JOHN P. MOORE

3.7k total citations · 1 hit paper
7 papers, 3.0k citations indexed

About

JOHN P. MOORE is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, JOHN P. MOORE has authored 7 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Virology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology. Recurrent topics in JOHN P. MOORE's work include HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immune Cell Function and Interaction (3 papers). JOHN P. MOORE is often cited by papers focused on HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immune Cell Function and Interaction (3 papers). JOHN P. MOORE collaborates with scholars based in United States, United Kingdom and Switzerland. JOHN P. MOORE's 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 and has published in prestigious journals such as Nature, Immunological Reviews and AIDS Research and Human Retroviruses.

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 ... 1996 2026 2006 2016 1996 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
JOHN P. MOORE United States 7 2.5k 1.8k 1.0k 510 426 7 3.0k
Paul E. Kennedy United States 13 2.1k 0.9× 1.8k 1.0× 924 0.9× 493 1.0× 693 1.6× 33 3.2k
Charmagne Cayanan United States 11 2.7k 1.1× 1.9k 1.0× 1.0k 1.0× 773 1.5× 499 1.2× 13 3.5k
Yanjie Yi United States 20 2.5k 1.0× 2.0k 1.1× 1.1k 1.1× 752 1.5× 445 1.0× 43 3.4k
Fiorenza Cocchi United States 15 2.4k 1.0× 2.1k 1.2× 798 0.8× 494 1.0× 601 1.4× 26 3.4k
Wolfgang Hofmann United States 11 1.6k 0.7× 1.1k 0.6× 602 0.6× 448 0.9× 358 0.8× 11 2.1k
Connor Hill United States 7 2.8k 1.1× 2.1k 1.2× 1.1k 1.1× 732 1.4× 533 1.3× 12 3.6k
Shawn E. Kuhmann United States 21 2.6k 1.1× 1.4k 0.8× 1.5k 1.5× 673 1.3× 454 1.1× 24 3.0k
Virginia Litwin United States 19 2.2k 0.9× 2.8k 1.5× 915 0.9× 766 1.5× 647 1.5× 34 4.3k
Simon Monard United States 18 2.0k 0.8× 2.0k 1.1× 760 0.8× 544 1.1× 854 2.0× 29 3.4k
Hiromi Imamichi United States 27 2.1k 0.8× 1.2k 0.7× 1.4k 1.3× 588 1.2× 571 1.3× 48 3.0k

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
1.
O’Brien, Stephen J. & JOHN P. MOORE. (2000). The effect of genetic variation in chemokines and their receptorson HIV transmission and progression to AIDS. Immunological Reviews. 177(1). 99–111. 197 indexed citations
2.
Fouts, Timothy, Alexandra Trkola, Michael Fung, & JOHN P. MOORE. (1998). Interactions of Polyclonal and Monoclonal Anti-Glycoprotein 120 Antibodies with Oligomeric Glycoprotein 120-Glycoprotein 41 Complexes of a Primary HIV Type 1 Isolate: Relationship to Neutralization. AIDS Research and Human Retroviruses. 14(7). 591–597. 40 indexed citations
3.
Dragic, Tatjana, Virginia Litwin, Graham P. Allaway, et al.. (1996). HIV-1 entry into CD4+ cells is mediated by the chemokine receptor CC-CKR-5. Nature. 381(6584). 667–673. 2625 indexed citations breakdown →
4.
Scandella, Carl J., J. Michael Kilpatrick, Charles Thomas Parker, et al.. (1993). Nonaffinity Purification of Recombinant gp120 for Use in AIDS Vaccine Development. AIDS Research and Human Retroviruses. 9(12). 1233–1244. 40 indexed citations
5.
6.
McKeating, Jane A., JOHN P. MOORE, Morag Ferguson, et al.. (1992). Monoclonal Antibodies to the C4 Region of Human Immunodeficiency Virus Type 1 gp120: Use in Topological Analysis of a CD4 Binding Site. AIDS Research and Human Retroviruses. 8(4). 451–459. 32 indexed citations
7.
Schulz, Thomas F., Bradford A. Jameson, Lucia Lopalco, et al.. (1992). Conserved Structural Features in the Interaction Between Retroviral Surface and Transmembrane Glycoproteins?. AIDS Research and Human Retroviruses. 8(9). 1571–1580. 76 indexed citations

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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