E May

2.0k citations
40 papers · 1.6k indexed · h-index 22

Impact in

Papers in

    • Polyomavirus and related diseases 11
    • Cancer-related Molecular Pathways 8
    • Virus-based gene therapy research 8

E May

39 papers receiving 1.5k citations

Peers

E May
Comparison fields: 5 of 103
  • Oncology 913
  • Cancer Research 265
  • Biotechnology 151
  • Molecular Biology 948
  • Genetics 366
Replace H L Ozer with:
H L Ozer United States
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Charlotte M. Fryling United States
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Chun Jeih Ryu South Korea
K Segawa Japan
Berthold Henglein France
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Citations per field
00.5×2.9×
H L Ozer · 1×
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993287
2 1979257
3 201190
4 201188
5
Concomitant p53 gene mutation and increased radiosensitivity in rat lung embryo epithelial cells during neoplastic development.
199485
6 197475
7 199050
8 198448
9 199346
10
p53 mutations in Raji cells: characterization and localization relative to other Burkitt's lymphomas.
199245
11 200644
12 200741
13
Analysis of the p53 gene in European hepatocellular carcinomas and hepatoblastomas.
199336
14 197534
15 200731
16
Endogenous HeLa p53 proteins are easily detected in HeLa cells transfected with mouse deletion mutant p53 gene.
199131
17 197728
18 197927
19 197425
20 198125

About E May

E May is a scholar working on Oncology, Genetics, Animal Science and Zoology, Ecology and Cancer Research, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (11 papers), Virus-based gene therapy research (8 papers), Cancer-related Molecular Pathways (8 papers), Bacteriophages and microbial interactions (7 papers), Animal Virus Infections Studies (4 papers), Plant Virus Research Studies (3 papers), Molecular Biology Techniques and Applications (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Oncology (913 citations), Cancer Research (265 citations), Biotechnology (151 citations), Molecular Biology (948 citations) and Genetics (366 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, Moshe Oren, Sylvia Wilder, J. J. Lawrence, Didier Grünwald, Adi Kimchi and Norman P. Salzman. Their work appears in journals such as Journal of Virology, Nucleic Acids Research, British Journal of Cancer, Molecular and Cellular Biology and Cell Death and Differentiation.

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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