Arvind Rai

525 citations
20 papers · 401 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology

Papers in

    • Liver Disease Diagnosis and Treatment 2
    • Organ Transplantation Techniques and Outcomes 2

Arvind Rai

19 papers receiving 383 citations

Peers

Arvind Rai
Comparison fields: 5 of 58
  • Hepatology 110
  • Infectious Diseases 175
  • Public Health, Environmental and Occupational Health 158
  • Virology 17
  • Parasitology 13
Replace Gisèle Lagathu with:
Gisèle Lagathu France
Marzieh Jamalidoust Iran
Zainah Saat Malaysia
A. R. Diwan United States
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Dennis Armando Bertolini Brazil
Simon K. F. Lo Hong Kong
Mala Rakoto‐Andrianarivelo Madagascar
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Rai

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2009137
2 200893
3 199952
4 200851
5 201121
6 201713
7 20138
8 20137
9 20165
10 20163
11 20212
12 20212
13
Lymphoid Enhancing Factor-1(lef-1) Gene Mutation and Its Differential mRNA Expression in Eyelid Sebaceous Carcinoma
20121
14 20201
15 20201
16 20211
17 20151
18 20211
19 20161
20 20200

About Arvind Rai

Arvind Rai is a scholar working on Epidemiology, Surgery, Hepatology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 20 papers that have together received 401 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (3 papers), Liver Disease Diagnosis and Treatment (2 papers), HIV/AIDS drug development and treatment (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Liver Disease and Transplantation (2 papers), HIV Research and Treatment (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hepatology (110 citations), Infectious Diseases (175 citations), Public Health, Environmental and Occupational Health (158 citations), Virology (17 citations) and Parasitology (13 citations). Arvind Rai has collaborated with scholars based in India. Frequent co-authors include D Bhattacharya, Veena Mittal, Mala Chhabra, Premashis Kar, Shiv Lal, Himani Kukreti, Syed Akhtar Husain, Bhudev C. Das, Parag Saxena and Manmohan Parida. Their work appears in journals such as Journal of Clinical Virology, The American Journal of Gastroenterology, International Journal of Infectious Diseases, Archives of Virology and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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