Daniel Pauletti

953 total citations · 1 hit paper
8 papers, 802 citations indexed

About

Daniel Pauletti is a scholar working on Virology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Daniel Pauletti has authored 8 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Virology, 3 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Daniel Pauletti's work include HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (3 papers) and Phytochemistry and Bioactive Compounds (1 paper). Daniel Pauletti is often cited by papers focused on HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (3 papers) and Phytochemistry and Bioactive Compounds (1 paper). Daniel Pauletti collaborates with scholars based in United States. Daniel Pauletti's co-authors include Kevin Barringer, Jonathan Sullivan, Douglas D. Richman, David J. Looney, Sarah H. Cheeseman, Diane V. Havlir, Jacques Corbeil, Stephen A. Spector, Max Essex and R C Kennedy and has published in prestigious journals such as Science, Analytical Biochemistry and Journal of Virology.

In The Last Decade

Daniel Pauletti

8 papers receiving 753 citations

Hit Papers

Nevirapine resistance mutations of human immunodeficiency... 1994 2026 2004 2015 1994 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nevirapine resistance mutations of human immunodeficiency virus type 1 selected during therapy
    1994 487 citations Douglas D. Richman, Diane V. Havlir et al. Journal of Virology profile →

Peers

Daniel Pauletti
Shigeyoshi Harada Japan
Louise Doyon Canada
Lisa Zadjura United States
Anne V. Broadhurst United Kingdom
Daisy Sun United States
J C Hastings United States
Yi-Fei Gong United States
T K Sawyer United States
Renee Danzeisen United States
Belete A. Desimmie United States
Shigeyoshi Harada Japan
Daniel Pauletti
Citations per year, relative to Daniel Pauletti Daniel Pauletti (= 1×) peers Shigeyoshi Harada

Countries citing papers authored by Daniel Pauletti

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pauletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Pauletti

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

All Works

8 of 8 papers shown
1.
Hudkins, Robert L., Allison L. Zulli, Ted L. Underiner, et al.. (2010). 8-THP-DHI analogs as potent Type I dual TIE-2/VEGF-R2 receptor tyrosine kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 20(11). 3356–3360. 9 indexed citations
2.
Kopec, Karla, et al.. (2005). A Homogeneous Assay to Assess GABA Transporter Activity. Current Protocols in Pharmacology. 30(1). Unit1.32–Unit1.32. 2 indexed citations
3.
Cywin, Charles L., Janice M. Klunder, Eva David, et al.. (1998). Novel Nonnucleoside Inhibitors of HIV-1 Reverse Transcriptase. 8. 8-Aryloxymethyl- and 8-Arylthiomethyldipyridodiazepinones. Journal of Medicinal Chemistry. 41(16). 2972–2984. 24 indexed citations
4.
Klunder, Janice M., Charles L. Cywin, Eva David, et al.. (1998). Novel Nonnucleoside Inhibitors of HIV-1 Reverse Transcriptase. 7. 8-Arylethyldipyridodiazepinones as Potent Broad-Spectrum Inhibitors of Wild-Type and Mutant Enzymes. Journal of Medicinal Chemistry. 41(16). 2960–2971. 27 indexed citations
5.
Churchill, Laurie, et al.. (1996). Selective inhibition of human cyclo-oxygenase-2 by meloxicam. Inflammopharmacology. 4(2). 125–135. 73 indexed citations
6.
Richman, Douglas D., Diane V. Havlir, Jacques Corbeil, et al.. (1994). Nevirapine resistance mutations of human immunodeficiency virus type 1 selected during therapy. Journal of Virology. 68(3). 1660–1666. 487 indexed citations breakdown →
7.
Kennedy, R C, Richard D. Henkel, Daniel Pauletti, et al.. (1986). Antiserum to a Synthetic Peptide Recognizes the HTLV-III Envelope Glycoprotein. Science. 231(4745). 1556–1559. 153 indexed citations
8.
Pauletti, Daniel, Robin S. Simmonds, Gordon R. Dreesman, & Ronald C. Kennedy. (1985). Application of a modified computer algorithm in determining potential antigenic determinants associated with the AIDS virus glycoprotein. Analytical Biochemistry. 151(2). 540–546. 27 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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