David Pincus

2.1k total citations
48 papers, 1.4k citations indexed

About

David Pincus is a scholar working on Epidemiology, Clinical Biochemistry and Molecular Biology. According to data from OpenAlex, David Pincus has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 14 papers in Clinical Biochemistry and 11 papers in Molecular Biology. Recurrent topics in David Pincus's work include Bacterial Identification and Susceptibility Testing (14 papers), Plant Pathogens and Fungal Diseases (8 papers) and Advanced Topology and Set Theory (7 papers). David Pincus is often cited by papers focused on Bacterial Identification and Susceptibility Testing (14 papers), Plant Pathogens and Fungal Diseases (8 papers) and Advanced Topology and Set Theory (7 papers). David Pincus collaborates with scholars based in United States, France and China. David Pincus's co-authors include Sylvain Orenga, Sonia Chatellier, Alex van Belkum, Victoria Girard, Ira F. Salkin, Martin Welker, Jean‐Philippe Charrier, Arthur L. James, John D. Perry and Vishnu Chaturvedi and has published in prestigious journals such as Analytical Chemistry, Applied and Environmental Microbiology and Journal of Clinical Microbiology.

In The Last Decade

David Pincus

45 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Pincus United States 22 460 460 366 340 210 48 1.4k
David J. Platt United Kingdom 21 78 0.2× 242 0.5× 238 0.7× 65 0.2× 75 0.4× 69 1.6k
Evan S. Snitkin United States 25 454 1.0× 494 1.1× 1.2k 3.2× 370 1.1× 37 0.2× 80 2.4k
Victoria Girard France 22 378 0.8× 220 0.5× 405 1.1× 402 1.2× 110 0.5× 30 1.2k
Danièle Maubon France 24 854 1.9× 800 1.7× 349 1.0× 196 0.6× 209 1.0× 59 1.6k
Mark Fisher United States 18 489 1.1× 482 1.0× 413 1.1× 245 0.7× 28 0.1× 48 1.5k
Sonia Chatellier France 23 400 0.9× 553 1.2× 331 0.9× 402 1.2× 58 0.3× 41 1.5k
Shafiq ur Rehman Pakistan 23 109 0.2× 352 0.8× 349 1.0× 19 0.1× 11 0.1× 78 1.7k
Christine J. Morrison United States 26 1.4k 3.0× 1.7k 3.6× 414 1.1× 134 0.4× 548 2.6× 43 2.6k
Matthias Willmann Germany 19 230 0.5× 342 0.7× 785 2.1× 302 0.9× 20 0.1× 41 1.8k
N Claire Gordon United Kingdom 20 448 1.0× 520 1.1× 772 2.1× 365 1.1× 20 0.1× 37 2.1k

Countries citing papers authored by David Pincus

Since Specialization
Citations

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

Fields of papers citing papers by David Pincus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Pincus

This figure shows the co-authorship network connecting the top 25 collaborators of David Pincus. A scholar is included among the top collaborators of David Pincus 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 Pincus. David Pincus 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.
Girard, Victoria, Valérie Monnin, Gary W. Procop, et al.. (2021). Multicenter evaluation of the VITEK MS matrix-assisted laser desorption/ionization–time of flight mass spectrometry system for identification of bacteria, including Brucella, and yeasts. European Journal of Clinical Microbiology & Infectious Diseases. 40(9). 1909–1917. 2 indexed citations
2.
Arastehfar, Amir, Brian L. Wickes, Macit İlkit, et al.. (2019). Identification of Mycoses in Developing Countries. Journal of Fungi. 5(4). 90–90. 50 indexed citations
3.
McMullen, Allison R., et al.. (2016). Evaluation of the Vitek MS Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry System for Identification of Clinically Relevant Filamentous Fungi. Journal of Clinical Microbiology. 54(8). 2068–2073. 48 indexed citations
4.
Westblade, Lars F., Omai B. Garner, Karen MacDonald, et al.. (2015). Assessment of Reproducibility of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Bacterial and Yeast Identification. Journal of Clinical Microbiology. 53(7). 2349–2352. 21 indexed citations
5.
Belkum, Alex van, Richard V. Goering, Victoria Girard, et al.. (2014). Microbial Typing by Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry: Do We Need Guidance for Data Interpretation?. Journal of Clinical Microbiology. 53(3). 760–765. 74 indexed citations
6.
Hamid, Ahmed, Alan K. Jarmusch, Valentina Pirro, et al.. (2014). Rapid Discrimination of Bacteria by Paper Spray Mass Spectrometry. Analytical Chemistry. 86(15). 7500–7507. 96 indexed citations
7.
Nie, Shaoping, et al.. (2013). Gonococcal endocarditis: a case report and literature review. European Journal of Clinical Microbiology & Infectious Diseases. 33(1). 23–27. 11 indexed citations
8.
Pincus, David, et al.. (2012). Fungal Diagnostics: Review of Commercially Available Methods. Methods in molecular biology. 968. 25–54. 21 indexed citations
9.
Pincus, David, Sylvain Orenga, & Sonia Chatellier. (2007). Yeast identification – past, present, and future methods. Medical Mycology. 45(2). 97–121. 130 indexed citations
10.
Robson, Jennifer, et al.. (2000). Kingella kingae infections in children. Journal of Paediatrics and Child Health. 36(1). 87–90. 27 indexed citations
11.
Pincus, David, David C. Coleman, W. R. Pruitt, et al.. (1999). Rapid Identification of Candida dubliniensis with Commercial Yeast Identification Systems. Journal of Clinical Microbiology. 37(11). 3533–3539. 103 indexed citations
12.
Hassani, Morad, David Pincus, George N. Bennett, & Irvin N. Hirshfield. (1992). Temperature-dependent induction of an acid-inducible stimulon of Escherichia coli in broth. Applied and Environmental Microbiology. 58(8). 2704–2707. 14 indexed citations
13.
Pincus, David, et al.. (1989). ANATOMY, PHYSIOLOGY, AND ELEMENTARY PHARMACOLOGY OF THE AUTONOMIC NERVOUS SYSTEM. International Anesthesiology Clinics. 27(4). 219–233.
14.
Espinel-Ingroff, Ana, et al.. (1989). Evaluation of the API 20C yeast identification system for the differentiation of some dematiaceous fungi. Journal of Clinical Microbiology. 27(11). 2565–2569. 28 indexed citations
15.
16.
Baker, John G., Ira F. Salkin, David Pincus, & R F D'Amato. (1981). Diagnostic characters of an atypical Candida. Journal of Clinical Microbiology. 13(1). 199–203. 6 indexed citations
17.
Pincus, David, et al.. (1981). Partitions of products. Transactions of the American Mathematical Society. 267(2). 549–568. 6 indexed citations
18.
Pincus, David. (1977). Adding dependent choice. Annals of Mathematical Logic. 11(1). 105–145. 28 indexed citations
19.
Pincus, David & Karel Prikry. (1975). Lusin sets and well ordering the continuum. Proceedings of the American Mathematical Society. 49(2). 429–435. 2 indexed citations
20.
Pincus, David. (1974). On the Independence of the Kinna Wagner Principle. Mathematical logic quarterly. 20(31-33). 503–516. 4 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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