D Dina

43 papers receiving 2.6k citations

D Dina's Hit Papers

Nucleotide Sequence and Expression of an AIDS-Associated Retrovirus (ARV-2) 1985 · 629 citations
6290+13+27Years since publication200400600

Peers

D Dina
Comparison fields: 5 of 94
  • Virology 1.3k
  • Infectious Diseases 1.0k
  • Immunology 816
  • Agronomy and Crop Science 376
  • Animal Science and Zoology 204
Replace Charles E. Buckler with:
Charles E. Buckler United States
Ali Saı̈b France
Takao Masuda Japan
Stefan Schwartz Sweden
M S Reitz United States
Sisir K. Chattopadhyay United States
P D Markham United States
Andrew I. Dayton United States
M. F. McLane United States
Wei Chun Goh United States
D Dina relative to Charles E. Buckler United States Charles E. Buckler's profile →
Citations per field
00.5×3.3×
Charles E. Buckler · 1×
Citations per year

Countries citing papers authored by D Dina

Since Specialization
Citations

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

Fields of papers citing papers by D Dina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nucleotide Sequence and Expression of an AIDS-Associated Retrovirus (ARV-2)
Hit paper breakdown →
1985629
2 1990235
3 1986217
4 1985146
5 1985142
6 1984129
7 1990115
8 1986109
9 199396
10
Presence of chromosomal abnormalities and lack of AIDS retrovirus DNA sequences in AIDS-associated Kaposi's sarcoma.
198694
11 198786
12 198084
13 198764
14 198263
15 197661
16 198555
17 199148
18 199346
19 198644
20 197442

About D Dina

D Dina is a scholar working on Genetics, Molecular Biology, Virology, Immunology and Infectious Diseases, having authored 44 papers that have together received 2.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), HIV Research and Treatment (13 papers), Animal Disease Management and Epidemiology (7 papers), T-cell and Retrovirus Studies (7 papers), HIV/AIDS drug development and treatment (6 papers), Herpesvirus Infections and Treatments (5 papers), Animal Virus Infections Studies (4 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Virology (1.3k citations), Infectious Diseases (1.0k citations), Immunology (816 citations), Agronomy and Crop Science (376 citations) and Animal Science and Zoology (204 citations). D Dina has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Paul A. Luciw, Jay A. Levy, Cecilia Cheng‐Mayer, Kathelyn S. Steimer, A. Renard, Sheryl Brown‐Shimer, Edmund W. Benz, Margarita Quiroga, Ray Sánchez-Pescador and Philip J. Barr. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Nature, Molecular and Cellular Biology and Science.

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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