Gaurav Roy

10.3k citations
15 papers · 99 · h-index 6

Impact in

Papers in

Gaurav Roy

13 papers receiving 93 citations

Peers

Gaurav Roy
Comparison fields: 5 of 38
  • Hepatology 37
  • Otorhinolaryngology 15
  • Epidemiology 44
  • General Dentistry 2
  • Virology 5
Replace Hirotoshi Sugino with:
Hirotoshi Sugino Japan
Alessia Dalla Pria United Kingdom
Maximilian Stich Germany
Hannah K. Jackson United Kingdom
Lei Hua United States
Natalia Fonseca do Rosário Brazil
The Lancet Gastroenterology Hepatology
Konstantinos Ritis Greece
Marco Canzoni Italy
Toyokichi Muro Japan
Gaurav Roy relative to Hirotoshi Sugino Japan Hirotoshi Sugino's profile →
Citations per field
00.5×10×13×
Hirotoshi Sugino · 1×
Citations per year

Countries citing papers authored by Gaurav Roy

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201431
2 201218
3 201415
4
Research as a tool for the teaching of epidemiology.
19947
5
Relationship between Echocardiographic Epicardial Adipose Tissue (EAT) Thickness and Angiographically Detected Coronary Artery Disease.
20176
6 20176
7 20013
8 20163
9 20213
10
Mass Screening of Apolipoprotein B May Detect Young People at Risk of Acute Coronary Syndrome.
20162
11 20182
12 20192
13 20191
14 20210
15 20210

About Gaurav Roy

Gaurav Roy is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Virology and Oncology, having authored 15 papers that have together received 99 indexed citations. Recurring topics across this work include HIV Research and Treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), Hepatitis B Virus Studies (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), HIV/AIDS drug development and treatment (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Hepatology (37 citations), Otorhinolaryngology (15 citations), Epidemiology (44 citations), General Dentistry (2 citations) and Virology (5 citations). Gaurav Roy has collaborated with scholars based in India, Canada and Bangladesh. Frequent co-authors include Mohammad Husain, Mausumi Bharadwaj, Subhash Gupta, Showket Hussain, Simanti Datta, Alip Ghosh, Analabha Basu, Kausik Das, D K Srinivasa and Debanjali Dasgupta. Their work appears in journals such as International Journal of Surgery, Archives of Virology, The International Journal of Biological Markers, Medical Teacher and PLoS ONE.

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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