Jay Snoddy

4.0k total citations · 1 hit paper
21 papers, 2.7k citations indexed

About

Jay Snoddy is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Jay Snoddy has authored 21 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Jay Snoddy's work include Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (5 papers) and Genomics and Phylogenetic Studies (5 papers). Jay Snoddy is often cited by papers focused on Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (5 papers) and Genomics and Phylogenetic Studies (5 papers). Jay Snoddy collaborates with scholars based in United States, Canada and Serbia. Jay Snoddy's co-authors include Stefan Kirov, Bing Zhang, Denise D. Schmoyer, Bing Zhang, Péter Lengyel, Elena Toniato, Divaker Choubey, Ghislain Opdenakker, Ivan Labat and Michael F. Seldin and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jay Snoddy

21 papers receiving 2.6k 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.

WebGestalt: an integrated system for exploring gene sets in various biological contexts

2005 1.5k citations Bing Zhang, Stefan Kirov et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay Snoddy United States	15	1.8k	460	410	381	298	21	2.7k
Stefan Kirov United States	13	1.6k 0.9×	415 0.9×	371 0.9×	227 0.6×	245 0.8×	26	2.3k
Andreas Klingenhoff Germany	12	2.4k 1.3×	503 1.1×	513 1.3×	332 0.9×	254 0.9×	14	3.3k
Holger Karas Germany	6	2.0k 1.1×	308 0.7×	475 1.2×	432 1.1×	349 1.2×	9	2.8k
Roy Navon Israel	10	2.1k 1.2×	750 1.6×	409 1.0×	305 0.8×	229 0.8×	20	3.2k
Christina A. Harrington United States	28	1.4k 0.8×	446 1.0×	346 0.8×	343 0.9×	161 0.5×	65	2.7k
Tristan Kooistra United States	9	2.7k 1.5×	380 0.8×	474 1.2×	452 1.2×	169 0.6×	16	3.6k
Volker Matys Germany	8	2.8k 1.6×	434 0.9×	505 1.2×	285 0.7×	235 0.8×	9	3.5k
Tetsuya Sato Japan	28	1.6k 0.9×	380 0.8×	608 1.5×	457 1.2×	198 0.7×	85	2.9k
Sanjeev Galande India	29	2.4k 1.4×	288 0.6×	329 0.8×	468 1.2×	435 1.5×	101	3.3k
Yuxing Liao United States	13	2.1k 1.2×	422 0.9×	386 0.9×	310 0.8×	312 1.0×	25	3.2k

Countries citing papers authored by Jay Snoddy

Since Specialization

Citations

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

Fields of papers citing papers by Jay Snoddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Snoddy

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

All Works

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20 of 20 papers shown

Franklin, Jeffrey L., Carl R. Rankin, Shawn Levy, et al.. (2013). Malignant transformation of colonic epithelial cells by a colon-derived long noncoding RNA. Biochemical and Biophysical Research Communications. 440(1). 99–104. 23 indexed citations

Beeghly‐Fadiel, Alicia, Jirong Long, Yu‐Tang Gao, et al.. (2008). Common MMP-7 Polymorphisms and Breast Cancer Susceptibility: A Multistage Study of Association and Functionality. Cancer Research. 68(15). 6453–6459. 37 indexed citations

Portales-Casamar, Élodie, Stefan Kirov, Jonathan Lim, et al.. (2007). PAZAR: a framework for collection and dissemination of cis-regulatory sequence annotation. Genome biology. 8(10). R207–R207. 76 indexed citations

Kirov, Stefan, Bing Zhang, & Jay Snoddy. (2007). Association Analysis for Large-Scale Gene Set Data. Methods in molecular biology. 408. 19–33. 10 indexed citations

Peng, Xinxia, et al.. (2005). GeneKeyDB: A lightweight, gene-centric, relational database to support data mining environments. BMC Bioinformatics. 6(1). 72–72. 17 indexed citations

Zhang, Bing, Stefan Kirov, & Jay Snoddy. (2005). WebGestalt: an integrated system for exploring gene sets in various biological contexts. Nucleic Acids Research. 33(Web Server). W741–W748. 1478 indexed citations breakdown →

Kohen, Ruth, Stefan Kirov, H. Kevin Happe, et al.. (2005). Gene expression profiling in the hippocampus of learned helpless and nonhelpless rats. The Pharmacogenomics Journal. 5(5). 278–291. 35 indexed citations

Baldwin, Nicole, Elissa J. Chesler, Stefan Kirov, et al.. (2005). Computational, Integrative, and Comparative Methods for the Elucidation of Genetic Coexpression Networks. BioMed Research International. 2005(2). 172–180. 29 indexed citations

Peng, Xinxia, Michael A. Langston, Arnold M. Saxton, Nicole Baldwin, & Jay Snoddy. (2004). Detecting network motifs in gene co-expression networks. 1 indexed citations

10.

Bult, Carol J., Warren A. Kibbe, Jay Snoddy, et al.. (2004). A genome end-game: understanding gene function in the nervous system. Nature Neuroscience. 7(5). 484–485. 5 indexed citations

11.

Goldowitz, Dan, Wayne N. Frankel, Joseph S. Takahashi, et al.. (2004). Large-scale mutagenesis of the mouse to understand the genetic bases of nervous system structure and function. Molecular Brain Research. 132(2). 105–115. 53 indexed citations

12.

Urs, Sumithra, Colton Smith, Arnold M. Saxton, et al.. (2004). Gene Expression Profiling in Human Preadipocytes and Adipocytes by Microarray Analysis. Journal of Nutrition. 134(4). 762–770. 110 indexed citations

13.

Zhang, Bing, Denise D. Schmoyer, Stefan Kirov, & Jay Snoddy. (2004). GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies. BMC Bioinformatics. 5(1). 16–16. 380 indexed citations

14.

Baker, Erich J., Leslie Galloway, Barbara L. Jackson, Denise D. Schmoyer, & Jay Snoddy. (2004). MuTrack: a genome analysis system for large-scale mutagenesis in the mouse. BMC Bioinformatics. 5(1). 11–11. 12 indexed citations

15.

Mural, Richard, et al.. (1999). The Genome Channel: a browser to a uniform first-pass annotation of genomic DNA. Trends in Genetics. 15(1). 38–39. 10 indexed citations

16.

Robbins, Robert, et al.. (1995). Informatics and the Human Genome Project. IEEE Engineering in Medicine and Biology Magazine. 14(6). 694–701. 12 indexed citations

17.

Drmanac, Radoje, Snezana Drmanac, Žaklina Strezoska, et al.. (1993). DNA Sequence Determination by Hybridization: a Strategy for Efficient Large-Scale Sequencing. Science. 260(5114). 1649–1652. 159 indexed citations

18.

Kingsmore, Stephen F., Jay Snoddy, Divaker Choubey, Péter Lengyel, & Michael F. Seldin. (1989). Physical mapping of a family of interferon-activated genes, serum amyloid P-component, and α-spectrin on mouse chromosome 1. Immunogenetics. 30(3). 169–174. 37 indexed citations

19.

Opdenakker, Ghislain, Jay Snoddy, Vinay Choubey, et al.. (1989). Interferons as gene activators: A cluster of six interferon-activatable genes is linked to the erythroid α-spectrin locus on murine chromosome 1. Virology. 171(2). 568–578. 55 indexed citations

20.

Engel, Daniel A., Jay Snoddy, Elena Toniato, & Péter Lengyel. (1988). Interferons as gene activators: Close linkage of two interferon-activatable murine genes. Virology. 166(1). 24–29. 24 indexed citations

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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