V. A. Newell

2.1k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

V. A. Newell is a scholar working on Infectious Diseases, Epidemiology and Small Animals. According to data from OpenAlex, V. A. Newell has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Epidemiology and 1 paper in Small Animals. Recurrent topics in V. A. Newell's work include Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (7 papers) and Nail Diseases and Treatments (2 papers). V. A. Newell is often cited by papers focused on Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (7 papers) and Nail Diseases and Treatments (2 papers). V. A. Newell collaborates with scholars based in United States, United Kingdom and Brazil. V. A. Newell's co-authors include Daniel J. Diekema, Michael A. Pfaller, David L. Gibbs, Fu Wang, Viviana Cristina Tullio, David Ellis, Arnaldo Lopes Colombo, Н Н Климко, D Dzierżanowska and Bijie Hu and has published in prestigious journals such as Journal of Clinical Microbiology and Biomédica.

In The Last Decade

V. A. Newell

8 papers receiving 1.6k citations

Hit Papers

Results from the ARTEMIS DISK Global Antifungal Surveilla... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. A. Newell United States 8 1.4k 1.1k 184 182 141 8 1.6k
Belinda Calvo Venezuela 5 1.5k 1.1× 1.2k 1.1× 185 1.0× 148 0.8× 131 0.9× 9 1.6k
Rindidzani E. Magobo South Africa 11 1.3k 1.0× 1.1k 1.0× 171 0.9× 136 0.7× 106 0.8× 22 1.6k
Bansidhar Tarai India 18 1.5k 1.1× 1.1k 1.0× 196 1.1× 123 0.7× 114 0.8× 62 1.9k
Robert K. McAtee United States 12 1.1k 0.8× 847 0.8× 149 0.8× 97 0.5× 130 0.9× 17 1.3k
Anupam Prakash India 16 2.0k 1.5× 1.7k 1.6× 190 1.0× 318 1.7× 170 1.2× 29 2.2k
Adrien Székely United Kingdom 24 1.4k 1.0× 1.1k 1.0× 260 1.4× 363 2.0× 156 1.1× 30 1.8k
Milena Kordalewska United States 16 1.3k 1.0× 1.0k 0.9× 125 0.7× 171 0.9× 104 0.7× 27 1.4k
Cristina Jiménez‐Ortigosa United States 16 1.4k 1.1× 1.1k 1.0× 179 1.0× 169 0.9× 70 0.5× 23 1.6k
Xin Fan China 22 928 0.7× 793 0.7× 199 1.1× 141 0.8× 99 0.7× 62 1.3k
Leticia Bernal‐Martínez Spain 21 1.1k 0.8× 886 0.8× 96 0.5× 293 1.6× 47 0.3× 29 1.3k

Countries citing papers authored by V. A. Newell

Since Specialization
Citations

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

Fields of papers citing papers by V. A. Newell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. A. Newell. 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 V. A. Newell. The network helps show where V. A. Newell may publish in the future.

Co-authorship network of co-authors of V. A. Newell

This figure shows the co-authorship network connecting the top 25 collaborators of V. A. Newell. A scholar is included among the top collaborators of V. A. Newell 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 V. A. Newell. V. A. Newell 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.
Pfaller, Michael A., Daniel J. Diekema, David L. Gibbs, et al.. (2010). Results from the ARTEMIS DISK Global Antifungal Surveillance Study, 1997 to 2007: a 10.5-Year Analysis of Susceptibilities of Candida Species to Fluconazole and Voriconazole as Determined by CLSI Standardized Disk Diffusion. Journal of Clinical Microbiology. 48(4). 1366–1377. 554 indexed citations breakdown →
2.
Pfaller, Michael A., Daniel J. Diekema, David L. Gibbs, et al.. (2008). Geographic and Temporal Trends in Isolation and Antifungal Susceptibility of Candida parapsilosis : a Global Assessment from the ARTEMIS DISK Antifungal Surveillance Program, 2001 to 2005. Journal of Clinical Microbiology. 46(3). 842–849. 95 indexed citations
5.
Pfaller, Michael A., Daniel J. Diekema, David L. Gibbs, et al.. (2007). Candida krusei , a Multidrug-Resistant Opportunistic Fungal Pathogen: Geographic and Temporal Trends from the ARTEMIS DISK Antifungal Surveillance Program, 2001 to 2005. Journal of Clinical Microbiology. 46(2). 515–521. 188 indexed citations
6.
Pfaller, Michael A., Daniel J. Diekema, Arnaldo Lopes Colombo, et al.. (2006). Candida rugosa , an Emerging Fungal Pathogen with Resistance to Azoles: Geographic and Temporal Trends from the ARTEMIS DISK Antifungal Surveillance Program. Journal of Clinical Microbiology. 44(10). 3578–3582. 70 indexed citations
7.
Pfaller, Michael A., Daniel J. Diekema, Christopher C. Kibbler, et al.. (2006). Candida guilliermondii , an Opportunistic Fungal Pathogen with Decreased Susceptibility to Fluconazole: Geographic and Temporal Trends from the ARTEMIS DISK Antifungal Surveillance Program. Journal of Clinical Microbiology. 44(10). 3551–3556. 145 indexed citations
8.
Bedout, Catalina de, et al.. (2003). Evaluación de la susceptibilidad de especies de Candida al fluconazol por el método de difusión de disco.. Biomédica. 23(1). 31–31. 25 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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