Penny L. Moore

17.0k citations
144 papers · 5.7k indexed · 2 hit papers · h-index 38

Penny L. Moore

132 papers receiving 5.6k citations

Hit Papers

SARS-CoV-2 501Y.V2 escapes neutralization by South Africa...202120262022202420212022200400600

Peers

Penny L. Moore
Comparison fields: 5 of 132
  • Virology 3.2k
  • Infectious Diseases 2.8k
  • Immunology 2.0k
  • Molecular Biology 1.5k
  • Radiology, Nuclear Medicine and Imaging 988
Replace Robert T. Bailer with:
Robert T. Bailer United States
Jérôme H. Kim United States
Mark J. Newman United States
Béda Joos Switzerland
Shan Lu United States
David C. Kaslow United States
Donald N. Forthal United States
Satish K. Pillai United States
Anu Kantele Finland
Eric Sandström Sweden
Penny L. Moore relative to Robert T. Bailer United States Robert T. Bailer's profile →
Citations per field
00.5×1.5×1.8×
Robert T. Bailer · 1×
Citations per year

Countries citing papers authored by Penny L. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Penny L. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penny L. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Penny L. Moore. A scholar is included among the top collaborators of Penny L. 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 Penny L. Moore. Penny L. 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
#WorkIndexed citations
1 4
2 0
3 5
4 2
5 1
6 2
7 0
8 1
9 51
10 17
11 53
12 10
13 6
14 56
15 1
16 40
17 125
18 45
19 10
20 7

About Penny L. Moore

Penny L. Moore is a scholar working on Virology, Infectious Diseases and Immunology, having authored 144 papers that have together received 5.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (100 papers), Immune Cell Function and Interaction (46 papers) and HIV/AIDS drug development and treatment (31 papers). The work is most often cited by research in Virology (3.2k citations), Infectious Diseases (2.8k citations) and Immunology (2.0k citations). Penny L. Moore has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Lynn Morris, Elin S. Gray, Salim S. Abdool Karim, Carolyn Williamson, Constantinos Kurt Wibmer, Koleka Mlisana, Tandile Hermanus, Bronwen E. Lambson, Michael T. Osterholm and Jinal N. Bhiman. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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