Mary Moore

4.4k citations
67 papers · 3.4k indexed · 1 hit paper · h-index 27

Mary Moore

66 papers receiving 3.3k citations

Hit Papers

Gain of function mutations in p537281993202620042015200400600

Peers

Mary Moore
Comparison fields: 5 of 175
  • Oncology 782
  • Biotechnology 226
  • Molecular Biology 1.5k
  • Genetics 569
  • Developmental Biology 41
Replace Haiyan Jiang with:
Haiyan Jiang United States
Kathleen Kelly United States
Robert Busch United States
Robert P. Erickson United States
Lewis J. Smith United States
Hiroshi Satō Japan
Timothy R. Rebbeck United States
Arno G. Motulsky United States
Rachel Allen United Kingdom
David G. Savage United States
Mary Moore relative to Haiyan Jiang United States Haiyan Jiang's profile →
Citations per field
00.5×5.1×
Haiyan Jiang · 1×
Citations per year

Countries citing papers authored by Mary Moore

Since Specialization
Citations

This map shows the geographic impact of Mary 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 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 Moore more than expected).

Fields of papers citing papers by Mary Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 201626
3 2016137
4 201429
5 201313
6 201120
7 201130
8 201112
9 201017
10 2010127
11 200726
12 200632
13 200643
14
The Formation, Destruction, and Spectra of Extraterrestrial Biological and Prebiological Molecules
20041
15 200251
16 1997421
17
Gain of function mutations in p53breakdown →
1993728
18
HIV infection and AIDS in England and Wales: general practitioners' workload and contact with patients.
199011
19 19908
20 199013

About Mary Moore

Mary Moore is a scholar working on Developmental Biology, Health Information Management, Family Practice, Complementary and alternative medicine and Radiation, having authored 67 papers that have together received 3.4k indexed citations. Recurring topics across this work include Innovations in Medical Education (4 papers), Advanced Radiotherapy Techniques (3 papers), Climate variability and models (3 papers), Cancer-related Molecular Pathways (3 papers), Electronic Health Records Systems (3 papers), Glycosylation and Glycoproteins Research (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Health Sciences Research and Education (3 papers). The work is most often cited by research in Oncology (782 citations), Biotechnology (226 citations), Molecular Biology (1.5k citations), Genetics (569 citations) and Developmental Biology (41 citations). Mary Moore has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Arnold J. Levine, Cathy A. Finlay, Dirk P. Dittmer, Gerard P. Zambetti, Angelika K. Teresky, Thomas Shenk, Stephen H. Pilder, John S. Logan, Zhiming Kuang and Peter N. Blossey. Their work appears in journals such as Molecular and Cellular Biology, Annals of Pharmacotherapy, Journal of Consulting and Clinical Psychology, British Journal of Radiology 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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