Ranjit Ray

4.9k citations
70 papers · 3.6k indexed · h-index 33

Impact in

  • Hepatology top 0.2%
    • Hepatitis C virus research
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis C virus research 50
    • Hepatitis B Virus Studies 30
    • Liver Disease Diagnosis and Treatment 8

Ranjit Ray

68 papers receiving 3.5k citations

Peers

Ranjit Ray
Comparison fields: 5 of 105
  • Hepatology 2.2k
  • Epidemiology 1.9k
  • Virology 225
  • Immunology 677
  • Infectious Diseases 517
Replace Keith Meyer with:
Keith Meyer United States
Sharookh B. Kapadia United States
Soon B. Hwang South Korea
Shiu‐Wan Chan United Kingdom
T. Jake Liang United States
Michio Imamura Japan
Artur Kaul Germany
Fritz von Weizsäcker Germany
Anne Op De Beeck Belgium
Tomoko Date Japan
Ranjit Ray relative to Keith Meyer United States Keith Meyer's profile →
Citations per field
00.5×1.5×
Keith Meyer · 1×
Citations per year

Countries citing papers authored by Ranjit Ray

Since Specialization
Citations

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

Fields of papers citing papers by Ranjit Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20246
3 202323
4 20234
5 20216
6 2020148
7 20175
8 201314
9 201122
10 201162
11 2010193
12 200875
13 200745
14 200647
15 200530
16 200423
17 200246
18 200152
19 200048
20 1998201

About Ranjit Ray

Ranjit Ray is a scholar working on Hepatology, Epidemiology, Virology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hepatitis C virus research (50 papers), Hepatitis B Virus Studies (30 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), interferon and immune responses (11 papers), Liver Disease Diagnosis and Treatment (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Cancer-related Molecular Pathways (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Hepatology (2.2k citations), Epidemiology (1.9k citations), Virology (225 citations), Immunology (677 citations) and Infectious Diseases (517 citations). Ranjit Ray has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Keith Meyer, Ratna B. Ray, Robert Steele, Martin Lagging, Arnab Basu, Asish K. Ghosh, Mainak Majumder, Anju Shrivastava, Bharat B. Aggarwal and Tatsuo Kanda. Their work appears in journals such as Journal of Virology, Virology, Hepatology, Virus Research and The Journal of Infectious Diseases.

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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