E May

2.0k total citations
40 papers, 1.6k citations indexed

About

E May is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, E May has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 17 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in E May's work include Polyomavirus and related diseases (11 papers), Virus-based gene therapy research (8 papers) and Cancer-related Molecular Pathways (8 papers). E May is often cited by papers focused on Polyomavirus and related diseases (11 papers), Virus-based gene therapy research (8 papers) and Cancer-related Molecular Pathways (8 papers). E May collaborates with scholars based in France, United States and Italy. E May's co-authors include Pierre May, Michel Kress, R. Cassingéna, Elisheva Yonish-Rouach, Sylvia Wilder, Adi Kimchi, J. J. Lawrence, Moshe Oren, Didier Grünwald and Robert Weil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

E May

39 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E May France 22 948 913 366 265 216 40 1.6k
H L Ozer United States 22 897 0.9× 729 0.8× 364 1.0× 187 0.7× 137 0.6× 39 1.6k
Harvey L. Ozer United States 25 1.2k 1.3× 676 0.7× 624 1.7× 140 0.5× 313 1.4× 54 2.0k
Warren Maltzman United States 12 1.3k 1.4× 1.4k 1.5× 538 1.5× 278 1.0× 149 0.7× 15 2.1k
Cheng‐Keat Tan United States 15 1.4k 1.4× 486 0.5× 298 0.8× 210 0.8× 59 0.3× 17 1.9k
Wendy W. Colby United States 12 1.3k 1.4× 459 0.5× 561 1.5× 117 0.4× 61 0.3× 13 1.8k
K Segawa Japan 14 810 0.9× 640 0.7× 198 0.5× 84 0.3× 44 0.2× 28 1.2k
Leah Lipsich United States 15 1.1k 1.2× 391 0.4× 512 1.4× 54 0.2× 92 0.4× 19 1.6k
T S Papas United States 18 1.2k 1.3× 269 0.3× 345 0.9× 171 0.6× 105 0.5× 26 1.6k
Leela Daya–Grosjean France 23 1.3k 1.3× 533 0.6× 246 0.7× 330 1.2× 53 0.2× 49 1.7k
Berthold Henglein France 22 2.1k 2.2× 1.7k 1.9× 443 1.2× 321 1.2× 51 0.2× 27 3.2k

Countries citing papers authored by E May

Since Specialization
Citations

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

Fields of papers citing papers by E May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E May

This figure shows the co-authorship network connecting the top 25 collaborators of E May. A scholar is included among the top collaborators of E May 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 May. E May 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.
Beier, Kevin T., Tina Davis, Jen‐Chieh Tseng, et al.. (2011). A Class of Human Proteins that Deliver Functional Proteins into Mammalian Cells In Vitro and In Vivo. Chemistry & Biology. 18(7). 833–838. 90 indexed citations
2.
Thomas, Laurent F., Silvia Anna Ciafrè, Guillaume Meurice, et al.. (2011). Expression of miR-487b and miR-410 encoded by 14q32.31 locus is a prognostic marker in neuroblastoma. British Journal of Cancer. 105(9). 1352–1361. 88 indexed citations
3.
Youlyouz‐Marfak, Ibtissam, Nathalie Gachard, Christophe Le Clorennec, et al.. (2007). Identification of a novel p53-dependent activation pathway of STAT1 by antitumour genotoxic agents. Cell Death and Differentiation. 15(2). 376–385. 41 indexed citations
4.
Meiller, Anne, Sandra Pérez-Álvarez, Pascal Drané, et al.. (2007). p53-dependent stimulation of redox-related genes in the lymphoid organs of  -irradiated mice identification of Haeme-oxygenase 1 as a direct p53 target gene. Nucleic Acids Research. 35(20). 6924–6934. 31 indexed citations
5.
Lallemand, Christophe, B. Blanchard, Marta Palmieri, et al.. (2006). Single-stranded RNA viruses inactivate the transcriptional activity of p53 but induce NOXA-dependent apoptosis via post-translational modifications of IRF-1, IRF-3 and CREB. Oncogene. 26(3). 328–338. 44 indexed citations
6.
Drané, Pascal, Sandra Pérez-Álvarez, Anne Meiller, & E May. (2002). L'activation de la protéine p53, un événement déterminant de la réponse cellulaire aux radiations ionisantes.. Médecine Nucléaire. 26(3). 139–147. 2 indexed citations
7.
Drané, Pascal, et al.. (2002). Accumulation of an inactive form of p53 protein in cells treated with TNFα. Cell Death and Differentiation. 9(5). 527–537. 16 indexed citations
8.
Choisy-Rossi, Caroline, et al.. (1998). Mechanisms of p53-induced apoptosis. Toxicology Letters. 95. 24–24. 19 indexed citations
9.
Sancho-Garnier, H, J Delarue, H Mouriesse, et al.. (1995). Is the negative prognostic value of high oestrogen receptor (ER) levels in postmenopausal breast cancer patients due to a modified ER gene product?. European Journal of Cancer. 31(11). 1851–1855. 16 indexed citations
10.
Basart, Ann M., et al.. (1994). A PCR method for detecting polymorphism in the TGFA gene. Human Molecular Genetics. 3(4). 678–678. 21 indexed citations
11.
Biard, Denis, et al.. (1994). Concomitant p53 gene mutation and increased radiosensitivity in rat lung embryo epithelial cells during neoplastic development.. PubMed. 54(13). 3361–4. 85 indexed citations
12.
Stoll, Claude, Jing Qian, J Feingold, P Sauvage, & E May. (1993). Genetic variation in transforming growth factor alpha: possible association of BamHI polymorphism with bilateral sporadic cleft lip and palate. Human Genetics. 92(1). 81–82. 46 indexed citations
13.
Qian, Jing, J Feingold, Claude Stoll, & E May. (1993). Transforming growth factor-alpha: characterization of the BamHI, RsaI, and TaqI polymorphic regions.. PubMed. 53(1). 168–75. 13 indexed citations
14.
May, E, et al.. (1992). Simian virus 40 T antigen activates the late promoter by modulating the activity of negative regulatory elements. Journal of Virology. 66(6). 3347–3354. 8 indexed citations
15.
Qian, Jing, E May, J Feingold, & Claude Stoll. (1991). A novel BamHI polymorphism for the human transforming growth factor alpha gene (TGF-α). Nucleic Acids Research. 19(23). 6665–6665. 5 indexed citations
16.
17.
Shani, Moshe, E H Birkenmeier, E May, & Norman P. Salzman. (1977). Properties of simian virus 40 transcriptional intermediates isolated from nuclei of permissive cells. Journal of Virology. 23(1). 20–28. 28 indexed citations
18.
Salzman, Norman P., E H Birkenmeier, Norman H. L. Chiu, et al.. (1977). Regulation of transcription during the SV40 lytic cycle.. The Mouseion at the JAXlibrary (Jackson Laboratory). 243. 2 indexed citations
19.
May, E, H. Kopecká, & Pierre May. (1975). Mapping the transcription site of the SV40-specific late 16 S mRNA. Nucleic Acids Research. 2(10). 1995–2006. 34 indexed citations
20.
May, Pierre & E May. (1970). The DNA of Kilham Rat Virus. Journal of General Virology. 6(3). 437–439. 10 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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