E May

2.0k citations
41 papers · 1.7k · h-index 23

Impact in

Papers in

    • Polyomavirus and related diseases 12
    • Cancer-related Molecular Pathways 8
    • RNA Interference and Gene Delivery 3
    • Molecular Biology Techniques and Applications 3

E May

40 papers receiving 1.5k citations

Peers

E May
Comparison fields: 5 of 101
  • Oncology 890
  • Cancer Research 239
  • Biotechnology 145
  • Molecular Biology 947
  • Genetics 365
Replace H L Ozer with:
H L Ozer United States
Harvey L. Ozer United States
Warren Maltzman United States
Kinichiro Oda Japan
Srilata Bagchi United States
Wendy W. Colby United States
Zelig Rabinowitz Israel
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside E May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E May Line = papers co-authored together E May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993300
2 1979271
3 201192
4 201191
5
Concomitant p53 gene mutation and increased radiosensitivity in rat lung embryo epithelial cells during neoplastic development.
199489
6 197483
7 198452
8 199051
9 199347
10
p53 mutations in Raji cells: characterization and localization relative to other Burkitt's lymphomas.
199246
11 200645
12 200742
13
Analysis of the p53 gene in European hepatocellular carcinomas and hepatoblastomas.
199340
14 197534
15
Endogenous HeLa p53 proteins are easily detected in HeLa cells transfected with mouse deletion mutant p53 gene.
199133
16 200731
17 197431
18 197928
19 197728
20 198127

About E May

E May is a scholar working on Oncology, Molecular Biology, Genetics, Ecology and Animal Science and Zoology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (12 papers), Cancer-related Molecular Pathways (8 papers), Virus-based gene therapy research (8 papers), Bacteriophages and microbial interactions (7 papers), Animal Virus Infections Studies (4 papers), RNA Interference and Gene Delivery (3 papers), Molecular Biology Techniques and Applications (3 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Oncology (890 citations), Cancer Research (239 citations), Biotechnology (145 citations), Molecular Biology (947 citations) and Genetics (365 citations). E May has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Pierre May, Michel Kress, R. Cassingéna, Elisheva Yonish-Rouach, Adi Kimchi, Moshe Oren, J. J. Lawrence, Sylvia Wilder, Didier Grünwald and Robert Weil. Their work appears in journals such as Journal of Virology, Nucleic Acids Research, Cold Spring Harbor Symposia on Quantitative Biology, Cell Death and Differentiation and Molecular and Cellular Biology.

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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