Nicholas A. Cilfone

1.9k total citations
17 papers, 1.1k citations indexed

About

Nicholas A. Cilfone is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Nicholas A. Cilfone has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Nicholas A. Cilfone's work include Tuberculosis Research and Epidemiology (6 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Mycobacterium research and diagnosis (3 papers). Nicholas A. Cilfone is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Mycobacterium research and diagnosis (3 papers). Nicholas A. Cilfone collaborates with scholars based in United States and France. Nicholas A. Cilfone's co-authors include Denise E. Kirschner, Jennifer J. Linderman, Joshua T. Mattila, Simeone Marino, JoAnne L. Flynn, Jeffrey R. Gulcher, Thomas W. Chittenden, Javier L. Baylon, Stephanie Evans and Louis R. Joslyn and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Nicholas A. Cilfone

17 papers receiving 1.1k citations

Peers

Nicholas A. Cilfone
Yaguang Zhang China
Xiaofeng Li China
Wangpeng Gu China
Richard D. Head United States
Claudio Carini United States
Krystal Matthews United States
Soeren Lukassen Germany
Shufeng Liu United States
Scott A. Koepsell United States
Boris Hartmann United States
Yaguang Zhang China
Nicholas A. Cilfone
Citations per year, relative to Nicholas A. Cilfone Nicholas A. Cilfone (= 1×) peers Yaguang Zhang

Countries citing papers authored by Nicholas A. Cilfone

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas A. Cilfone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas A. Cilfone

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

All Works

17 of 17 papers shown
1.
Gujja, Sharvari, et al.. (2021). Quantum processor-inspired machine learning in the biomedical sciences. Patterns. 2(6). 100246–100246. 21 indexed citations
2.
Pradines, Joël, et al.. (2020). Enhancing reproducibility of gene expression analysis with known protein functional relationships: The concept of well-associated protein. PLoS Computational Biology. 16(2). e1007684–e1007684. 2 indexed citations
3.
Gujja, Sharvari, et al.. (2019). Unconventional machine learning of genome-wide human cancer data. arXiv (Cornell University). 3 indexed citations
4.
Ricard, Nicolas, Rizaldy P. Scott, Carmen J. Booth, et al.. (2019). Endothelial ERK1/2 signaling maintains integrity of the quiescent endothelium. The Journal of Experimental Medicine. 216(8). 1874–1890. 48 indexed citations
5.
Baylon, Javier L., Nicholas A. Cilfone, Jeffrey R. Gulcher, & Thomas W. Chittenden. (2019). Enhancing Retrosynthetic Reaction Prediction with Deep Learning Using Multiscale Reaction Classification. Journal of Chemical Information and Modeling. 59(2). 673–688. 80 indexed citations
6.
Ling, Leona, Jan Hillson, Renger G. Tiessen, et al.. (2018). M281, an Anti‐FcRn Antibody: Pharmacodynamics, Pharmacokinetics, and Safety Across the Full Range of IgG Reduction in a First‐in‐Human Study. Clinical Pharmacology & Therapeutics. 105(4). 1031–1039. 108 indexed citations
7.
Cicchese, Joseph M., Stephanie Evans, Caitlin Hult, et al.. (2018). Dynamic balance of pro‐ and anti‐inflammatory signals controls disease and limits pathology. Immunological Reviews. 285(1). 147–167. 233 indexed citations
8.
Ip, Blanche C., Anna C. Belkina, Jason DeFuria, et al.. (2015). Th17 cytokines differentiate obesity from obesity-associated type 2 diabetes and promote TNFα production. DSpace@MIT (Massachusetts Institute of Technology). 38 indexed citations
9.
Ip, Blanche C., Nicholas A. Cilfone, Min Zhu, et al.. (2015). An inflammatory T cell signature predicts obesity-associated type 2 diabetes (HUM3P.262). The Journal of Immunology. 194(1_Supplement). 121.22–121.22. 1 indexed citations
10.
Ip, Blanche C., Nicholas A. Cilfone, Anna C. Belkina, et al.. (2015). Th17 cytokines differentiate obesity from obesity‐associated type 2 diabetes and promote TNFα production. Obesity. 24(1). 102–112. 109 indexed citations
11.
Linderman, Jennifer J., Nicholas A. Cilfone, Elsje Pienaar, Chang Gong, & Denise E. Kirschner. (2015). A multi-scale approach to designing therapeutics for tuberculosis. Integrative Biology. 7(5). 591–609. 27 indexed citations
12.
Pienaar, Elsje, Nicholas A. Cilfone, Philana Ling Lin, et al.. (2014). A computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatment. Journal of Theoretical Biology. 367. 166–179. 57 indexed citations
13.
Cilfone, Nicholas A., Christopher B. Ford, Simeone Marino, et al.. (2014). Computational Modeling Predicts IL-10 Control of Lesion Sterilization by Balancing Early Host Immunity–Mediated Antimicrobial Responses with Caseation during Mycobacterium tuberculosis Infection. The Journal of Immunology. 194(2). 664–677. 60 indexed citations
14.
Cilfone, Nicholas A., Denise E. Kirschner, & Jennifer J. Linderman. (2014). Strategies for Efficient Numerical Implementation of Hybrid Multi-scale Agent-Based Models to Describe Biological Systems. Cellular and Molecular Bioengineering. 8(1). 119–136. 73 indexed citations
15.
Cilfone, Nicholas A., Elsje Pienaar, Denise E. Kirschner, & Jennifer J. Linderman. (2014). Computational Modeling of Granuloma Formation in Tuberculosis Yields Insights into both Infection and Treatment. Biophysical Journal. 106(2). 644a–644a. 2 indexed citations
16.
Marino, Simeone, Nicholas A. Cilfone, Joshua T. Mattila, et al.. (2014). Macrophage Polarization Drives Granuloma Outcome during Mycobacterium tuberculosis Infection. Infection and Immunity. 83(1). 324–338. 139 indexed citations
17.

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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