Deborah J. Mays

1.8k citations
14 papers · 1.5k indexed · h-index 13

Deborah J. Mays

14 papers receiving 1.5k citations

Peers

Deborah J. Mays
Comparison fields: 5 of 86
  • Molecular Biology 1.1k
  • Oncology 717
  • Surgery 202
  • Cell Biology 173
  • Cancer Research 151
Replace Elisabeth Heere‐Ress with:
Elisabeth Heere‐Ress Austria
Yari Ciribilli Italy
Shu‐Fen Chiang Taiwan
K A Won United States
Xiangcang Ye United States
Wenge Lu United States
M. J. Birrer United States
Toshihiko Ohtomo Japan
P. J. Quesenberry United States
Florence A. Scholl Switzerland
Deborah J. Mays relative to Elisabeth Heere‐Ress Austria Elisabeth Heere‐Ress's profile →
Citations per field
00.5×3.9×
Elisabeth Heere‐Ress · 1×
Citations per year

Countries citing papers authored by Deborah J. Mays

Since Specialization
Citations

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

Fields of papers citing papers by Deborah J. Mays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah J. Mays

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 113
2 20
3 57
4 87
5 73
6 49
7 31
8 5
9 275
10 158
11
Defective G1-S cell cycle checkpoint function sensitizes cells to microtubule inhibitor-induced apoptosis.
87
12
Helicobacter pylori strain-specific genotypes and modulation of the gastric epithelial cell cycle.
179
13 202
14 162

About Deborah J. Mays

Deborah J. Mays is a scholar working on Oncology, Cell Biology and Biotechnology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Epigenetics and DNA Methylation (3 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Oncology (717 citations), Molecular Biology (1.1k citations) and Biotechnology (123 citations). Deborah J. Mays has collaborated with scholars based in United States. Frequent co-authors include Jennifer A. Pietenpol, Matthew D Westfall, Joseph C. Sniezek, Suzanne Szak, Louis H. Philipson, Michael M. Tamkun, Jennifer M. Rosenbluth, Christopher J. Keefer, Steven D. Leach and Caroline D. Scatena. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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