James Vlasblom

5.8k total citations
15 papers, 769 citations indexed

About

James Vlasblom is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cell Biology. According to data from OpenAlex, James Vlasblom has authored 15 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Cell Biology. Recurrent topics in James Vlasblom's work include Bioinformatics and Genomic Networks (12 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Protein Structure and Dynamics (5 papers). James Vlasblom is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Protein Structure and Dynamics (5 papers). James Vlasblom collaborates with scholars based in Canada, United States and Spain. James Vlasblom's co-authors include Shoshana J. Wodak, Shuye Pu, Mohan Babu, Andrei L. Turinsky, Sadhna Phanse, Andrew Emili, Ashwani Kumar, Patrick Aloy, Roberto Mosca and Roland Arnold and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and PLoS ONE.

In The Last Decade

James Vlasblom

15 papers receiving 745 citations

Peers

James Vlasblom

CTM

GENET

SPECT

Volker Stümpflen Germany

Sven Heinicke United States

Marc Vidal United States

Thomas Thorne United Kingdom

Martin Lechner Germany

Daniele Santoni Italy

Matija Dreze United States

Pan Shi China

Barbara Brannetti Italy

Lan V. Zhang United States

Volker Stümpflen Germany

James Vlasblom

976 ×1.5

207 ×1.5

CTM

63 ×0.7

GENET

68 ×1.3

84 ×1.8

SPECT

Citations per year, relative to James Vlasblom James Vlasblom (= 1×) peers Volker Stümpflen

Countries citing papers authored by James Vlasblom

Since Specialization

Citations

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

Fields of papers citing papers by James Vlasblom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Vlasblom

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

All Works

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15 of 15 papers shown

Rizzolo, Kamran, Jennifer Huen, Ashwani Kumar, et al.. (2017). Features of the Chaperone Cellular Network Revealed through Systematic Interaction Mapping. Cell Reports. 20(11). 2735–2748. 44 indexed citations

Kumar, Ashwani, Natalia Beloglazova, Cedoljub Bundalovic-Torma, et al.. (2016). Conditional Epistatic Interaction Maps Reveal Global Functional Rewiring of Genome Integrity Pathways in Escherichia coli. Cell Reports. 14(3). 648–661. 29 indexed citations

Pu, Shuye, James Vlasblom, Andrei L. Turinsky, et al.. (2015). Extracting high confidence protein interactions from affinity purification data: At the crossroads. Journal of Proteomics. 118. 63–80. 20 indexed citations

Rajagopala, Seesandra V., Patricia Sikorski, Ashwani Kumar, et al.. (2014). The binary protein-protein interaction landscape of Escherichia coli. Nature Biotechnology. 32(3). 285–290. 172 indexed citations

Malty, Ramy, Matthew Jessulat, Ke Jin, et al.. (2014). Mitochondrial Targets for Pharmacological Intervention in Human Disease. Journal of Proteome Research. 14(1). 5–21. 36 indexed citations

Vlasblom, James, Khalid Zuberi, Harold Rodriguez, et al.. (2014). Novel function discovery with GeneMANIA: a new integrated resource for gene function prediction in Escherichia coli. Bioinformatics. 31(3). 306–310. 35 indexed citations

Jin, Ke, Gabriel Musso, James Vlasblom, et al.. (2014). Yeast Mitochondrial Protein–Protein Interactions Reveal Diverse Complexes and Disease-Relevant Functional Relationships. Journal of Proteome Research. 14(2). 1220–1237. 14 indexed citations

Wodak, Shoshana J., James Vlasblom, Andrei L. Turinsky, & Shuye Pu. (2013). Protein–protein interaction networks: the puzzling riches. Current Opinion in Structural Biology. 23(6). 941–953. 81 indexed citations

Vlasblom, James, Ke Jin, Sandy Kassir, & Mohan Babu. (2013). Exploring mitochondrial system properties of neurodegenerative diseases through interactome mapping. Journal of Proteomics. 100. 8–24. 12 indexed citations

10.

Vlasblom, James, Shuye Pu, Andrei L. Turinsky, et al.. (2011). OrthoNets: simultaneous visual analysis of orthologs and their interaction neighborhoods across different organisms. Bioinformatics. 27(6). 883–884. 4 indexed citations

11.

Pu, Shuye, Andrei L. Turinsky, James Vlasblom, et al.. (2010). Expanding the Landscape of Chromatin Modification (CM)-Related Functional Domains and Genes in Human. PLoS ONE. 5(11). e14122–e14122. 8 indexed citations

12.

Vlasblom, James & Shoshana J. Wodak. (2009). Markov clustering versus affinity propagation for the partitioning of protein interaction graphs. BMC Bioinformatics. 10(1). 99–99. 172 indexed citations

13.

Wodak, Shoshana J., et al.. (2008). Challenges and Rewards of Interaction Proteomics. Molecular & Cellular Proteomics. 8(1). 3–18. 80 indexed citations

14.

Pu, Shuye, et al.. (2008). Local coherence in genetic interaction patterns reveals prevalent functional versatility. Bioinformatics. 24(20). 2376–2383. 21 indexed citations

15.

Vlasblom, James, et al.. (2006). GenePro: a cytoscape plug-in for advanced visualization and analysis of interaction networks. Bioinformatics. 22(17). 2178–2179. 41 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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