JOHN P. MOORE

3.7k citations
7 papers · 3.0k indexed · 1 hit paper · h-index 7
Topics
HIV Research and Treatment (7 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Immune Cell Function and Interaction (3 papers)

In The Last Decade

JOHN P. MOORE

7 papers receiving 3.0k citations

Hit Papers

HIV-1 entry into CD4+ cells is mediated by the chemokine ...1996202620062016199650010001.5k2.0k2.5k

Peers

JOHN P. MOORE
Comparison fields: 5 of 93
  • Virology 2.5k
  • Immunology 1.8k
  • Infectious Diseases 1.0k
  • Molecular Biology 510
  • Epidemiology 426
Replace Charmagne Cayanan with:
Charmagne Cayanan United States
Paul E. Kennedy United States
Yanjie Yi United States
P Di Marzio United States
Ghalib Alkhatib United States
Connor Hill United States
Virginia Litwin United States
Yu Feng United States
Fiorenza Cocchi United States
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JOHN P. MOORE relative to Charmagne Cayanan United States Charmagne Cayanan's profile →
Citations per field
00.5×1.5×
Charmagne Cayanan · 1×
Citations per year

Countries citing papers authored by JOHN P. MOORE

Since Specialization
Citations

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

Fields of papers citing papers by JOHN P. MOORE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JOHN P. 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 JOHN P. MOORE. The network helps show where JOHN P. MOORE may publish in the future.

Co-authorship network of co-authors of JOHN P. MOORE

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 197
2 40
3
HIV-1 entry into CD4+ cells is mediated by the chemokine receptor CC-CKR-5breakdown →
2625
4 40
5 36
6 32
7 76

About JOHN P. MOORE

JOHN P. MOORE is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 7 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Virology (2.5k citations), Immunology (1.8k citations) and Infectious Diseases (1.0k citations). JOHN P. MOORE has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Yaoxing Huang, William A. Paxton, Tatjana Dragic, Richard A. Koup, Kirsten Nagashima, Virginia Litwin, Charmagne Cayanan, Paul J. Maddon, Graham P. Allaway and Stephen J. O’Brien. Their work appears in journals such as Nature, Immunological Reviews and AIDS Research and Human Retroviruses.

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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