Mary E. Moore

69 papers receiving 3.5k citations

Mary E. Moore's Hit Papers

Gain of function mutations in p53 1993 · 760 citations
7600+11+22Years since publication250500750

Peers

Mary E. Moore
Comparison fields: 5 of 176
  • Oncology 756
  • Biotechnology 214
  • Molecular Biology 1.5k
  • Developmental Biology 49
  • Genetics 580
Replace Yuji Ito with:
Yuji Ito Japan
Francesco Piva Italy
Xiaoli Wang China
Stephen M. Taylor Australia
Katherine Rose Smith Australia
EDUARDO C. SALIDO Spain
Michael J. Butler United States
Jyoti Dhar Malhotra United States
Charles Phillips Emerson United States
Takuma Hashimoto Japan
Mary E. Moore relative to Yuji Ito Japan Yuji Ito's profile →
Citations per field
00.5×2×3×4.5×
Yuji Ito · 1×
Citations per year

Countries citing papers authored by Mary E. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mary E. Moore, 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 Mary E. Moore Line = papers co-authored together Mary E. Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gain of function mutations in p53
Hit paper breakdown →
1993760
2 1997455
3 1986269
4 2016254
5 1998181
6 2016155
7 2010140
8 2013107
9 2002101
10 200293
11 197689
12 199485
13 198678
14 201265
15 200253
16 197847
17 200345
18 199043
19 200643
20 198742

About Mary E. Moore

Mary E. Moore is a scholar working on Rheumatology, Health Information Management, Infectious Diseases, General Health Professions and Complementary and alternative medicine, having authored 72 papers that have together received 3.7k indexed citations. Recurring topics across this work include Health Sciences Research and Education (4 papers), Acupuncture Treatment Research Studies (3 papers), Cancer-related Molecular Pathways (3 papers), Advanced Radiotherapy Techniques (3 papers), Glycosylation and Glycoproteins Research (3 papers), Electronic Health Records Systems (3 papers), Climate variability and models (3 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Oncology (756 citations), Biotechnology (214 citations), Molecular Biology (1.5k citations), Developmental Biology (49 citations) and Genetics (580 citations). Mary E. Moore has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Arnold J. Levine, Gerard P. Zambetti, Angelika K. Teresky, Dirk P. Dittmer, Cathy A. Finlay, Thomas E. Shenk, Stephen H. Pilder, John S. Logan, Peter North Blossey and Zhiming Kuang. Their work appears in journals such as Annals of Internal Medicine, Molecular and Cellular Biology, British Journal of Radiology, Annals of Pharmacotherapy and Nature Genetics.

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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