Arun Kumar Adhikary

621 citations
33 papers · 442 indexed · h-index 12
Topics
Virus-based gene therapy research (16 papers)Survey Sampling and Estimation Techniques (10 papers)Herpesvirus Infections and Treatments (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Clinical Microbiology
Partner nations
JapanMalaysiaIndia

In The Last Decade

Arun Kumar Adhikary

30 papers receiving 426 citations

Peers

Arun Kumar Adhikary
Comparison fields: 5 of 80
  • Genetics 226
  • Epidemiology 165
  • Molecular Biology 149
  • Infectious Diseases 120
  • Molecular Medicine 62
Replace H. Ishikawa with:
H. Ishikawa Japan
Ana Serna‐Gallego Spain
Jean–Marc Juteau United States
Chen‐Yi Cheung New Zealand
Irma Herrera‐Camacho Mexico
Anne Frentzen Germany
Benedikt Zacher Germany
Sushma M. Bhosle United States
Antónia Jekkel United States
Habibollah Mirzaei Iran
Arun Kumar Adhikary relative to H. Ishikawa Japan H. Ishikawa's profile →
Citations per field
00.5×4.4×
H. Ishikawa · 1×
Citations per year

Countries citing papers authored by Arun Kumar Adhikary

Since Specialization
Citations

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

Fields of papers citing papers by Arun Kumar Adhikary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun Kumar Adhikary. 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 Arun Kumar Adhikary. The network helps show where Arun Kumar Adhikary may publish in the future.

Co-authorship network of co-authors of Arun Kumar Adhikary

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Kumar Adhikary. A scholar is included among the top collaborators of Arun Kumar Adhikary based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arun Kumar Adhikary. Arun Kumar Adhikary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 27
5 133
6 0
7 25
8 20
9 7
10 32
11 16
12 11
13 11
14 9
15 24
16 9
17 5
18 2
19 0
20 3

About Arun Kumar Adhikary

Arun Kumar Adhikary is a scholar working on Statistics and Probability, Genetics and Infectious Diseases, having authored 33 papers that have together received 442 indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), Survey Sampling and Estimation Techniques (10 papers) and Herpesvirus Infections and Treatments (9 papers). The work is most often cited by research in Molecular Medicine (62 citations), Genetics (226 citations) and Infectious Diseases (120 citations). Arun Kumar Adhikary has collaborated with scholars based in Japan, Malaysia and India. Frequent co-authors include Urmila Banik, Subramani Parasuraman, Nor Hayati Othman, Nobuhiko Okabe, Tsuguto Fujimoto, Arijit Chaudhuri, Jiro Numaga, T. Inada, Nozomu Hanaoka and Hiroshi Ushijima. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.

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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