R. Anand

1.8k citations
38 papers · 1.5k indexed · h-index 18
Topics
HIV Research and Treatment (19 papers)HIV/AIDS drug development and treatment (11 papers)Virus-based gene therapy research (7 papers)

In The Last Decade

R. Anand

38 papers receiving 1.4k citations

Peers

R. Anand
Comparison fields: 5 of 85
  • Virology 625
  • Epidemiology 428
  • Immunology 422
  • Molecular Biology 395
  • Infectious Diseases 368
Replace Yoshiyuki Yoshinaka with:
Yoshiyuki Yoshinaka Japan
Cheryl A. Stoddart United States
A. Kirn France
Elmostafa Bahraoui France
Kevin Whitby United Kingdom
Laurent Fischer France
Ryan S. Noyce Canada
Laurent Chatel‐Chaix Canada
K. Radsak Germany
Andrea Cuconati United States
R. Anand relative to Yoshiyuki Yoshinaka Japan Yoshiyuki Yoshinaka's profile →
Citations per field
00.5×1.5×
Yoshiyuki Yoshinaka · 1×
Citations per year

Countries citing papers authored by R. Anand

Since Specialization
Citations

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

Fields of papers citing papers by R. Anand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Anand

This figure shows the co-authorship network connecting the top 25 collaborators of R. Anand. A scholar is included among the top collaborators of R. Anand 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 R. Anand. R. Anand 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 23
3 30
4 25
5 68
6 6
7 361
8 5
9 10
10 24
11 14
12
Rodent and primate monolayer cells support the expression and assembly of viral particles directed by human immunodeficiency virus (HIV) proviral DNA.
8
13 6
14 8
15 21
16 52
17
DNA and protein heterogeneity in serial isolates of human immunodeficiency virus (HIV-1): indication of change in vivo.
3
18 263
19 145
20 42

About R. Anand

R. Anand is a scholar working on Virology, Infectious Diseases and Animal Science and Zoology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (19 papers), HIV/AIDS drug development and treatment (11 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Virology (625 citations), Immunology (422 citations) and Infectious Diseases (368 citations). R. Anand has collaborated with scholars based in United States, United Kingdom and Georgia. Frequent co-authors include Jana S. McBride, Arjun Srinivasan, Michael A. J. Ferguson, Raymond A. Dwek, Steve W. Homans, Thomas W. Rademacher, Abigail Williams, Chris Newbold, R. Brent Swenson and Patricia N. Fultz. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

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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