Ratna B. Ray

13.6k citations
177 papers · 10.5k indexed · 1 hit paper · h-index 63

Impact in

  • Hepatology top 0.1%
    • Hepatitis C virus research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Hepatitis C virus research 59
    • Cancer-related molecular mechanisms research 17
    • MicroRNA in disease regulation 14

Ratna B. Ray

173 papers receiving 10.3k citations

Hit Papers

Functions of autophagy in normal and diseased liver 2013 · 373 citations
3732013202620172021100200300

Peers

Ratna B. Ray
Comparison fields: 5 of 134
  • Hepatology 3.5k
  • Cancer Research 2.0k
  • Epidemiology 4.0k
  • Immunology 1.7k
  • Molecular Biology 4.6k
Replace Tetsuo Takehara with:
Tetsuo Takehara Japan
Naoya Sakamoto Japan
Massimo Levrero Italy
Chau‐Ting Yeh Taiwan
Naoya Kato Japan
Curt H. Hagedorn United States
Michael C. Kew South Africa
Jing‐hsiung James Ou United States
Claus Hellerbrand Germany
Tatsuya Kanto Japan
Ratna B. Ray relative to Tetsuo Takehara Japan Tetsuo Takehara's profile →
Citations per field
00.5×1.5×
Tetsuo Takehara · 1×
Citations per year

Countries citing papers authored by Ratna B. Ray

Since Specialization
Citations

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

Fields of papers citing papers by Ratna B. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 202215
4 2020148
5 201815
6 2017167
7 201453
8
Functions of autophagy in normal and diseased liver
Hit paper breakdown →
2013373
9 201314
10 2010171
11 200922
12 200745
13 200664
14 200522
15 200445
16 200233
17 2001127
18 200074
19 199219
20 1989113

About Ratna B. Ray

Ratna B. Ray is a scholar working on Hepatology, Cancer Research, Immunology, Epidemiology and Molecular Biology, having authored 177 papers that have together received 10.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (59 papers), Hepatitis B Virus Studies (24 papers), RNA modifications and cancer (20 papers), Cancer-related molecular mechanisms research (17 papers), Liver Disease Diagnosis and Treatment (17 papers), interferon and immune responses (16 papers), Ubiquitin and proteasome pathways (14 papers) and MicroRNA in disease regulation (14 papers). The work is most often cited by research in Hepatology (3.5k citations), Cancer Research (2.0k citations), Epidemiology (4.0k citations), Immunology (1.7k citations) and Molecular Biology (4.6k citations). Ratna B. Ray has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Robert Steele, Keith Meyer, Ranjit Ray, Ranjit Ray, Shubham Shrivastava, Ranjit Ray, Asish K. Ghosh, Donald M. Miller, Adrian M. Di Bisceglie and Pradip Devhare. Their work appears in journals such as Journal of Virology, Virology, Journal of Biological Chemistry, Hepatology and Cancer Research.

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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