David S. Perlin

4.1k total citations · 2 hit papers
53 papers, 1.5k citations indexed

About

David S. Perlin is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, David S. Perlin has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 30 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in David S. Perlin's work include Antifungal resistance and susceptibility (29 papers), Fungal Infections and Studies (22 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). David S. Perlin is often cited by papers focused on Antifungal resistance and susceptibility (29 papers), Fungal Infections and Studies (22 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). David S. Perlin collaborates with scholars based in United States, Netherlands and Austria. David S. Perlin's co-authors include Amir Arastehfar, Milena Kordalewska, Martin Hoenigl, Mohammad Taghi Hedayati, Macit İlkit, Farnaz Daneshnia, Agostinho Carvalho, Steven Park, M. Hong Nguyen and Mihai G. Netea and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

David S. Perlin

47 papers receiving 1.5k citations

Hit Papers

The importance of antimicrobial resistance in medical myc... 2022 2026 2023 2024 2022 2023 40 80 120

Peers

David S. Perlin
Belinda Calvo Venezuela
Samuel A. Lee United States
Xin Fan China
V. A. Newell United States
David S. Perlin
Citations per year, relative to David S. Perlin David S. Perlin (= 1×) peers László Majoros

Countries citing papers authored by David S. Perlin

Since Specialization
Citations

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

Fields of papers citing papers by David S. Perlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Perlin

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

All Works

20 of 20 papers shown
1.
Chang, Ching‐Wen, et al.. (2025). A novel cellular tool for screening human pan-coronavirus antivirals. Antiviral Research. 240. 106212–106212.
2.
Álvarez, Nadine, et al.. (2025). Rapid luminescence-based screening method for SARS- CoV-2 inhibitors discovery. SLAS DISCOVERY. 31. 100211–100211.
3.
Arastehfar, Amir, Farnaz Daneshnia, Mostafa Salehi, et al.. (2024). Echinocandin persistence directly impacts the evolution of resistance and survival of the pathogenic fungus Candida glabrata. mBio. 15(4). e0007224–e0007224. 4 indexed citations
4.
Kaufman, Harvey W., William A. Meyer, Nigel J. Clarke, et al.. (2023). Assessing Vulnerability to COVID-19 in High-Risk Populations: The Role of SARS-CoV-2 Spike-Targeted Serology. Population Health Management. 26(1). 29–36. 4 indexed citations
5.
Mediavilla, José R., Annie Lee, Michael C. Zody, et al.. (2023). Molecular and Clinical Epidemiology of SARS-CoV-2 Infection among Vaccinated and Unvaccinated Individuals in a Large Healthcare Organization from New Jersey. Viruses. 15(8). 1699–1699. 4 indexed citations
6.
Perlin, David S., et al.. (2023). Susceptibility of Fat Tissue to SARS-CoV-2 Infection in Female hACE2 Mouse Model. International Journal of Molecular Sciences. 24(2). 1314–1314. 7 indexed citations
7.
Park, Steven, Riccardo Russo, Matthew Zimmerman, et al.. (2022). A Novel Oral GyrB/ParE Dual Binding Inhibitor Effective against Multidrug-Resistant Neisseria gonorrhoeae and Other High-Threat Pathogens. Antimicrobial Agents and Chemotherapy. 66(9). e0041422–e0041422. 8 indexed citations
8.
Yu, Shu-Ying, Padmaja Paderu, Annie Lee, et al.. (2022). Histone Acetylation Regulator Gcn5 Mediates Drug Resistance and Virulence of Candida glabrata. Microbiology Spectrum. 10(3). e0096322–e0096322. 13 indexed citations
9.
Gow, Neil A. R., Judith Berman, Alix T. Coste, et al.. (2022). The importance of antimicrobial resistance in medical mycology. Nature Communications. 13(1). 5352–5352. 136 indexed citations breakdown →
10.
Xiao, Meng, David S. Perlin, Yanan Zhao, et al.. (2022). Decreased echinocandin susceptibility in Candida parapsilosis causing candidemia and emergence of a pan-echinocandin resistant case in China. Emerging Microbes & Infections. 12(1). 37 indexed citations
11.
Perlin, David S., Garry A. Neil, Colleen Anderson, et al.. (2021). Randomized, double-blind, controlled trial of human anti-LIGHT monoclonal antibody in COVID-19 acute respiratory distress syndrome. Journal of Clinical Investigation. 132(3). 21 indexed citations
12.
Jiménez‐Ortigosa, Cristina, Jennifer Jiang, Muyuan Chen, et al.. (2021). Cryo-Electron Tomography of Candida glabrata Plasma Membrane Proteins. Journal of Fungi. 7(2). 120–120. 14 indexed citations
13.
14.
Arastehfar, Amir, Maryam Roudbary, Ladan Haghighi, et al.. (2021). A High Rate of Recurrent Vulvovaginal Candidiasis and Therapeutic Failure of Azole Derivatives Among Iranian Women. Frontiers in Microbiology. 12. 655069–655069. 33 indexed citations
15.
Healey, Kelley R., Padmaja Paderu, Xin Hou, et al.. (2020). Differential Regulation of Echinocandin Targets Fks1 and Fks2 in Candida glabrata by the Post-Transcriptional Regulator Ssd1. Journal of Fungi. 6(3). 143–143. 15 indexed citations
16.
Arastehfar, Amir, Farnaz Daneshnia, Mohammadreza Salehi, et al.. (2020). Low level of antifungal resistance of Candida glabrata blood isolates in Turkey: Fluconazole minimum inhibitory concentration and FKS mutations can predict therapeutic failure. Mycoses. 63(9). 911–920. 36 indexed citations
17.
Arastehfar, Amir, Süleyha Hilmioğlu Polat, Farnaz Daneshnia, et al.. (2020). Recent Increase in the Prevalence of Fluconazole-Non-susceptible Candida tropicalis Blood Isolates in Turkey: Clinical Implication of Azole-Non-susceptible and Fluconazole Tolerant Phenotypes and Genotyping. Frontiers in Microbiology. 11. 587278–587278. 29 indexed citations
18.
Tan, Xiaotian, Steven Park, Xuzhou Li, et al.. (2020). Rapid and quantitative detection of SARS-CoV-2 specific IgG for convalescent serum evaluation. Biosensors and Bioelectronics. 169. 112572–112572. 64 indexed citations
19.
Singh, Ashutosh, Kelley R. Healey, Neelam Sachdeva, et al.. (2018). Absence of Azole or Echinocandin Resistance in Candida glabrata Isolates in India despite Background Prevalence of Strains with Defects in the DNA Mismatch Repair Pathway. Antimicrobial Agents and Chemotherapy. 62(6). 46 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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