E Paucha

2.3k total citations · 1 hit paper
24 papers, 2.0k citations indexed

About

E Paucha is a scholar working on Oncology, Molecular Biology and Ecology. According to data from OpenAlex, E Paucha has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 10 papers in Molecular Biology and 10 papers in Ecology. Recurrent topics in E Paucha's work include Polyomavirus and related diseases (11 papers), Bacteriophages and microbial interactions (10 papers) and Virus-based gene therapy research (9 papers). E Paucha is often cited by papers focused on Polyomavirus and related diseases (11 papers), Bacteriophages and microbial interactions (10 papers) and Virus-based gene therapy research (9 papers). E Paucha collaborates with scholars based in United States, United Kingdom and Canada. E Paucha's co-authors include Alan E. Smith, James A. DeCaprio, John W. Ludlow, W H Lee, Chun‐Ming Huang, R Smith, Robert F. Harvey, Daniel Kalderon, David M. Livingston and Erika Marsilio and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

E Paucha

24 papers receiving 1.8k citations

Hit Papers

Organization and expression of early genes of simian viru... 1978 2026 1994 2010 1978 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E Paucha United States 20 1.2k 872 801 459 233 24 2.0k
R. B. Carroll United States 21 632 0.5× 632 0.7× 320 0.4× 256 0.6× 154 0.7× 58 1.4k
Mary J. Tevethia United States 28 964 0.8× 721 0.8× 644 0.8× 338 0.7× 21 0.1× 70 2.1k
T. Durfee United States 10 664 0.5× 1.8k 2.1× 413 0.5× 238 0.5× 148 0.6× 11 2.6k
Kathleen Rundell United States 27 1.8k 1.5× 1.5k 1.7× 928 1.2× 666 1.5× 13 0.1× 53 3.1k
Peter Yaciuk United States 21 872 0.7× 1.7k 1.9× 852 1.1× 75 0.2× 53 0.2× 31 2.4k
B. Thimmappaya United States 21 800 0.7× 2.0k 2.3× 1.3k 1.7× 384 0.8× 13 0.1× 34 2.9k
Srilata Bagchi United States 30 1.4k 1.2× 2.1k 2.4× 981 1.2× 62 0.1× 185 0.8× 48 3.1k
Richard Harrop United Kingdom 29 1.0k 0.8× 660 0.8× 436 0.5× 253 0.6× 80 0.3× 66 2.5k
James W. Lillie United States 19 519 0.4× 1.6k 1.8× 1.1k 1.3× 47 0.1× 47 0.2× 24 2.7k
Duncan McVey United States 13 293 0.2× 437 0.5× 249 0.3× 110 0.2× 158 0.7× 22 773

Countries citing papers authored by E Paucha

Since Specialization
Citations

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

Fields of papers citing papers by E Paucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Paucha

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

All Works

20 of 20 papers shown
1.
Marsilio, Erika, Shuk Han Cheng, Brian Schaffhausen, E Paucha, & David M. Livingston. (1991). The T/t common region of simian virus 40 large T antigen contains a distinct transformation-governing sequence. Journal of Virology. 65(10). 5647–5652. 46 indexed citations
3.
Ewen, Mark E., John W. Ludlow, Erika Marsilio, et al.. (1989). An N-Terminal transformation-governing sequence of SV40 large T antigen contributes to the binding of both p110 and a second cellular protein, p120. Cell. 58(2). 257–267. 212 indexed citations
4.
Taylor, I, William B. Solomon, Beth Weiner, et al.. (1989). Stimulation of the Human Heat Shock Protein 70 Promoter in Vitro by Simian Virus 40 Large T Antigen. Journal of Biological Chemistry. 264(27). 16160–16164. 22 indexed citations
5.
Figge, James, T. A. Webster, Temple F. Smith, & E Paucha. (1988). Prediction of similar transforming regions in simian virus 40 large T, adenovirus E1A, and myc oncoproteins. Journal of Virology. 62(5). 1814–1818. 117 indexed citations
6.
Cherington, Van, et al.. (1988). Separation of simian virus 40 large-T-antigen-transforming and origin-binding functions from the ability to block differentiation.. Molecular and Cellular Biology. 8(3). 1380–1384. 79 indexed citations
7.
Paucha, E, et al.. (1986). Simian virus 40 origin DNA-binding domain on large T antigen. Journal of Virology. 57(1). 50–64. 102 indexed citations
8.
Smith, Alan E., Daniel Kalderon, Bruce Roberts, et al.. (1985). The nuclear location signal. Proceedings of the Royal Society of London. Series B, Biological sciences. 226(1242). 43–58. 78 indexed citations
9.
Paucha, E, et al.. (1985). The abnormal location of cytoplasmic SV40 large T is not caused by failure to bind to DNA or to p53.. The EMBO Journal. 4(12). 3235–3240. 23 indexed citations
10.
Paucha, E, Robert F. Harvey, & Alan E. Smith. (1984). Immunoprecipitation of some forms of simian virus 40 large-T antigen by antibodies to synthetic peptides. Journal of Virology. 51(3). 670–681. 12 indexed citations
11.
Harvey, Robert F., et al.. (1982). An antibody to a synthetic peptide that recognises SV40 small-t antigen.. The EMBO Journal. 1(4). 473–477. 18 indexed citations
12.
Lane, Charles D., Alan Colman, Timothy J. Mohun, et al.. (1980). The Xenopus Oocyte as a Surrogate Secretory System The Specificity of Protein Export. European Journal of Biochemistry. 111(1). 225–235. 53 indexed citations
13.
McCormick, Frank, Robert F. Harvey, R Smith, et al.. (1980). T Antigens of SV40-transformed Cells. Cold Spring Harbor Symposia on Quantitative Biology. 44(0). 171–178. 28 indexed citations
14.
Smith, Alan E., R Smith, & E Paucha. (1979). Characterization of different tumor antigens present in cells transformed by simian virus 40. Cell. 18(2). 335–346. 105 indexed citations
15.
Smith, Alan E., R Smith, & E Paucha. (1978). Extraction and fingerprint analysis of simian virus 40 large and small T-antigens. Journal of Virology. 28(1). 140–153. 92 indexed citations
16.
Paucha, E, Robert F. Harvey, & Alan E. Smith. (1978). Cell-free synthesis of simian virus 40 T-antigens. Journal of Virology. 28(1). 154–170. 60 indexed citations
17.
Paucha, E, Andrew L. Mellor, Robert F. Harvey, et al.. (1978). Large and small tumor antigens from simian virus 40 have identical amino termini mapping at 0.65 map units.. Proceedings of the National Academy of Sciences. 75(5). 2165–2169. 94 indexed citations
18.
Paucha, E & Alan E. Smith. (1978). The sequences between 0.59 and 0.54 map units on SV40 DNA code for the unique region of small t antigen. Cell. 15(3). 1011–1020. 36 indexed citations
19.
Paucha, E & John S. Colter. (1975). Evidence for control of translation of the viral genome during replication of Mengo virus and poliovirus. Virology. 67(1). 300–305. 7 indexed citations
20.
Paucha, E, Jutta Seehafer, & John S. Colter. (1974). Synthesis of viral-specific polypeptides in Mengo virus-infected L cells: Evidence for asymmetric translation of the viral genome. Virology. 61(2). 315–326. 40 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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