Daniel S. Palacios

978 total citations · 1 hit paper
7 papers, 687 citations indexed

About

Daniel S. Palacios is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Daniel S. Palacios has authored 7 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Infectious Diseases. Recurrent topics in Daniel S. Palacios's work include Antifungal resistance and susceptibility (2 papers), Biochemical and Molecular Research (2 papers) and Ion channel regulation and function (1 paper). Daniel S. Palacios is often cited by papers focused on Antifungal resistance and susceptibility (2 papers), Biochemical and Molecular Research (2 papers) and Ion channel regulation and function (1 paper). Daniel S. Palacios collaborates with scholars based in United States and Switzerland. Daniel S. Palacios's co-authors include Martin D. Burke, Matthew M. Endo, Brice E. Uno, Kaitlyn Gray, Thomas M. Anderson, David M. Siebert, Grazia Piizzi, Morvarid Mohseni, Carl Uli Bialucha and William Mallet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Medicinal Chemistry.

In The Last Decade

Daniel S. Palacios

7 papers receiving 675 citations

Hit Papers

Amphotericin primarily kills yeast by simply binding ergo... 2012 2026 2016 2021 2012 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. Amphotericin primarily kills yeast by simply binding ergosterol
    2012 442 citations Kaitlyn Gray, Daniel S. Palacios et al. Proceedings of the National Academy of Sciences profile →

Peers

Daniel S. Palacios
Matthew M. Endo United States
Alexander G. Cioffi United States
Kaitlyn Gray United States
Brice E. Uno United States
Ana Amoroso Belgium
Pauline Machebœuf France
Frédérique Pompeo France
Thomas M. Anderson United States
Eugenia N. Olsufyeva Russia
Robin E. B. Lee United States
Matthew M. Endo United States
Daniel S. Palacios
Citations per year, relative to Daniel S. Palacios Daniel S. Palacios (= 1×) peers Matthew M. Endo

Countries citing papers authored by Daniel S. Palacios

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Palacios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Palacios

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Palacios. A scholar is included among the top collaborators of Daniel S. Palacios 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 S. Palacios. Daniel S. Palacios 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.
Palacios, Daniel S.. (2022). Drug Hunting at the Nexus of Medicinal Chemistry and Chemical Biology and the Discovery of Novel Therapeutic Modalities. Journal of Medicinal Chemistry. 65(20). 13594–13613. 3 indexed citations
2.
Palacios, Daniel S., et al.. (2021). Progress in mechanistically novel treatments for schizophrenia. RSC Medicinal Chemistry. 12(9). 1459–1475. 5 indexed citations
3.
Palacios, Daniel S., Erik L. Meredith, Toshio Kawanami, et al.. (2019). Scaffold Morphing Identifies 3-Pyridyl Azetidine Ureas as Inhibitors of Nicotinamide Phosphoribosyltransferase (NAMPT). ACS Medicinal Chemistry Letters. 10(11). 1524–1529. 12 indexed citations
4.
Karpov, Alexei S., Tinya J. Abrams, Joseph A. D’Alessio, et al.. (2018). Nicotinamide Phosphoribosyltransferase Inhibitor as a Novel Payload for Antibody–Drug Conjugates. ACS Medicinal Chemistry Letters. 9(8). 838–842. 29 indexed citations
5.
Gray, Kaitlyn, et al.. (2012). Amphotericin primarily kills yeast by simply binding ergosterol. Proceedings of the National Academy of Sciences. 109(7). 2234–2239. 442 indexed citations breakdown →
6.
Palacios, Daniel S., et al.. (2011). Synthesis-enabled functional group deletions reveal key underpinnings of amphotericin B ion channel and antifungal activities. Proceedings of the National Academy of Sciences. 108(17). 6733–6738. 108 indexed citations
7.
Palacios, Daniel S., Thomas M. Anderson, & Martin D. Burke. (2007). A Post-PKS Oxidation of the Amphotericin B Skeleton Predicted to be Critical for Channel Formation Is Not Required for Potent Antifungal Activity. Journal of the American Chemical Society. 129(45). 13804–13805. 88 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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