Cancer Genomics and Diagnostics (3 papers), Medication Adherence and Compliance (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer Treatment and Pharmacology (2 papers) and Innovations in Medical Education (2 papers). The work is most often cited by research in Oncology (177 citations), Surgery (183 citations), Pathology and Forensic Medicine (72 citations), Hepatology (31 citations) and Health Informatics (5 citations). Anuj Patel has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Weijing Sun, Daniel P. Normolle, James Ohr, Edward Chu, James J. Lee, Krishna Patel, Nathan Bahary, Victoria Barghout, Mei Sheng Duh and Charles S. Fuchs. Their work appears in journals such as Journal of Clinical Oncology, The Oncologist, JAMA, Cancer and Research and Practice in Thrombosis and Haemostasis.

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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