Chandrakanth Are

8.7k citations
146 papers · 4.4k indexed · 1 hit paper · h-index 34

Impact in

  • Hepatology top 0.5%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 1%
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Treatments and Studies

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 23
    • Pancreatic and Hepatic Oncology Research 42

Chandrakanth Are

134 papers receiving 4.3k citations

Hit Papers

PI3K/Akt/mTOR Signaling Pathway as a Target for Colorectal Cancer Treatment 2024 · 70 citations
70202420262025204060

Peers

Chandrakanth Are
Comparison fields: 5 of 137
  • Hepatology 1.0k
  • Oncology 2.0k
  • Cancer Research 579
  • Surgery 1.7k
  • Gender Studies 339
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Chandrakanth Are relative to Diamantis I. Tsilimigras United States Diamantis I. Tsilimigras's profile →
Citations per field
00.5×50×100×150×213×
Diamantis I. Tsilimigras · 1×
Citations per year

Countries citing papers authored by Chandrakanth Are

Since Specialization
Citations

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

Fields of papers citing papers by Chandrakanth Are

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2
PI3K/Akt/mTOR Signaling Pathway as a Target for Colorectal Cancer Treatment
Hit paper breakdown →
202470
3 20210
4 20212
5 202120
6 20216
7 20212
8 202111
9 20190
10 20194
11 20192
12 2016121
13 20134
14 201113
15 201176
16 200927
17 2008158
18 200519
19 20034
20 200361

About Chandrakanth Are

Chandrakanth Are is a scholar working on Hepatology, Oncology, Gender Studies, Public Health, Environmental and Occupational Health and Surgery, having authored 146 papers that have together received 4.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (42 papers), Hepatocellular Carcinoma Treatment and Prognosis (23 papers), Advances in Oncology and Radiotherapy (22 papers), Global Health and Surgery (21 papers), Diversity and Career in Medicine (18 papers), Innovations in Medical Education (15 papers), Gastric Cancer Management and Outcomes (14 papers) and Surgical Simulation and Training (13 papers). The work is most often cited by research in Hepatology (1.0k citations), Oncology (2.0k citations), Cancer Research (579 citations), Surgery (1.7k citations) and Gender Studies (339 citations). Chandrakanth Are has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Ashok R. Shaha, Yuman Fong, Lynette M. Smith, Mashaal Dhir, William R. Jarnagin, Ronald P. DeMatteo, Advaitaa Ravipati, Leslie H. Blumgart, Mithat Gönen and Michael I. D’Angelica. Their work appears in journals such as Journal of Surgical Oncology, Annals of Surgical Oncology, Annals of Surgery, The American Journal of Surgery and HPB.

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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