Arjun Takhar

1.6k citations
29 papers · 850 · h-index 14

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers

Papers in

Arjun Takhar

28 papers receiving 838 citations

Peers

Arjun Takhar
Comparison fields: 5 of 67
  • Hepatology 267
  • Oncology 276
  • Ophthalmology 61
  • Immunology 125
  • Gastroenterology 27
Replace Ken Kageyama with:
Ken Kageyama Japan
Larsolof Hafström Sweden
Shoichi Dowaki Japan
Gerry Gin Wai Kwok China
Wan-Yee Lau Hong Kong
Suzanne Fioravanti United States
John Stroehlein United States
Kosuke Tobita Japan
Federica De Galitiis Italy
Boris Galjart Netherlands
Arjun Takhar relative to Ken Kageyama Japan Ken Kageyama's profile →
Citations per field
00.5×5.4×
Ken Kageyama · 1×
Citations per year

Countries citing papers authored by Arjun Takhar

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Takhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006112
2 201683
3 201682
4 201573
5 201267
6 201764
7 200462
8 201455
9 201750
10 201337
11 201226
12 201521
13 200420
14 200418
15 202011
16 201510
17 200610
18 20208
19 20047
20 20227

About Arjun Takhar

Arjun Takhar is a scholar working on Oncology, Surgery, Epidemiology, Hepatology and Immunology, having authored 29 papers that have together received 850 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Neuroendocrine Tumor Research Advances (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cancer Genomics and Diagnostics (3 papers), Immune Cell Function and Interaction (3 papers), Digestive system and related health (2 papers), Metabolism and Genetic Disorders (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Hepatology (267 citations), Oncology (276 citations), Ophthalmology (61 citations), Immunology (125 citations) and Gastroenterology (27 citations). Arjun Takhar has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Mohammad Abu Hilal, Neil W. Pearce, Federica Cipriani, Anna M. Grabowska, Susan A. Watson, Mohamad El‐Zaatari, Thomas Armstrong, Thomas Armstrong, John Primrose and M. Rawashdeh. Their work appears in journals such as Pancreatology, Journal of Clinical Oncology, Journal of the Royal Society of Medicine, The Surgeon 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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