Chris Jay

1.1k total citations
19 papers, 711 citations indexed

About

Chris Jay is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Chris Jay has authored 19 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Chris Jay's work include RNA Interference and Gene Delivery (5 papers), Inflammatory Myopathies and Dermatomyositis (5 papers) and Muscle Physiology and Disorders (4 papers). Chris Jay is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Inflammatory Myopathies and Dermatomyositis (5 papers) and Muscle Physiology and Disorders (4 papers). Chris Jay collaborates with scholars based in United States, Germany and Mexico. Chris Jay's co-authors include John Nemunaitis, Pat F. Fulgham, Neil Senzer, Alex W. Tong, Patrick Chen, Iya Khalil, A W Tong, Aron C. Eklund, Jing Han and Phillip B. Maples and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Human Gene Therapy.

In The Last Decade

Chris Jay

19 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Jay United States	12	548	391	68	64	55	19	711
Ping Zhu China	15	444 0.8×	235 0.6×	31 0.5×	40 0.6×	63 1.1×	39	611
Erik Wendlandt United States	11	516 0.9×	408 1.0×	43 0.6×	87 1.4×	124 2.3×	15	819
Han Zhuo China	13	584 1.1×	457 1.2×	24 0.4×	46 0.7×	85 1.5×	22	760
Rosamaria Pinto Italy	16	408 0.7×	274 0.7×	124 1.8×	31 0.5×	128 2.3×	28	655
Mei-Yi Lin Hong Kong	9	386 0.7×	137 0.4×	76 1.1×	55 0.9×	100 1.8×	12	536
Jinguo Wang China	11	663 1.2×	516 1.3×	48 0.7×	42 0.7×	94 1.7×	20	815
Xing Yao China	14	365 0.7×	175 0.4×	28 0.4×	59 0.9×	78 1.4×	38	554
Jianfa Li China	23	1.2k 2.2×	957 2.4×	49 0.7×	55 0.9×	87 1.6×	35	1.4k
Karen Crain United States	10	210 0.4×	102 0.3×	73 1.1×	46 0.7×	35 0.6×	11	548

Countries citing papers authored by Chris Jay

Since Specialization

Citations

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

Fields of papers citing papers by Chris Jay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Jay

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

All Works

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19 of 19 papers shown

Sahagún-Ruiz, Alfredo, Chris Jay, Elizabeth Morales Salinas, et al.. (2015). Reduction of enterotoxin induced fluid accumulation in ileal loops of neonatal calves with anti-F5 fimbriae recombinant antibody. Veterinary Research Communications. 39(4). 229–236. 6 indexed citations

Wu, James X., Jiyang Yu, Guisheng Zhou, et al.. (2014). Vertically integrated translational studies of PDX1 as a therapeutic target for pancreatic cancer via a novel bifunctional RNAi platform. Cancer Gene Therapy. 21(2). 48–53. 16 indexed citations

Rao, Donald D., Neil Senzer, Zhaohui Wang, et al.. (2012). Bifunctional Short Hairpin RNA (bi-shRNA): Design and Pathway to Clinical Application. Methods in molecular biology. 942. 259–278. 15 indexed citations

Nemunaitis, Gregory, Chris Jay, Phillip B. Maples, et al.. (2011). Hereditary Inclusion Body Myopathy: Single Patient Response to Intravenous Dosing of GNE Gene Lipoplex. Human Gene Therapy. 22(11). 1331–1341. 36 indexed citations

Maples, Phillip B., Padmasini Kumar, Yang Yu, et al.. (2010). FANG Vaccine: Autologous Tumor Cell Vaccine Genetically Modified to Express GM-CSF and Block Production of Furin. BioProcessing Journal. 8(4). 4–14. 24 indexed citations

Rao, Donald D., Phillip B. Maples, Neil Senzer, et al.. (2010). Enhanced target gene knockdown by a bifunctional shRNA: a novel approach of RNA interference. Cancer Gene Therapy. 17(11). 780–791. 36 indexed citations

Nemunaitis, Gregory, Phillip B. Maples, Chris Jay, et al.. (2010). Hereditary inclusion body myopathy: single patient response to GNE gene Lipoplex therapy. The Journal of Gene Medicine. 12(5). 403–412. 19 indexed citations

Tong, Alex, Chris Jay, Neil Senzer, Phillip B. Maples, & John Nemunaitis. (2009). Systemic Therapeutic Gene Delivery for Cancer: Crafting Paris Arrow. Current Gene Therapy. 9(1). 45–60. 41 indexed citations

Jay, Chris, et al.. (2009). Hereditary Inclusion Body Myopathy (HIBM2). PubMed. 3. 181–90. 12 indexed citations

10.

Jay, Chris, et al.. (2009). TAG Xenograft Vaccine: Xenograft-Expanded Autologous Tumor Vaccine Genetically Modified to Express GM-CSF and Block Production of TGFB2 (part 1). BioProcessing Journal. 8(1). 30–36. 3 indexed citations

11.

Nemunaitis, John, et al.. (2009). TAG Vaccine: Autologous Tumor Vaccine Genetically Modified to Express GM-CSF and Block Production of TGFB2 (part 2). BioProcessing Journal. 8(1). 38–44. 5 indexed citations

12.

Phadke, Anagha P., Chris Jay, Zhaohui Wang, et al.. (2009). Safety and in vivo Expression of a GNE-Transgene: A Novel Treatment Approach for Hereditary Inclusion Body Myopathy-2. SHILAP Revista de lepidopterología. 3. 89–101. 7 indexed citations

13.

Reinke, Stefan, et al.. (2008). Biochemical characterization of human and murine isoforms of UDP-N-acetylglucosamine 2-epimerase/N-acetylmannosamine kinase (GNE). Glycoconjugate Journal. 26(4). 415–422. 18 indexed citations

14.

Montoya–Durango, Diego E., Chinavenmeni S. Velu, Avedis Kazanjian, et al.. (2008). Ajuba Functions as a Histone Deacetylase-dependent Co-repressor for Autoregulation of the Growth Factor-independent-1 Transcription Factor. Journal of Biological Chemistry. 283(46). 32056–32065. 47 indexed citations

15.

Tong, A W, Pat F. Fulgham, Chris Jay, et al.. (2008). MicroRNA profile analysis of human prostate cancers. Cancer Gene Therapy. 16(3). 206–216. 221 indexed citations

16.

Jay, Chris, Gregory Nemunaitis, John Nemunaitis, et al.. (2008). Preclinical Assessment of wt GNE Gene Plasmid for Management of Hereditary Inclusion Body Myopathy 2 (HIBM2). PubMed. 2. 243–52. 10 indexed citations

17.

Jay, Chris, John Nemunaitis, Patrick Chen, Pat F. Fulgham, & Alex W. Tong. (2007). mi RNA Profiling for Diagnosis and Prognosis of Human Cancer. DNA and Cell Biology. 26(5). 293–300. 185 indexed citations

18.

Bhaskaran, S., Chris Jay, L. Berghman, G. G. Wagner, & Suryakant D. Waghela. (2005). A Single-chain Fragment Variable Recombinant Antibody against F5 Fimbria of Enterotoxigenic Escherichia coli Inhibits Agglutination of Horse Red Blood Cells Induced by F5 Protein. Veterinary Research Communications. 29(6). 463–476. 8 indexed citations

19.

Jay, Chris. (1991). A BNF compiler for Prolog. 6(1). 34–39. 2 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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