Elena V. Orlova

11.6k total citations · 3 hit papers
151 papers, 9.3k citations indexed

About

Elena V. Orlova is a scholar working on Molecular Biology, Ecology and Materials Chemistry. According to data from OpenAlex, Elena V. Orlova has authored 151 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 29 papers in Ecology and 28 papers in Materials Chemistry. Recurrent topics in Elena V. Orlova's work include RNA and protein synthesis mechanisms (28 papers), Bacteriophages and microbial interactions (28 papers) and Advanced Electron Microscopy Techniques and Applications (24 papers). Elena V. Orlova is often cited by papers focused on RNA and protein synthesis mechanisms (28 papers), Bacteriophages and microbial interactions (28 papers) and Advanced Electron Microscopy Techniques and Applications (24 papers). Elena V. Orlova collaborates with scholars based in United Kingdom, Russia and Germany. Elena V. Orlova's co-authors include Marin van Heel, Helen R. Saibil, Michael Schätz, Ralf Schmidt, George Harauz, Gabriel Waksman, Paulo Tavares, Michael B. Sherman, Luchun Wang and Daniel K. Clare and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Elena V. Orlova

145 papers receiving 9.2k citations

Hit Papers

A New Generation of the IMAGIC Image Processing System 1996 2026 2006 2016 1996 2013 2022 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elena V. Orlova United Kingdom 48 6.3k 1.5k 1.3k 1.2k 1.2k 151 9.3k
Henning Stahlberg Switzerland 56 7.5k 1.2× 681 0.5× 1.2k 0.9× 1.3k 1.1× 963 0.8× 220 12.3k
Z. Hong Zhou United States 55 4.9k 0.8× 1.4k 0.9× 1.1k 0.9× 980 0.8× 794 0.7× 214 9.9k
Steven J. Ludtke United States 59 9.7k 1.5× 1.2k 0.8× 1.3k 1.0× 2.9k 2.4× 2.0k 1.7× 138 13.7k
Tamir Gonen United States 52 7.2k 1.1× 1.0k 0.7× 607 0.5× 1.1k 0.9× 2.8k 2.3× 148 10.8k
John L. Rubinstein Canada 45 8.7k 1.4× 756 0.5× 952 0.8× 1.7k 1.4× 1.5k 1.2× 138 12.7k
Jean‐Paul Armache United States 23 6.5k 1.0× 652 0.4× 1.1k 0.9× 869 0.7× 604 0.5× 41 8.7k
Shawn Zheng United States 14 5.2k 0.8× 732 0.5× 856 0.7× 1.7k 1.3× 742 0.6× 19 8.0k
J. Bernard Heymann United States 41 4.2k 0.7× 949 0.6× 617 0.5× 1.1k 0.9× 699 0.6× 99 7.1k
Clinton S. Potter United States 50 5.8k 0.9× 1.1k 0.7× 680 0.5× 2.8k 2.3× 909 0.8× 133 9.7k
Wim J. H. Hagen Germany 35 5.7k 0.9× 839 0.6× 706 0.6× 1.5k 1.2× 721 0.6× 57 8.5k

Countries citing papers authored by Elena V. Orlova

Since Specialization
Citations

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

Fields of papers citing papers by Elena V. Orlova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elena V. Orlova. 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 Elena V. Orlova. The network helps show where Elena V. Orlova may publish in the future.

Co-authorship network of co-authors of Elena V. Orlova

This figure shows the co-authorship network connecting the top 25 collaborators of Elena V. Orlova. A scholar is included among the top collaborators of Elena V. Orlova 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 Elena V. Orlova. Elena V. Orlova 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.
Arold, Stefan T., et al.. (2025). The mechanism of pathogenic α 1 -antitrypsin aggregation in the human liver. Proceedings of the National Academy of Sciences. 122(46). e2507535122–e2507535122.
2.
Coveney, Peter V., et al.. (2023). Structure and dynamics of an archetypal DNA nanoarchitecture revealed via cryo-EM and molecular dynamics simulations. Nature Communications. 14(1). 13 indexed citations
3.
Orlov, Igor, Sandrine Brasilès, Natalya Lukoyanova, et al.. (2022). CryoEM structure and assembly mechanism of a bacterial virus genome gatekeeper. Nature Communications. 13(1). 7283–7283. 20 indexed citations
4.
Macé, Kevin, Adam Redzej, Natalya Lukoyanova, et al.. (2022). Cryo-EM structure of a type IV secretion system. Nature. 607(7917). 191–196. 72 indexed citations breakdown →
5.
Major, Balázs, et al.. (2021). Unwinding of a DNA replication fork by a hexameric viral helicase. Nature Communications. 12(1). 5535–5535. 10 indexed citations
6.
Villanueva, Hugo, et al.. (2021). Cryo-EM Structures of Two Bacteriophage Portal Proteins Provide Insights for Antimicrobial Phage Engineering. Viruses. 13(12). 2532–2532. 3 indexed citations
7.
Gooptu, Bibek, Adam Redzej, S. Tamir Rashid, et al.. (2020). The structural basis for Z α 1 -antitrypsin polymerization in the liver. Science Advances. 6(43). 31 indexed citations
8.
Orlova, Elena V.. (2020). About the features of the collection of icons of the Ponosov's family in Primorye State Art Gallery collection. SHILAP Revista de lepidopterología. 69–82.
9.
Brasilès, Sandrine, Jörg Bürger, Thorsten Mielke, et al.. (2019). Structural transitions during the scaffolding-driven assembly of a viral capsid. Nature Communications. 10(1). 4840–4840. 21 indexed citations
10.
White, Helen, et al.. (2017). Structural Study of Heterogeneous Biological Samples by Cryoelectron Microscopy and Image Processing. BioMed Research International. 2017. 1–23. 17 indexed citations
11.
Redzej, Adam, Martina Trokter, Catarina Felisberto‐Rodrigues, et al.. (2017). Structure of a VirD4 coupling protein bound to a VirB type IV secretion machinery. The EMBO Journal. 36(20). 3080–3095. 73 indexed citations
13.
Ramboarina, Stéphanie, Abhishek Cukkemane, Isabelle Auzat, et al.. (2014). Bacteriophage SPP1 Tail Tube Protein Self-assembles into β-Structure-rich Tubes. Journal of Biological Chemistry. 290(6). 3836–3849. 25 indexed citations
14.
Orlova, Elena V. & Helen R. Saibil. (2010). Methods for Three-Dimensional Reconstruction of Heterogeneous Assemblies. Methods in enzymology on CD-ROM/Methods in enzymology. 482. 321–341. 32 indexed citations
15.
Wistow, Graeme, Keith Wyatt, Robert N. Fariss, et al.. (2008). Lengsin, a Recruited Enzyme, Associates With Cytoskeleton in Lens Fiber Cell Terminal Differentiation. Investigative Ophthalmology & Visual Science. 49(13). 1526–1526. 1 indexed citations
17.
Gohlke, U., et al.. (2005). Dodecameric structure of the small heat shock protein Acr1 from Mycobacterium tuberculosis (vol 280, pg 33419, 2005). Journal of Biological Chemistry. 280. 38888–38888. 1 indexed citations
18.
Wistow, Graeme, et al.. (2003). Lengsin: A Novel Marker for Terminal Differentiation in the Lens. Investigative Ophthalmology & Visual Science. 44(13). 949–949. 1 indexed citations
19.
Tavares, Paulo, Anja Dröge, Rudi Lurz, et al.. (1995). The SPP1 connection. FEMS Microbiology Reviews. 17(1-2). 47–56. 21 indexed citations
20.
Heel, Marin van, Holger Winkler, Elena V. Orlova, & Michael Schätz. (1992). Structure Analysis of Ice-Embedded Single Particles. Scanning microscopy. 1992(6). 3. 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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