JJ Sninsky

1.3k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

JJ Sninsky is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, JJ Sninsky has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Agronomy and Crop Science, 8 papers in Immunology and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in JJ Sninsky's work include Animal Disease Management and Epidemiology (9 papers), T-cell and Retrovirus Studies (8 papers) and Vector-Borne Animal Diseases (7 papers). JJ Sninsky is often cited by papers focused on Animal Disease Management and Epidemiology (9 papers), T-cell and Retrovirus Studies (8 papers) and Vector-Borne Animal Diseases (7 papers). JJ Sninsky collaborates with scholars based in United States, Netherlands and Canada. JJ Sninsky's 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 and has published in prestigious journals such as Blood, Annals of Internal Medicine and Journal of Virology.

In The Last Decade

JJ Sninsky

15 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification of human immunodeficiency virus sequences by using in vitro enzymatic amplification and oligomer cleavage detection

1987 289 citations Shirley Kwok, David H. Mack et al. Journal of Virology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
JJ Sninsky United States	11	547	400	354	332	301	15	1.1k
D Gallo United States	19	497 0.9×	296 0.7×	224 0.6×	335 1.0×	277 0.9×	35	1.3k
Mary Fran McLane United States	19	641 1.2×	238 0.6×	1.0k 2.9×	616 1.9×	192 0.6×	29	1.5k
BJ Poiesz United States	17	844 1.5×	587 1.5×	242 0.7×	250 0.8×	485 1.6×	37	1.4k
Sara Calattini France	24	502 0.9×	431 1.1×	226 0.6×	143 0.4×	306 1.0×	41	1.4k
Masuyo Nakai Japan	20	527 1.0×	250 0.6×	863 2.4×	532 1.6×	185 0.6×	55	1.4k
Priscilla Swanson United States	29	987 1.8×	792 2.0×	881 2.5×	847 2.6×	656 2.2×	66	2.2k
Donna T. Warfield United States	12	397 0.7×	189 0.5×	719 2.0×	689 2.1×	100 0.3×	20	1.6k
Edouard Betsem France	19	279 0.5×	288 0.7×	270 0.8×	121 0.4×	145 0.5×	37	873
Maja A. Sommerfelt Norway	17	622 1.1×	182 0.5×	983 2.8×	548 1.7×	156 0.5×	43	1.6k
Eleanor Berrie United Kingdom	14	165 0.3×	115 0.3×	168 0.5×	186 0.6×	147 0.5×	21	702

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-authorship network of co-authors of JJ Sninsky

This figure shows the co-authorship network connecting the top 25 collaborators of JJ Sninsky. A scholar is included among the top collaborators of JJ Sninsky 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 JJ Sninsky. JJ Sninsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

1.

Chemin, Isabelle, O. Hantz, Christian Pichoud, et al.. (1992). Transmission of serologically silent hepatitis B virus along with hepatitis C virus in two cases of posttransfusion hepatitis. Transfusion. 32(3). 215–220. 45 indexed citations

2.

Lipka, James J., L. Chan, Gregory R. Reyes, et al.. (1991). Modified Western Blot Assay for Confirmation and Differentiation of Human T Cell Lymphotropic Virus Types I and II. The Journal of Infectious Diseases. 164(2). 400–403. 28 indexed citations

3.

Krone, W, JJ Sninsky, & Jaap Goudsmit. (1990). Detection and Characterization of HIV-1 By Polymerase Chain Reaction. JAIDS Journal of Acquired Immune Deficiency Syndromes. 3(5). 517???524–517???524. 22 indexed citations

4.

Kwok, Simon C.M., James J. Lipka, Nancy McKinney, et al.. (1990). Low incidence of HTLV infections in random blood donors with indeterminate Western blot patterns. Transfusion. 30(6). 491–494. 43 indexed citations

5.

Papsidero, Lawrence D., R Montagna, Garth D. Ehrlich, et al.. (1990). Immunodetection of human T-cell lymphotropic virus type I core protein in biological samples by using a monoclonal antibody immunoassay. Journal of Clinical Microbiology. 28(5). 949–955. 15 indexed citations

6.

Sninsky, JJ. (1990). The polymerase chain reaction (PCR): a valuable method for retroviral detection.. PubMed. 23(2). 92–7. 8 indexed citations

7.

Sninsky, JJ & Simon C.M. Kwok. (1990). Detection of human immunodeficiency viruses by the polymerase chain reaction.. PubMed. 114(3). 259–62. 11 indexed citations

8.

Krone, W, JJ Sninsky, & Jaap Goudsmit. (1990). Detection and Characterization of HIV-1 By Polymerase Chain Reaction. JAIDS Journal of Acquired Immune Deficiency Syndromes. 3(5). 517???524–517???524. 7 indexed citations

9.

Ehrlich, Garth D., J Glaser, Dianna Quan, et al.. (1989). Prevalence of human T-cell leukemia/lymphoma virus (HTLV) type II infection among high-risk individuals: type-specific identification of HTLVs by polymerase chain reaction. Blood. 74(5). 1658–1664. 116 indexed citations

10.

Ehrlich, Garth D., J Glaser, Dianna Quan, et al.. (1989). Prevalence of human T-cell leukemia/lymphoma virus (HTLV) type II infection among high-risk individuals: type-specific identification of HTLVs by polymerase chain reaction. Blood. 74(5). 1658–1664. 7 indexed citations

11.

Abbott, M. A., BJ Poiesz, Bruce C. Byrne, et al.. (1988). Enzymatic Gene Amplification: Qualitative and Quantitative Methods for Detecting Proviral DNA Amplified in Vitro. The Journal of Infectious Diseases. 158(6). 1158–1169. 209 indexed citations

12.

Farzadegan, Homayoon, Michael A. Polis, Steven M. Wolinsky, et al.. (1988). Loss of Human Immunodeficiency Virus Type 1 (HIV-I) Antibodies with Evidence of Viral Infection in Asymptomatic Homosexual Men. Annals of Internal Medicine. 108(6). 785–790. 123 indexed citations

13.

Kwok, Simon C.M., et al.. (1988). Enzymatic amplification of HTLV-I viral sequences from peripheral blood mononuclear cells and infected tissues. Blood. 72(4). 1117–1123. 170 indexed citations

14.

Sninsky, JJ, et al.. (1988). Enzymatic amplification of HTLV-I viral sequences from peripheral blood mononuclear cells and infected tissues. Blood. 72(4). 1117–1123. 8 indexed citations

15.

Kwok, Shirley, David H. Mack, Kary B. Mullis, et al.. (1987). Identification of human immunodeficiency virus sequences by using in vitro enzymatic amplification and oligomer cleavage detection. Journal of Virology. 61(5). 1690–1694. 289 indexed citations breakdown →

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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