Pradip Devhare

1.0k citations
17 papers · 749 · h-index 13

Impact in

  • Hepatology top 2%
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • MicroRNA in disease regulation

Papers in

    • Hepatitis Viruses Studies and Epidemiology 6
    • Hepatitis C virus research 4
    • Liver Disease and Transplantation 2
    • Hepatitis B Virus Studies 4

Pradip Devhare

17 papers receiving 744 citations

Peers

Pradip Devhare
Comparison fields: 5 of 70
  • Hepatology 280
  • Cancer Research 162
  • Infectious Diseases 152
  • Epidemiology 258
  • Molecular Biology 309
Replace Kaitao Zhao with:
Kaitao Zhao China
Yifang Han China
Cheng-Fu Kuo United States
Philipp Schult Germany
Johannes Schwerk United States
Masaaki Okamoto Japan
Takahisa Kouwaki Japan
Paul Masendycz Australia
Catherine Sodroski United States
Ramya Nandakumar Germany
Pradip Devhare relative to Kaitao Zhao China Kaitao Zhao's profile →
Citations per field
00.5×11.3×
Kaitao Zhao · 1×
Citations per year

Countries citing papers authored by Pradip Devhare

Since Specialization
Citations

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

Fields of papers citing papers by Pradip Devhare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017169
2 2015120
3 201797
4 201366
5 201766
6 201765
7 201635
8 201823
9 201722
10 201619
11 201418
12 201617
13 201116
14 20219
15 20204
16 20202
17 20201

About Pradip Devhare

Pradip Devhare is a scholar working on Hepatology, Epidemiology, Cancer Research, Molecular Biology and Infectious Diseases, having authored 17 papers that have together received 749 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (6 papers), Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers), Circular RNAs in diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Liver Disease and Transplantation (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Hepatology (280 citations), Cancer Research (162 citations), Infectious Diseases (152 citations), Epidemiology (258 citations) and Molecular Biology (309 citations). Pradip Devhare has collaborated with scholars based in United States and India. Frequent co-authors include Ratna B. Ray, Ranjit Ray, Reina Sasaki, Robert Steele, Shubham Shrivastava, Kavita S. Lole, Adrian M. Di Bisceglie, Vidya A. Arankalle, Ranjit Ray and Nanthiya Sujijantarat. Their work appears in journals such as Journal of Virology, Journal of Clinical Oncology, Hepatology, Gene Expression and Virus 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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