Robert B. Russell

13.4k total citations · 3 hit papers
68 papers, 7.7k citations indexed

About

Robert B. Russell is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, Robert B. Russell has authored 68 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 9 papers in Materials Chemistry and 8 papers in Cell Biology. Recurrent topics in Robert B. Russell's work include Protein Structure and Dynamics (21 papers), Bioinformatics and Genomic Networks (15 papers) and RNA and protein synthesis mechanisms (10 papers). Robert B. Russell is often cited by papers focused on Protein Structure and Dynamics (21 papers), Bioinformatics and Genomic Networks (15 papers) and RNA and protein synthesis mechanisms (10 papers). Robert B. Russell collaborates with scholars based in Germany, United Kingdom and United States. Robert B. Russell's co-authors include Alexander Stark, Stephen M. Cohen, Julius Brennecke, Toby J. Gibson, Peer Bork, Patrick Aloy, Lars Juhl Jensen, Rune Linding, Francesca Diella and Hugo Ceulemans and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Robert B. Russell

68 papers receiving 7.5k citations

Hit Papers

Principles of MicroRNA–Target Recognition 2003 2026 2010 2018 2005 2003 2019 500 1000 1.5k

Peers

Robert B. Russell
Olivier Lichtarge United States
Sucha Sudarsanam United States
Michael J. Thompson United States
Rune Linding Denmark
Ming Lei United States
Robert B. Russell
Citations per year, relative to Robert B. Russell Robert B. Russell (= 1×) peers Robert B. Russell

Countries citing papers authored by Robert B. Russell

Since Specialization
Citations

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

Fields of papers citing papers by Robert B. Russell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert B. Russell

This figure shows the co-authorship network connecting the top 25 collaborators of Robert B. Russell. A scholar is included among the top collaborators of Robert B. Russell 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 Robert B. Russell. Robert B. Russell 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.
Inoue, Asuka, Francesco Raimondi, Francois Marie Ngako Kadji, et al.. (2019). Illuminating G-Protein-Coupling Selectivity of GPCRs. Cell. 177(7). 1933–1947.e25. 396 indexed citations breakdown →
2.
Wu, Victoria H., Huwate Yeerna, Nijiro Nohata, et al.. (2019). Illuminating the Onco-GPCRome: Novel G protein–coupled receptor-driven oncocrine networks and targets for cancer immunotherapy. Journal of Biological Chemistry. 294(29). 11062–11086. 135 indexed citations
3.
Vitale, Giovanni, Stefano Gitto, Francesco Raimondi, et al.. (2017). Cryptogenic cholestasis in young and adults: ATP8B1, ABCB11, ABCB4, and TJP2 gene variants analysis by high-throughput sequencing. Journal of Gastroenterology. 53(8). 945–958. 39 indexed citations
4.
Betts, Matthew J., Evangelia Petsalaki, Pablo Mínguez, et al.. (2017). Systematic identification of phosphorylation-mediated protein interaction switches. PLoS Computational Biology. 13(3). e1005462–e1005462. 40 indexed citations
5.
Raimondi, Francesco, Gurdeep Singh, Matthew J. Betts, et al.. (2016). Insights into cancer severity from biomolecular interaction mechanisms. Scientific Reports. 6(1). 34490–34490. 13 indexed citations
6.
Knapp, Bettina L., Dorota Matelska, Antti Arjonen, et al.. (2014). RNAi screen identifies KIF15 as a novel regulator of integrin endocytic trafficking. Journal of Cell Science. 127(Pt 11). 2433–47. 24 indexed citations
7.
Vater, Inga, Manuel Montesinos‐Rongen, Matthias Schlesner, et al.. (2014). The mutational pattern of primary lymphoma of the central nervous system determined by whole-exome sequencing. Leukemia. 29(3). 677–685. 105 indexed citations
8.
Trabuco, Leonardo G., Stefano Lise, Evangelia Petsalaki, & Robert B. Russell. (2012). PepSite: prediction of peptide-binding sites from protein surfaces. Nucleic Acids Research. 40(W1). W423–W427. 162 indexed citations
9.
Trabuco, Leonardo G., Matthew J. Betts, & Robert B. Russell. (2012). Negative protein–protein interaction datasets derived from large-scale two-hybrid experiments. Methods. 58(4). 343–348. 36 indexed citations
10.
Kalinina, Olga V., Ole Wichmann, Gordana Apic, & Robert B. Russell. (2011). ProtChemSI: a network of protein-chemical structural interactions. Nucleic Acids Research. 40(D1). D549–D553. 11 indexed citations
11.
Gallego, Oriol, Matthew J. Betts, Jelena Gvozdenovic‐Jeremic, et al.. (2010). A systematic screen for protein–lipid interactions in Saccharomyces cerevisiae. Molecular Systems Biology. 6(1). 430–430. 137 indexed citations
12.
Russell, Robert B. & Toby J. Gibson. (2008). A careful disorderliness in the proteome: Sites for interaction and targets for future therapies. FEBS Letters. 582(8). 1271–1275. 65 indexed citations
13.
Moelleken, Jörg, Jörg Malsam, Matthew J. Betts, et al.. (2007). Differential localization of coatomer complex isoforms within the Golgi apparatus. Proceedings of the National Academy of Sciences. 104(11). 4425–4430. 67 indexed citations
14.
Neduva, Victor, Rune Linding, Alexander Stark, et al.. (2005). Systematic Discovery of New Recognition Peptides Mediating Protein Interaction Networks. PLoS Biology. 3(12). e405–e405. 254 indexed citations
15.
Aloy, Patrick, Hugo Ceulemans, Alexander Stark, & Robert B. Russell. (2003). The Relationship Between Sequence and Interaction Divergence in Proteins. Journal of Molecular Biology. 332(5). 989–998. 263 indexed citations
16.
Stark, Alexander, Shamil Sunyaev, & Robert B. Russell. (2003). A Model for Statistical Significance of Local Similarities in Structure. Journal of Molecular Biology. 326(5). 1307–1316. 134 indexed citations
17.
Davidoff, Michael J., Joann Petrini, Karla Damus, Robert B. Russell, & Donald R. Mattison. (2002). Neural tube defect-specific infant mortality in the United States. Teratology. 66(S1). S17–S22. 26 indexed citations
18.
Aloy, Patrick, Baldomero Oliva, Enrique Querol, Francesc Avilés, & Robert B. Russell. (2002). Structural similarity to link sequence space: New potential superfamilies and implications for structural genomics. Protein Science. 11(5). 1101–1116. 15 indexed citations
19.
Jackson, Richard M. & Robert B. Russell. (2001). Predicting function from structure: examples of the serine protease inhibitor canonical loop conformation found in extracellular proteins. Computers & Chemistry. 26(1). 31–39. 9 indexed citations
20.
Ponting, Chris P. & Robert B. Russell. (2000). Identification of distant homologues of fibroblast growth factors suggests a common ancestor for all β-trefoil proteins 1 1Edited by J. Thornton. Journal of Molecular Biology. 302(5). 1041–1047. 97 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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