Richard G. Moore

14.7k total citations · 4 hit papers
195 papers, 7.9k citations indexed

About

Richard G. Moore is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, Richard G. Moore has authored 195 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Reproductive Medicine, 52 papers in Obstetrics and Gynecology and 50 papers in Oncology. Recurrent topics in Richard G. Moore's work include Ovarian cancer diagnosis and treatment (77 papers), Endometrial and Cervical Cancer Treatments (49 papers) and PARP inhibition in cancer therapy (20 papers). Richard G. Moore is often cited by papers focused on Ovarian cancer diagnosis and treatment (77 papers), Endometrial and Cervical Cancer Treatments (49 papers) and PARP inhibition in cancer therapy (20 papers). Richard G. Moore collaborates with scholars based in United States, United Kingdom and Canada. Richard G. Moore's co-authors include Hazel Hayhurst, John D. Teasdale, Marie Pope, Robert C. Bast, Michael Craig Miller, Susan P. Williams, Zindel V. Segal, Steven J. Skates, Amy Brown and Paul DiSilvestro and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Richard G. Moore

181 papers receiving 7.5k citations

Hit Papers

Metacognitive awareness and prevention of relapse in depr... 2002 2026 2010 2018 2002 2008 2002 2007 200 400 600

Peers

Richard G. Moore
Comparison fields: 5 of 170
  • Reproductive Medicine 2.9k
  • Clinical Psychology 1.8k
  • Obstetrics and Gynecology 1.5k
  • Experimental and Cognitive Psychology 1.5k
  • Surgery 1.1k
Replace Linda S. Cook with:
Linda S. Cook United States
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Citations per field, relative to Richard G. Moore
Richard G. Moore · 1×
Citations per year, relative to Richard G. Moore
Richard G. Moore · 1×

Countries citing papers authored by Richard G. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard G. Moore

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 11
3 2
4 2
5 1
6 1
7 10
8 33
9 19
10 4
11 8
12 2
13 59
14 1
15 4
16 182
17
Metacognitive awareness and prevention of relapse in depression: Empirical evidence. breakdown →
715
18 1
19 1
20 1

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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