J C Byrne

2.2k total citations · 1 hit paper
13 papers, 2.0k citations indexed

About

J C Byrne is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, J C Byrne has authored 13 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in J C Byrne's work include Virus-based gene therapy research (6 papers), Molecular Biology Techniques and Applications (4 papers) and T-cell and Retrovirus Studies (3 papers). J C Byrne is often cited by papers focused on Virus-based gene therapy research (6 papers), Molecular Biology Techniques and Applications (4 papers) and T-cell and Retrovirus Studies (3 papers). J C Byrne collaborates with scholars based in United States and United Kingdom. J C Byrne's co-authors include Peter M. Howley, Martin Scheffner, Karl Münger, Nava Sarver, Alison A. McBride, Ming-Fan Law, M S Rabson, Ying Yang, Priscilla A. Furth and John Rex and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Molecular and Cellular Biology.

In The Last Decade

J C Byrne

13 papers receiving 1.8k citations

Hit Papers

1 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.

The state of the p53 and retinoblastoma genes in human cervical carcinoma cell lines.

1991 736 citations Martin Scheffner, Karl Münger et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J C Byrne United States	11	887	872	619	614	317	13	2.0k
C A Heilman United States	16	529 0.6×	386 0.4×	247 0.4×	355 0.6×	246 0.8×	24	1.3k
Sylvie Beaudenon United States	20	963 1.1×	1.6k 1.9×	386 0.6×	724 1.2×	512 1.6×	27	2.8k
David Smotkin United States	17	1.0k 1.2×	679 0.8×	768 1.2×	398 0.6×	351 1.1×	26	1.9k
Anthony J. Girardi United States	21	422 0.5×	977 1.1×	771 1.2×	611 1.0×	255 0.8×	45	2.1k
Dohun Pyeon United States	22	901 1.0×	939 1.1×	266 0.4×	584 1.0×	672 2.1×	38	2.3k
Christopher W. Marlor United States	15	517 0.6×	684 0.8×	259 0.4×	147 0.2×	452 1.4×	24	1.9k
Oliver Wildner Germany	25	392 0.4×	1.0k 1.2×	1.1k 1.9×	663 1.1×	365 1.2×	61	2.0k
L. Dmochowski United States	23	358 0.4×	389 0.4×	572 0.9×	433 0.7×	399 1.3×	169	1.6k
R Risser United States	27	311 0.4×	1.4k 1.6×	839 1.4×	572 0.9×	731 2.3×	57	2.9k
Christine L. White United States	24	349 0.4×	722 0.8×	691 1.1×	455 0.7×	475 1.5×	46	1.9k

Countries citing papers authored by J C Byrne

Since Specialization

Citations

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

Fields of papers citing papers by J C Byrne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J C Byrne. 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 J C Byrne. The network helps show where J C Byrne may publish in the future.

Co-authorship network of co-authors of J C Byrne

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

All Works

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13 of 13 papers shown

Byrne, J C, et al.. (1997). The permselectivity of glomerular basement membrane can be compromised by glycation or by exposure to low levels of hypochlorite. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1361(2). 217–228. 8 indexed citations

Furth, Priscilla A., et al.. (1994). Sequences homologous to 5' splice sites are required for the inhibitory activity of papillomavirus late 3' untranslated regions.. Molecular and Cellular Biology. 14(8). 5278–5289. 132 indexed citations

Sallie, Richard, D. V. Sangar, Graeme Alexander, et al.. (1993). Detection of genomic and intermediate replicative strands of hepatitis C virus in liver tissue by in situ hybridization.. Journal of Clinical Investigation. 91(5). 2226–2234. 99 indexed citations

Schiffman, Mark, Heidi M. Bauer, Attila T. Lörincz, et al.. (1991). Comparison of Southern blot hybridization and polymerase chain reaction methods for the detection of human papillomavirus DNA. Journal of Clinical Microbiology. 29(3). 573–577. 141 indexed citations

Scheffner, Martin, Karl Münger, J C Byrne, & Peter M. Howley. (1991). The state of the p53 and retinoblastoma genes in human cervical carcinoma cell lines.. Proceedings of the National Academy of Sciences. 88(13). 5523–5527. 736 indexed citations breakdown →

McBride, Alison A., J C Byrne, & Peter M. Howley. (1989). E2 polypeptides encoded by bovine papillomavirus type 1 form dimers through the common carboxyl-terminal domain: transactivation is mediated by the conserved amino-terminal domain.. Proceedings of the National Academy of Sciences. 86(2). 510–514. 164 indexed citations

Spalholz, B A, J C Byrne, & Peter M. Howley. (1988). Evidence for cooperativity between E2 binding sites in E2 trans-regulation of bovine papillomavirus type 1. Journal of Virology. 62(9). 3143–3150. 51 indexed citations

Sarver, Nava, Ruth J. Muschel, J C Byrne, George Khoury, & Peter M. Howley. (1985). Enhancer-dependent expression of the rat preproinsulin gene in bovine papillomavirus type 1 vectors.. Molecular and Cellular Biology. 5(12). 3507–3516. 9 indexed citations

Sarver, Nava, M S Rabson, Ying Yang, J C Byrne, & Peter M. Howley. (1984). Localization and analysis of bovine papillomavirus type 1 transforming functions. Journal of Virology. 52(2). 377–388. 148 indexed citations

10.

Law, Ming-Fan, J C Byrne, & Peter M. Howley. (1983). A stable bovine papillomavirus hybrid plasmid that expresses a dominant selective trait.. Molecular and Cellular Biology. 3(11). 2110–2115. 94 indexed citations

11.

Turek, L P, J C Byrne, Douglas R. Lowy, et al.. (1982). Interferon induces morphologic reversion with elimination of extrachromosomal viral genomes in bovine papillomavirus-transformed mouse cells.. Proceedings of the National Academy of Sciences. 79(24). 7914–7918. 100 indexed citations

12.

Sarver, Nava, J C Byrne, & Peter M. Howley. (1982). Transformation and replication in mouse cells of a bovine papillomavirus--pML2 plasmid vector that can be rescued in bacteria.. Proceedings of the National Academy of Sciences. 79(23). 7147–7151. 208 indexed citations

13.

Howley, Peter M., George Khoury, J C Byrne, K. K. Takemoto, & Malcolm A. Martin. (1975). Physical map of the BK virus genome. Journal of Virology. 16(4). 959–973. 64 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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