Andrew Emerson

1.3k total citations
21 papers, 867 citations indexed

About

Andrew Emerson is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Computer Networks and Communications. According to data from OpenAlex, Andrew Emerson has authored 21 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electronic, Optical and Magnetic Materials, 8 papers in Materials Chemistry and 4 papers in Computer Networks and Communications. Recurrent topics in Andrew Emerson's work include Liquid Crystal Research Advancements (8 papers), Material Dynamics and Properties (5 papers) and Protein Structure and Dynamics (3 papers). Andrew Emerson is often cited by papers focused on Liquid Crystal Research Advancements (8 papers), Material Dynamics and Properties (5 papers) and Protein Structure and Dynamics (3 papers). Andrew Emerson collaborates with scholars based in Italy, United Kingdom and Germany. Andrew Emerson's co-authors include Claudio Zannoni, G. R. Luckhurst, Roberto Berardi, Pietro Cozzini, Christoph Sotriffer, Garrett M. Morris, Glen E. Kellogg, Francesca Spyrakis, Menico Rizzi and Donald J. Abraham and has published in prestigious journals such as Journal of the American Chemical Society, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Andrew Emerson

20 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Emerson Italy 14 352 332 288 197 157 21 867
Akbar Nayeem United States 15 101 0.3× 301 0.9× 496 1.7× 84 0.4× 86 0.5× 24 1.0k
T. Fehér Hungary 19 361 1.0× 515 1.6× 933 3.2× 192 1.0× 198 1.3× 47 2.2k
James A. Brozik United States 14 102 0.3× 145 0.4× 226 0.8× 16 0.1× 84 0.5× 46 832
Philippe Ferrara Switzerland 15 35 0.1× 496 1.5× 1.3k 4.4× 348 1.8× 88 0.6× 18 1.6k
Sebastian Thallmair Germany 20 68 0.2× 246 0.7× 691 2.4× 63 0.3× 163 1.0× 47 1.2k
Elena V. Konstantinova Russia 15 20 0.1× 237 0.7× 96 0.3× 228 1.2× 77 0.5× 52 705
Jens M. H. Thomas United Kingdom 13 49 0.1× 344 1.0× 258 0.9× 25 0.1× 192 1.2× 31 931
Joseph N. Kushick United States 11 35 0.1× 409 1.2× 787 2.7× 131 0.7× 89 0.6× 17 1.3k
Piotr Graczyk Poland 14 146 0.4× 63 0.2× 172 0.6× 55 0.3× 230 1.5× 57 751
R. Hernández Mexico 14 193 0.5× 97 0.3× 112 0.4× 28 0.1× 164 1.0× 39 761

Countries citing papers authored by Andrew Emerson

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Emerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Emerson

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Emerson. A scholar is included among the top collaborators of Andrew Emerson 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 Emerson. Andrew Emerson 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.
Chandramouli, Balasubramanian, et al.. (2022). Computational Study of Helicase from SARS-CoV-2 in RNA-Free and Engaged Form. International Journal of Molecular Sciences. 23(23). 14721–14721. 3 indexed citations
2.
Emerson, Andrew, et al.. (2021). Fusobacterium necrophorum Bacteremia With Evidence of Cavitary Pulmonary Lesion. Cureus. 13(11). e19537–e19537. 5 indexed citations
3.
Iakymchuk, Roman, et al.. (2021). Efficient and Eventually Consistent Collective Operations. arXiv (Cornell University). 621–630.
4.
Grottesi, Alessandro, Neva Bešker, Andrew Emerson, et al.. (2020). Computational Studies of SARS-CoV-2 3CLpro: Insights from MD Simulations. International Journal of Molecular Sciences. 21(15). 5346–5346. 45 indexed citations
5.
Malossi, A. Cristiano I., Michael Schaffner, Anca Molnos, et al.. (2018). The transprecision computing paradigm: Concept, design, and applications. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1105–1110. 45 indexed citations
6.
Montanari, Enrico, et al.. (2017). In silico pharmacogenetic approach: The natalizumab case study. Toxicology and Applied Pharmacology. 330. 93–99. 4 indexed citations
7.
Plebani, Roberto, Gavin R. Oliver, Marco Trerotola, et al.. (2012). Long-range Transcriptome Sequencing Reveals Cancer Cell Growth Regulatory Chimeric mRNA. Neoplasia. 14(11). 1087–49. 17 indexed citations
8.
Eberini, Ivano, Andrew Emerson, Cristina Sensi, et al.. (2011). Simulation of urea-induced protein unfolding: A lesson from bovine β-lactoglobulin. Journal of Molecular Graphics and Modelling. 30. 24–30. 12 indexed citations
9.
Cozzini, Pietro, Glen E. Kellogg, Francesca Spyrakis, et al.. (2008). Target Flexibility: An Emerging Consideration in Drug Discovery and Design. Journal of Medicinal Chemistry. 51(20). 6237–6255. 228 indexed citations
10.
Angeli, Celestino, Gian Luigi Bendazzoli, Stefano Borini, et al.. (2007). The problem of interoperability: A common data format for quantum chemistry codes. International Journal of Quantum Chemistry. 107(11). 2082–2091. 28 indexed citations
11.
Borini, Stefano, Antonio Monari, E. Rossi, et al.. (2007). FORTRAN Interface for Code Interoperability in Quantum Chemistry:  The Q5Cost Library. Journal of Chemical Information and Modeling. 47(3). 1271–1277. 27 indexed citations
12.
Brillante, Aldo, Raffaele Guido Della Valle, Luca Farina, et al.. (2005). High-Pressure Dissociation of Crystalline para-Diiodobenzene:  Optical Experiments and Car−Parrinello Calculations. Journal of the American Chemical Society. 127(9). 3038–3043. 15 indexed citations
13.
Emerson, Andrew, S. Faetti, & Claudio Zannoni. (1997). Monte Carlo simulation of the nematic-vapour interface for a Gay-Berne liquid crystal. Chemical Physics Letters. 271(4-6). 241–246. 27 indexed citations
14.
Emerson, Andrew & Claudio Zannoni. (1995). Monte carlo study of Gay–Berne liquid-crystal droplets. Journal of the Chemical Society Faraday Transactions. 91(19). 3441–3447. 20 indexed citations
15.
Emerson, Andrew, et al.. (1994). Computer simulation studies of anisotropic systems. Molecular Physics. 82(1). 113–124. 92 indexed citations
16.
Berardi, Roberto, Andrew Emerson, & Claudio Zannoni. (1993). Monte Carlo investigations of a Gay—Berne liquid crystal. Journal of the Chemical Society Faraday Transactions. 89(22). 4069–4078. 175 indexed citations
17.
Emerson, Andrew, Rauzah Hashim, & G. R. Luckhurst. (1992). Computer simulation studies of anisotropic systems. Molecular Physics. 76(2). 241–250. 33 indexed citations
18.
Emerson, Andrew, G. R. Luckhurst, & R. W. Phippen. (1991). The average shapes of flexible mesogenic molecules On the choice of reference frame. Liquid Crystals. 10(1). 1–14. 6 indexed citations
19.
Emerson, Andrew & G. R. Luckhurst. (1991). On the relative propensities of ether and methylene linkages for liquid crystal formation in calamitics. Liquid Crystals. 10(6). 861–868. 58 indexed citations
20.
Loewenstein, A., et al.. (1990). Deuterium NMR studies ofn-alkyl-β-D-glucopyranosides liquid-crystalline systems. Liquid Crystals. 7(4). 457–474. 14 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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