JJ Sninsky

1.3k citations
15 papers · 1.1k indexed · 1 hit paper · h-index 11

Impact in

Papers in

JJ Sninsky

15 papers receiving 1.0k citations

Hit Papers

Identification of human immunodeficiency virus sequences by using in vitro enzymatic amplification and oligomer cleavage detection 1987 · 289 citations
289198720262000201350100150200250

Peers

JJ Sninsky
Comparison fields: 5 of 64
  • Virology 354
  • Agronomy and Crop Science 400
  • Immunology 547
  • Infectious Diseases 332
  • Ecology, Evolution, Behavior and Systematics 301
Replace BJ Poiesz with:
BJ Poiesz United States
Mary Fran McLane United States
Donna T. Warfield United States
D Gallo United States
Priscilla Swanson United States
Masuyo Nakai Japan
Eleanor Berrie United Kingdom
Célia Pedroso Brazil
Jennifer Tosswill United Kingdom
Sara Calattini France
JJ Sninsky relative to BJ Poiesz United States BJ Poiesz's profile →
Citations per field
00.5×1.5×
BJ Poiesz · 1×
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 199245
2 199128
3 199022
4 199043
5 199015
6
The polymerase chain reaction (PCR): a valuable method for retroviral detection.
19908
7
Detection of human immunodeficiency viruses by the polymerase chain reaction.
199011
8 19907
9 1989116
10 19897
11 1988209
12 1988123
13 1988170
14 19888
15
Identification of human immunodeficiency virus sequences by using in vitro enzymatic amplification and oligomer cleavage detection
Hit paper breakdown →
1987289

About JJ Sninsky

JJ Sninsky is a scholar working on Virology, Agronomy and Crop Science, Immunology, Ecology, Evolution, Behavior and Systematics 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), Herpesvirus Infections and Treatments (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Virology (354 citations), Agronomy and Crop Science (400 citations), Immunology (547 citations), Infectious Diseases (332 citations) and Ecology, Evolution, Behavior and Systematics (301 citations). JJ Sninsky has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Garth D. Ehrlich, Simon C.M. Kwok, BJ Poiesz, Bernard J. Poiesz, Shirley Kwok, David H. Mack, Donald C. Blair, Alvin E. Friedman‐Kien, Kary B. Mullis 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 Annals of Internal Medicine.

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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