Andrew B. Feldman

1.1k total citations
31 papers, 685 citations indexed

About

Andrew B. Feldman is a scholar working on Molecular Biology, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Andrew B. Feldman has authored 31 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Biomedical Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Andrew B. Feldman's work include Nonlinear Dynamics and Pattern Formation (5 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). Andrew B. Feldman is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (5 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). Andrew B. Feldman collaborates with scholars based in United States, China and Canada. Andrew B. Feldman's co-authors include Jeffrey S. Lin, Plamen A. Demirev, Miquel D. Antoine, Paul J. Kowalski, Richard J. Cohen, Fernando J. Pineda, Joany Jackman, Christiane E. Wobus, Assaf Rotem and Nirbhay Kumar and has published in prestigious journals such as Analytical Chemistry, Journal of Virology and Biophysical Journal.

In The Last Decade

Andrew B. Feldman

29 papers receiving 664 citations

Peers

Andrew B. Feldman
Jeffrey S. Lin United States
Felix Wong United States
Kyung Hyun Lee South Korea
Robin Pearce United States
Elizabeth B. Neuhaus United States
J. F. Young United States
Handuo Shi United States
Jeffrey S. Lin United States
Andrew B. Feldman
Citations per year, relative to Andrew B. Feldman Andrew B. Feldman (= 1×) peers Jeffrey S. Lin

Countries citing papers authored by Andrew B. Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Andrew B. Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew B. Feldman. 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 Andrew B. Feldman. The network helps show where Andrew B. Feldman may publish in the future.

Co-authorship network of co-authors of Andrew B. Feldman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew B. Feldman. A scholar is included among the top collaborators of Andrew B. Feldman 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 Andrew B. Feldman. Andrew B. Feldman 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.
Klein, Eili, Adrian W.R. Serohijos, Eugene I. Shakhnovich, et al.. (2018). Stability of the Influenza Virus Hemagglutinin Protein Correlates with Evolutionary Dynamics. mSphere. 3(1). 27 indexed citations
2.
Julian, Timothy R., Joseph D. Baugher, Abimbola O. Kolawole, et al.. (2015). Murine norovirus (MNV-1) exposure in vitro to the purine nucleoside analog Ribavirin increases quasispecies diversity. Virus Research. 211. 165–173. 5 indexed citations
3.
Tao, Ye, Assaf Rotem, Huidan Zhang, et al.. (2015). Rapid, targeted and culture-free viral infectivity assay in drop-based microfluidics. Lab on a Chip. 15(19). 3934–3940. 51 indexed citations
4.
Choi, Jeong‐Mo, Adrian W.R. Serohijos, Sean Murphy, et al.. (2015). Minimalistic Predictor of Protein Binding Energy: Contribution of Solvation Factor to Protein Binding. Biophysical Journal. 108(4). 795–798. 18 indexed citations
5.
Tao, Ye, Assaf Rotem, Huidan Zhang, et al.. (2015). Artifact‐Free Quantification and Sequencing of Rare Recombinant Viruses by Using Drop‐Based Microfluidics. ChemBioChem. 16(15). 2167–2171. 22 indexed citations
6.
Fischer, Audrey, Assaf Rotem, Connie B. Chang, et al.. (2014). A high-throughput drop microfluidic system for virus culture and analysis. Journal of Virological Methods. 213. 111–117. 24 indexed citations
7.
Feldman, Andrew B., J. E. Simsarian, & Peter J. Winzer. (2014). Selective randomized load balancing outperforms VPN-tree routing for disparate demand and link granularities. 5. 1–8. 1 indexed citations
8.
Kolawole, Abimbola O., Ming Li, Chunsheng Xia, et al.. (2014). Flexibility in Surface-Exposed Loops in a Virus Capsid Mediates Escape from Antibody Neutralization. Journal of Virology. 88(8). 4543–4557. 32 indexed citations
10.
Demirev, Plamen A., Nathan Hagan, Miquel D. Antoine, Jeffrey S. Lin, & Andrew B. Feldman. (2013). Establishing Drug Resistance in Microorganisms by Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 24(8). 1194–1201. 30 indexed citations
11.
Sosa, Maria X., I.K. Ashok Sivakumar, Samantha Maragh, et al.. (2012). Next-Generation Sequencing of Human Mitochondrial Reference Genomes Uncovers High Heteroplasmy Frequency. PLoS Computational Biology. 8(10). e1002737–e1002737. 56 indexed citations
12.
Demirev, Plamen A., Andrew B. Feldman, & Jeffrey S. Lin. (2005). chemical and biological Weapons: current concepts for Future Defenses. Johns Hopkins APL technical digest. 26(4). 321–333. 8 indexed citations
13.
Demirev, Plamen A., Andrew B. Feldman, Paul J. Kowalski, & Jeffrey S. Lin. (2005). Top-Down Proteomics for Rapid Identification of Intact Microorganisms. Analytical Chemistry. 77(22). 7455–7461. 96 indexed citations
14.
Nyunt, Myaing M., John M. Pisciotta, Andrew B. Feldman, et al.. (2005). DETECTION OF PLASMODIUM FALCIPARUM IN PREGNANCY BY LASER DESORPTION MASS SPECTROMETRY. American Journal of Tropical Medicine and Hygiene. 73(3). 485–490. 24 indexed citations
15.
Feldman, Andrew B., et al.. (2004). Simulation of Integrated Physiology Based on an Astronaut Exercise Protocol. Johns Hopkins APL technical digest. 25(3). 201–213. 3 indexed citations
16.
Demirev, Plamen A., Andrew B. Feldman, & Jeffrey S. Lin. (2004). Bioinformatics-based strategies for rapid microorganism identification by mass spectrometry. Johns Hopkins APL technical digest. 25(1). 27–37. 13 indexed citations
17.
Armoundas, Antonis A., Andrew B. Feldman, Ramakrishna Mukkamala, & Richard J. Cohen. (2003). A Single Equivalent Moving Dipole Model: An Efficient Approach for Localizing Sites of Origin of Ventricular Electrical Activation. Annals of Biomedical Engineering. 31(5). 564–576. 37 indexed citations
18.
Feldman, Andrew B., Miquel D. Antoine, Jeffrey S. Lin, & Plamen A. Demirev. (2003). Covariance mapping in matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry. Rapid Communications in Mass Spectrometry. 17(9). 991–995. 14 indexed citations
19.
Feldman, Andrew B.. (1997). Spiral waves in a discrete model of excitable media. PhDT. 746.
20.
Feldman, Andrew B., et al.. (1997). Correspondence between discrete and continuous models of excitable media:mTrigger waves. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 55(3). 3215–3233. 11 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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