Louis DiDone

990 total citations
19 papers, 804 citations indexed

About

Louis DiDone is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Louis DiDone has authored 19 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 12 papers in Molecular Biology and 12 papers in Epidemiology. Recurrent topics in Louis DiDone's work include Antifungal resistance and susceptibility (13 papers), Fungal Infections and Studies (11 papers) and Fungal and yeast genetics research (4 papers). Louis DiDone is often cited by papers focused on Antifungal resistance and susceptibility (13 papers), Fungal Infections and Studies (11 papers) and Fungal and yeast genetics research (4 papers). Louis DiDone collaborates with scholars based in United States and France. Louis DiDone's co-authors include Damian J. Krysan, Melanie Wellington, Kristy Koselny, Karen L. de Mesy Bentley, Bonnie K. Baxter, Yeissa Chabrier‐Roselló, Arielle Butts, Sara Montgomery, Paul M. Dunman and Anna C. Jacobs and has published in prestigious journals such as PLoS ONE, Genetics and Nature Protocols.

In The Last Decade

Louis DiDone

19 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Louis DiDone United States 17 449 367 328 127 98 19 804
Sheena D. Singh-Babak Canada 7 556 1.2× 367 1.0× 318 1.0× 44 0.3× 52 0.5× 7 826
Lucimar F. Kneipp Brazil 17 323 0.7× 400 1.1× 207 0.6× 107 0.8× 108 1.1× 31 734
Keunsook K. Lee United Kingdom 11 524 1.2× 365 1.0× 262 0.8× 42 0.3× 68 0.7× 13 811
Azusa Takahashi‐Nakaguchi Japan 23 404 0.9× 273 0.7× 348 1.1× 158 1.2× 123 1.3× 63 1.1k
Frank J. Smith United States 12 547 1.2× 362 1.0× 567 1.7× 48 0.4× 82 0.8× 19 1.0k
Jinglin Lucy Xie Canada 12 388 0.9× 271 0.7× 367 1.1× 42 0.3× 41 0.4× 14 739
Shamoon Naseem United States 17 303 0.7× 201 0.5× 260 0.8× 74 0.6× 48 0.5× 21 659
Mark Ramsdale United Kingdom 13 495 1.1× 269 0.7× 498 1.5× 50 0.4× 71 0.7× 21 1.1k
Padmaja Paderu United States 13 491 1.1× 362 1.0× 168 0.5× 47 0.4× 45 0.5× 17 727
Katsura Hata Japan 10 705 1.6× 596 1.6× 166 0.5× 135 1.1× 113 1.2× 17 916

Countries citing papers authored by Louis DiDone

Since Specialization
Citations

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

Fields of papers citing papers by Louis DiDone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Louis DiDone

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

All Works

19 of 19 papers shown
1.
DiDone, Louis, et al.. (2017). Antifungal Phenothiazines: Optimization, Characterization of Mechanism, and Modulation of Neuroreceptor Activity. ACS Infectious Diseases. 4(4). 499–507. 31 indexed citations
2.
Koselny, Kristy, Louis DiDone, Annette W. Fothergill, et al.. (2016). The Celecoxib Derivative AR-12 Has Broad-Spectrum Antifungal Activity In Vitro and Improves the Activity of Fluconazole in a Murine Model of Cryptococcosis. Antimicrobial Agents and Chemotherapy. 60(12). 7115–7127. 70 indexed citations
3.
DiDone, Louis, Jennifer M. Colquhoun, Jeremy W. Schroeder, et al.. (2016). Complex Haploinsufficiency-Based Genetic Analysis of the NDR/Lats Kinase Cbk1 Provides Insight into Its Multiple Functions in Candida albicans. Genetics. 203(3). 1217–1233. 8 indexed citations
4.
Koselny, Kristy, et al.. (2016). Antitumor/Antifungal Celecoxib Derivative AR-12 is a Non-Nucleoside Inhibitor of the ANL-Family Adenylating Enzyme Acetyl CoA Synthetase. ACS Infectious Diseases. 2(4). 268–280. 41 indexed citations
5.
Hartland, Kate, Jun Pu, Michelle Palmer, et al.. (2015). High-Throughput Screen in Cryptococcus neoformans Identifies a Novel Molecular Scaffold That Inhibits Cell Wall Integrity Pathway Signaling. ACS Infectious Diseases. 2(1). 93–102. 17 indexed citations
6.
Butts, Arielle, Jennifer A. Martin, Louis DiDone, et al.. (2015). Structure-Activity Relationships for the Antifungal Activity of Selective Estrogen Receptor Antagonists Related to Tamoxifen. PLoS ONE. 10(5). e0125927–e0125927. 21 indexed citations
7.
Forbes, Lauren, Louis DiDone, Shaogang Li, et al.. (2015). A High Throughput Screening Assay for Anti-Mycobacterial Small Molecules Based on Adenylate Kinase Release as a Reporter of Cell Lysis. PLoS ONE. 10(6). e0129234–e0129234. 22 indexed citations
8.
Pu, Jun, Damian J. Krysan, Louis DiDone, et al.. (2015). Discovery and Evaluation of Fungicidal Anti-Cryptococcal Molecules. 1 indexed citations
9.
Butts, Arielle, Kristy Koselny, Yeissa Chabrier‐Roselló, et al.. (2014). Estrogen Receptor Antagonists Are Anti-Cryptococcal Agents That Directly Bind EF Hand Proteins and Synergize with FluconazoleIn Vivo. mBio. 5(1). e00765–13. 82 indexed citations
10.
Chabrier‐Roselló, Yeissa, Kimberly J. Gerik, Kristy Koselny, et al.. (2012). Cryptococcus neoformans Phosphoinositide-Dependent Kinase 1 (PDK1) Ortholog Is Required for Stress Tolerance and Survival in Murine Phagocytes. Eukaryotic Cell. 12(1). 12–22. 27 indexed citations
11.
12.
Jacobs, Anna C., et al.. (2012). Adenylate Kinase Release as a High-Throughput-Screening-Compatible Reporter of Bacterial Lysis for Identification of Antibacterial Agents. Antimicrobial Agents and Chemotherapy. 57(1). 26–36. 57 indexed citations
13.
Baxter, Bonnie K., et al.. (2011). Identification, in Vitro Activity and Mode of Action of Phosphoinositide-Dependent-1 Kinase Inhibitors as Antifungal Molecules. ACS Chemical Biology. 6(5). 502–510. 51 indexed citations
14.
15.
DiDone, Louis, et al.. (2010). A high-throughput assay of yeast cell lysis for drug discovery and genetic analysis. Nature Protocols. 5(6). 1107–1114. 19 indexed citations
16.
Miller, Kelly A., Louis DiDone, & Damian J. Krysan. (2010). Extracellular Secretion of Overexpressed Glycosylphosphatidylinositol-Linked Cell Wall Protein Utr2/Crh2p as a Novel Protein Quality Control Mechanism in Saccharomyces cerevisiae. Eukaryotic Cell. 9(11). 1669–1679. 23 indexed citations
17.
Montgomery, Sara, et al.. (2009). Antifungal Activity of Tamoxifen: In Vitro and In Vivo Activities and Mechanistic Characterization. Antimicrobial Agents and Chemotherapy. 53(8). 3337–3346. 86 indexed citations
18.
19.
Krysan, Damian J. & Louis DiDone. (2008). A High-Throughput Screening Assay for Small Molecules That Disrupt Yeast Cell Integrity. SLAS DISCOVERY. 13(7). 657–664. 32 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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