Deepak Bhayana

414 citations
17 papers · 302 indexed · h-index 9
Topics
Liver Disease Diagnosis and Treatment (6 papers)Hepatocellular Carcinoma Treatment and Prognosis (5 papers)Liver Disease and Transplantation (3 papers)

In The Last Decade

Deepak Bhayana

16 papers receiving 294 citations

Peers

Deepak Bhayana
Comparison fields: 5 of 45
  • Hepatology 168
  • Epidemiology 133
  • Surgery 101
  • Radiology, Nuclear Medicine and Imaging 86
  • Biomedical Engineering 35
Replace Nam Yeol Yim with:
Nam Yeol Yim South Korea
Alessio Comai Italy
E Baldini France
Kohzoh Makita Japan
Roberto Lobianco Italy
Jonathan Revels United States
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Chak-Yu So Hong Kong
Ounali Jaffer United Kingdom
Deepak Bhayana relative to Nam Yeol Yim South Korea Nam Yeol Yim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Deepak Bhayana

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Bhayana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Bhayana

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Bhayana. A scholar is included among the top collaborators of Deepak Bhayana based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepak Bhayana. Deepak Bhayana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 6
3 24
4 8
5 28
6 1
7 6
8 1
9 14
10 61
11 8
12 8
13 2
14 2
15 107
16 11
17
The spectrum of ulnar collateral ligament injuries as viewed on magnetic resonance imaging of the metacarpophalangeal joint of the thumb.
15

About Deepak Bhayana

Deepak Bhayana is a scholar working on Hepatology, Internal Medicine and Obstetrics and Gynecology, having authored 17 papers that have together received 302 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Hepatology (168 citations), Internal Medicine (15 citations) and Epidemiology (133 citations). Deepak Bhayana has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Stephanie R. Wilson, Hyun‐Jung Jang, Tae Kyoung Kim, Peter N. Burns, Kelly W. Burak, Jinghui Hu, Kartik Jhaveri, Caroline Reinhold, Silvia D. Chang and Fady Balaa. Their work appears in journals such as Journal of Hepatology, American Journal of Roentgenology and BJOG An International Journal of Obstetrics & Gynaecology.

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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