Virginia Burger

697 total citations
20 papers, 492 citations indexed

About

Virginia Burger is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Virginia Burger has authored 20 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Virginia Burger's work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (7 papers) and RNA and protein synthesis mechanisms (4 papers). Virginia Burger is often cited by papers focused on Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (7 papers) and RNA and protein synthesis mechanisms (4 papers). Virginia Burger collaborates with scholars based in United States, Slovakia and Ukraine. Virginia Burger's co-authors include Collin M. Stultz, Jenny P. Glusker, H. L. Carrell, Denis Tritsch, J.F. Biellmann, Andrej Savol, Arvind Ramanathan, Pratul K. Agarwal, Chakra S. Chennubhotla and Daniel J. Arenas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Virginia Burger

20 papers receiving 482 citations

Peers

Virginia Burger

EDM

PTC

SURGE

Marina R. Kasimova Denmark

David F. Green United States

Søren M. Kristensen Denmark

Douglas B. Sherman United States

David N. Dubins Canada

Dawei Zhang China

Yoshitake Sakae Japan

Philip Hanoian United States

Brett N. Olsen United States

L. Sjölin Sweden

Marina R. Kasimova Denmark

Virginia Burger

432 ×1.5

63 ×0.3

36 ×0.5

EDM

25 ×0.5

PTC

21 ×0.5

SURGE

Citations per year, relative to Virginia Burger Virginia Burger (= 1×) peers Marina R. Kasimova

Countries citing papers authored by Virginia Burger

Since Specialization

Citations

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

Fields of papers citing papers by Virginia Burger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Burger

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

All Works

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20 of 20 papers shown

Lázár, Tamás, et al.. (2025). Targeting protein disorder: the next hurdle in drug discovery. Nature Reviews Drug Discovery. 24(10). 743–763. 4 indexed citations

Sun, Guangxu, Xuetao Liu, Yuriy A. Abramov, et al.. (2021). Current State-of-the-art In-house and Cloud-Based Applications of Virtual Polymorph Screening of Pharmaceutical Compounds: A Challenging Case ofAZD1305. Crystal Growth & Design. 21(4). 1972–1983. 26 indexed citations

Yang, Mingjun, Eric Dybeck, Guangxu Sun, et al.. (2020). Prediction of the Relative Free Energies of Drug Polymorphs above Zero Kelvin. Crystal Growth & Design. 20(8). 5211–5224. 33 indexed citations

Burger, Virginia, Frederik Claeyssens, Daniel W. Davies, et al.. (2018). Applications of crystal structure prediction – inorganic and network structures: general discussion. Faraday Discussions. 211(0). 613–642. 4 indexed citations

Burger, Virginia, Jelle Hendrix, Albert Konijnenberg, et al.. (2017). Hidden States within Disordered Regions of the CcdA Antitoxin Protein. Journal of the American Chemical Society. 139(7). 2693–2701. 6 indexed citations

Burger, Virginia, Daniel J. Arenas, & Collin M. Stultz. (2016). A Structure-free Method for Quantifying Conformational Flexibility in proteins. Scientific Reports. 6(1). 29040–29040. 57 indexed citations

Burger, Virginia, Diego O. Nolasco, & Collin M. Stultz. (2016). Expanding the Range of Protein Function at the Far End of the Order-Structure Continuum. Journal of Biological Chemistry. 291(13). 6706–6713. 13 indexed citations

Ziegler, Zachary M., et al.. (2016). Mollack: a web server for the automated creation of conformational ensembles for intrinsically disordered proteins. Bioinformatics. 32(16). 2545–2547. 3 indexed citations

Burger, Virginia, Thomas Gurry, & Collin M. Stultz. (2014). Intrinsically Disordered Proteins: Where Computation Meets Experiment. Polymers. 6(10). 2684–2719. 50 indexed citations

10.

Ramanathan, Arvind, et al.. (2013). Statistical Inference for Big Data Problems in Molecular Biophysics. 1 indexed citations

11.

Ramanathan, Arvind, Andrej Savol, Virginia Burger, Chakra S. Chennubhotla, & Pratul K. Agarwal. (2013). Protein Conformational Populations and Functionally Relevant Substates. Accounts of Chemical Research. 47(1). 149–156. 83 indexed citations

12.

Burger, Virginia & Chakra Chennubhotla. (2012). Nhs: Network‐based hierarchical segmentation for cryo‐electron microscopy density maps. Biopolymers. 97(9). 732–741. 4 indexed citations

13.

Reiffers, M., et al.. (2012). High Temperature Magnetic and Thermal Properties of (Pb_ySn_1-y)₂P₂S₆Chalcogenides. Acta Physica Polonica A. 122(1). 12–14. 3 indexed citations

14.

Reiffers, M., et al.. (2012). Heat capacity and electrical resistance of (Pb_ySn_1-y)₂P₂S₆chalcogenides. Journal of Physics Conference Series. 400(3). 32025–32025. 1 indexed citations

15.

Burger, Virginia, İvet Bahar, & Chakra Chennubhotla. (2011). Hierarchical Elastic Network Modeling of cryo-EM Data. Biophysical Journal. 100(3). 534a–534a. 2 indexed citations

16.

Savol, Andrej, Virginia Burger, Pratul K. Agarwal, Arvind Ramanathan, & Chakra S. Chennubhotla. (2011). QAARM: quasi-anharmonic autoregressive model reveals molecular recognition pathways in ubiquitin. Bioinformatics. 27(13). i52–i60. 16 indexed citations

17.

Burger, Virginia, İvet Bahar, & Chakra Chennubhotla. (2011). A hierarchical elastic network model for unsupervised electron density map segmentation. 2. 2 indexed citations

18.

Burger, Virginia, Arvind Ramanathan, Andrej Savol, et al.. (2011). QUASI-ANHARMONIC ANALYSIS REVEALS INTERMEDIATE STATES IN THE NUCLEAR CO-ACTIVATOR RECEPTOR BINDING DOMAIN ENSEMBLE. PubMed. 70–81. 8 indexed citations

19.

Xiong, Kan, Matthew C. Zwier, Nataliya S. Myshakina, et al.. (2011). Direct Observations of Conformational Distributions of Intrinsically Disordered p53 Peptides Using UV Raman and Explicit Solvent Simulations. The Journal of Physical Chemistry A. 115(34). 9520–9527. 15 indexed citations

20.

Carrell, H. L., et al.. (1989). X-ray analysis of D-xylose isomerase at 1.9 A: native enzyme in complex with substrate and with a mechanism-designed inactivator.. Proceedings of the National Academy of Sciences. 86(12). 4440–4444. 161 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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