Alexander M. Sevy

1.9k total citations
15 papers, 527 citations indexed

About

Alexander M. Sevy is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Alexander M. Sevy has authored 15 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Epidemiology. Recurrent topics in Alexander M. Sevy's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (5 papers) and Influenza Virus Research Studies (3 papers). Alexander M. Sevy is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (5 papers) and Influenza Virus Research Studies (3 papers). Alexander M. Sevy collaborates with scholars based in United States and Germany. Alexander M. Sevy's co-authors include Jens Meiler, James E. Crowe, Jessica A. Finn, Robin Bombardi, Pavlo Gilchuk, Robert S. Sinkovits, Cinque Soto, Andre Branchizio, Pranathi Matta and Nurgun Kose and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Alexander M. Sevy

15 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander M. Sevy United States 10 326 189 134 79 75 15 527
Shane Ó Conchúir United States 5 419 1.3× 109 0.6× 50 0.4× 36 0.5× 54 0.7× 6 558
Larissa Doughty Australia 16 410 1.3× 332 1.8× 140 1.0× 74 0.9× 79 1.1× 19 820
W. Mark Abbott United Kingdom 13 439 1.3× 128 0.7× 71 0.5× 31 0.4× 46 0.6× 23 606
Rahel Frick United States 11 251 0.8× 261 1.4× 144 1.1× 63 0.8× 41 0.5× 16 462
Jonathan H. Davis United States 12 721 2.2× 188 1.0× 112 0.8× 23 0.3× 33 0.4× 18 906
Michelle M. Gomes United States 11 240 0.7× 83 0.4× 134 1.0× 40 0.5× 36 0.5× 24 423
Madan Katragadda United States 13 403 1.2× 151 0.8× 194 1.4× 62 0.8× 26 0.3× 23 642
Emily D. Streaker United States 17 298 0.9× 156 0.8× 121 0.9× 37 0.5× 25 0.3× 21 600
Vered Bronner Israel 9 564 1.7× 94 0.5× 53 0.4× 88 1.1× 22 0.3× 11 690
Jordan R. Willis United States 13 339 1.0× 289 1.5× 310 2.3× 68 0.9× 56 0.7× 17 658

Countries citing papers authored by Alexander M. Sevy

Since Specialization
Citations

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

Fields of papers citing papers by Alexander M. Sevy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander M. Sevy. 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 Alexander M. Sevy. The network helps show where Alexander M. Sevy may publish in the future.

Co-authorship network of co-authors of Alexander M. Sevy

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

All Works

15 of 15 papers shown
1.
Sevy, Alexander M., et al.. (2020). Multi-state design of flexible proteins predicts sequences optimal for conformational change. PLoS Computational Biology. 16(2). e1007339–e1007339. 14 indexed citations
2.
Finn, Jessica A., Jinhui Dong, Alexander M. Sevy, et al.. (2020). Identification of Structurally Related Antibodies in Antibody Sequence Databases Using Rosetta-Derived Position-Specific Scoring. Structure. 28(10). 1124–1130.e5. 9 indexed citations
3.
Bozhanova, Nina G., Amandeep K. Sangha, Alexander M. Sevy, et al.. (2020). Discovery of Marburg virus neutralizing antibodies from virus-naïve human antibody repertoires using large-scale structural predictions. Proceedings of the National Academy of Sciences. 117(49). 31142–31148. 9 indexed citations
4.
Sevy, Alexander M., Iuliia M. Gilchuk, Benjamin P. Brown, et al.. (2020). Computationally Designed Cyclic Peptides Derived from an Antibody Loop Increase Breadth of Binding for Influenza Variants. Structure. 28(10). 1114–1123.e4. 19 indexed citations
5.
Sevy, Alexander M., et al.. (2020). Structure- and sequence-based design of synthetic single-domain antibody libraries. Protein Engineering Design and Selection. 33. 18 indexed citations
6.
Soto, Cinque, Robin Bombardi, Andre Branchizio, et al.. (2019). High frequency of shared clonotypes in human B cell receptor repertoires. Nature. 566(7744). 398–402. 162 indexed citations
7.
Sevy, Alexander M., Cinque Soto, Robin Bombardi, Jens Meiler, & James E. Crowe. (2019). Immune repertoire fingerprinting by principal component analysis reveals shared features in subject groups with common exposures. BMC Bioinformatics. 20(1). 629–629. 1 indexed citations
8.
Sevy, Alexander M., Nicholas C. Wu, Iuliia M. Gilchuk, et al.. (2019). Multistate design of influenza antibodies improves affinity and breadth against seasonal viruses. Proceedings of the National Academy of Sciences. 116(5). 1597–1602. 22 indexed citations
9.
Sevy, Alexander M., et al.. (2018). Integrating linear optimization with structural modeling to increase HIV neutralization breadth. PLoS Computational Biology. 14(2). e1005999–e1005999. 9 indexed citations
10.
Bender, Brian J., Amanda M. Duran, Jessica A. Finn, et al.. (2016). Protocols for Molecular Modeling with Rosetta3 and RosettaScripts. Biochemistry. 55(34). 4748–4763. 153 indexed citations
11.
Mousa, Jarrod J., Alexander M. Sevy, Jessica A. Finn, et al.. (2016). Structural basis for nonneutralizing antibody competition at antigenic site II of the respiratory syncytial virus fusion protein. Proceedings of the National Academy of Sciences. 113(44). E6849–E6858. 33 indexed citations
12.
Sevy, Alexander M., Timothy M. Jacobs, James E. Crowe, & Jens Meiler. (2015). Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences. PLoS Computational Biology. 11(7). e1004300–e1004300. 26 indexed citations
13.
Sevy, Alexander M. & Jens Meiler. (2014). Antibodies: Computer-Aided Prediction of Structure and Design of Function. Microbiology Spectrum. 2(6). 17 indexed citations
14.
Sevy, Alexander M., John F. Healey, Wei Deng, et al.. (2013). Epitope mapping of inhibitory antibodies targeting the C2 domain of coagulation factor VIII by hydrogen–deuterium exchange mass spectrometry. Journal of Thrombosis and Haemostasis. 11(12). 2128–2136. 34 indexed citations
15.
Meeks, Shannon L., Alexander M. Sevy, John F. Healey, et al.. (2013). Cooperative Binding Of Anti-Factor VIII Inhibitors and Induced Conformational Change Detected By Hydrogen-Deuterium Exchange Mass Spectrometry. Blood. 122(21). 1088–1088. 1 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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