JJ Sninsky

15 papers receiving 1.0k citations

JJ Sninsky's Hit Papers

Identification of human immunodeficiency virus sequences by using in vitro enzymatic amplification and oligomer cleavage detection 1987 · 289 citations
2890+13+26Years since publication50100150200250

Peers

JJ Sninsky
Comparison fields: 5 of 63
  • Virology 343
  • Agronomy and Crop Science 365
  • Immunology 539
  • Infectious Diseases 310
  • Ecology, Evolution, Behavior and Systematics 272
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BJ Poiesz United States
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Donna T. Warfield United States
D Gallo United States
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Masuyo Nakai Japan
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Citations per field
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Citations per year

Countries citing papers authored by JJ Sninsky

Since Specialization
Citations

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

Fields of papers citing papers by JJ Sninsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Identification of human immunodeficiency virus sequences by using in vitro enzymatic amplification and oligomer cleavage detection
Hit paper breakdown →
1987289
2 1988209
3 1988170
4 1988123
5 1989116
6 199245
7 199043
8 199128
9 199022
10 199015
11
Detection of human immunodeficiency viruses by the polymerase chain reaction.
199011
12 19888
13
The polymerase chain reaction (PCR): a valuable method for retroviral detection.
19908
14 19897
15 19907

About JJ Sninsky

JJ Sninsky is a scholar working on Agronomy and Crop Science, Immunology, Ecology, Evolution, Behavior and Systematics, Virology and Infectious Diseases, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (9 papers), T-cell and Retrovirus Studies (8 papers), Vector-Borne Animal Diseases (7 papers), HIV Research and Treatment (5 papers), HIV/AIDS drug development and treatment (3 papers), Molecular Biology Techniques and Applications (2 papers), Hepatitis B Virus Studies (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Virology (343 citations), Agronomy and Crop Science (365 citations), Immunology (539 citations), Infectious Diseases (310 citations) and Ecology, Evolution, Behavior and Systematics (272 citations). JJ Sninsky has collaborated with scholars based in United States, Netherlands and Tunisia. Frequent co-authors include Garth D. Ehrlich, Simon C.M. Kwok, BJ Poiesz, Bernard J. Poiesz, Shirley Kwok, Donald C. Blair, Alvin E. Friedman‐Kien, Kary B. Mullis, David H. Mack and Bruce C. Byrne. Their work appears in journals such as Blood, Transfusion, JAIDS Journal of Acquired Immune Deficiency Syndromes, The Journal of Infectious Diseases and Journal of Virology.

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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