Anuj Patel

1.2k citations
31 papers · 332 · h-index 8

Impact in

    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Treatments and Studies
    • Peptidase Inhibition and Analysis

Papers in

    • Colorectal Cancer Treatments and Studies 6
    • Cancer Treatment and Pharmacology 2
    • Pancreatic and Hepatic Oncology Research 2
    • Cholangiocarcinoma and Gallbladder Cancer Studies 4

Anuj Patel

27 papers receiving 330 citations

Peers

Anuj Patel
Comparison fields: 5 of 56
  • Oncology 135
  • Health Informatics 6
  • Surgery 180
  • Hepatology 23
  • Pathology and Forensic Medicine 44
Replace Chaoyang Gu with:
Chaoyang Gu China
Zongming Eric Chen United States
Stephanie Taha‐Mehlitz Switzerland
Osamu Nakahara Japan
Masanori Kotake Japan
Annelies Schnider Switzerland
Mitsuru Yokota Japan
Vetri Sudar Jayaprakasam United States
B. Schuell Austria
Joan Llach Spain
Anuj Patel relative to Chaoyang Gu China Chaoyang Gu's profile →
Citations per field
00.5×4.4×
Chaoyang Gu · 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 2018109
2 202361
3 201932
4 201331
5 201419
6 201818
7 201914
8 202113
9 20175
10 20175
11 20223
12 20163
13 20242
14 20262
15 20182
16 20252
17 20221
18 20191
19 20211
20 20221

About Anuj Patel

Anuj Patel is a scholar working on Oncology, Surgery, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 31 papers that have together received 332 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Mechanisms and Therapy (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). The work is most often cited by research in Oncology (135 citations), Health Informatics (6 citations), Surgery (180 citations), Hepatology (23 citations) and Pathology and Forensic Medicine (44 citations). Anuj Patel has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Weijing Sun, Krishna Patel, James Ohr, Edward Chu, James J. Lee, Nathan Bahary, Daniel P. Normolle, Victoria Barghout, Mei Sheng Duh and Harold A. Fogel. Their work appears in journals such as Journal of Clinical Oncology, The Oncologist, Neuro-Oncology, The Spine Journal and Clinical Colorectal Cancer.

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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