Arvinden VR

558 citations
9 papers · 35 · h-index 3

Impact in

Papers in

    • CRISPR and Genetic Engineering 2
    • Epigenetics and DNA Methylation 1
    • Hemoglobinopathies and Related Disorders 2
    • Genomics and Rare Diseases 1

Arvinden VR

7 papers receiving 34 citations

Peers

Arvinden VR
Comparison fields: 5 of 25
  • Infectious Diseases 17
  • Modeling and Simulation 4
  • Genetics 7
  • Hematology 5
  • Virology 2
Replace Armel L. Batchi‐Bouyou with:
Armel L. Batchi‐Bouyou Republic of the Congo
Ahad Al Seraihi Saudi Arabia
Maria Luiza Junqueira Brazil
N Joshi United Kingdom
Maria Isabel de Moraes Pinto Brazil
Laure Choupeaux France
Whitney Petrosa United States
María Iglesias United States
Aprajita Mattoo United States
Carla Longo de Freitas Brazil
Arvinden VR relative to Armel L. Batchi‐Bouyou Republic of the Congo Armel L. Batchi‐Bouyou's profile →
Citations per field
00.5×1.5×2×2.3×
Armel L. Batchi‐Bouyou · 1×
Citations per year

Countries citing papers authored by Arvinden VR

Since Specialization
Citations

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

Fields of papers citing papers by Arvinden VR

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 202118
2 20248
3 20233
4 20232
5 20222
6 20251
7 20241
8 20240
9 20250

About Arvinden VR

Arvinden VR is a scholar working on Molecular Biology, Genetics, Genetics, Infectious Diseases and Surgery, having authored 9 papers that have together received 35 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (2 papers), CRISPR and Genetic Engineering (2 papers), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Nanowire Synthesis and Applications (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Poxvirus research and outbreaks (1 paper). The work is most often cited by research in Infectious Diseases (17 citations), Modeling and Simulation (4 citations), Genetics (7 citations), Hematology (5 citations) and Virology (2 citations). Arvinden VR has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Vinod Scaria, Rahul C. Bhoyar, Mercy Rophina, Vigneshwar Senthivel, Mohamed Imran, Mohit Kumar Divakar, Urvashi B. Singh, Praveen Aggarwal, Shailja Singh and Bani Jolly. Their work appears in journals such as Frontiers in Molecular Biosciences, Nature Communications, Molecular Diagnosis & Therapy, Journal of Medical Virology and Communications 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.

Explore authors with similar magnitude of impact