Vesna Memišević

1.0k total citations
19 papers, 685 citations indexed

About

Vesna Memišević is a scholar working on Molecular Biology, Epidemiology and Computational Theory and Mathematics. According to data from OpenAlex, Vesna Memišević has authored 19 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Vesna Memišević's work include Bioinformatics and Genomic Networks (11 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Burkholderia infections and melioidosis (5 papers). Vesna Memišević is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Burkholderia infections and melioidosis (5 papers). Vesna Memišević collaborates with scholars based in United States, United Kingdom and Canada. Vesna Memišević's co-authors include Nataša Pržulj, Tijana Milenković, Wayne B. Hayes, Oleksii Kuchaiev, Anand K. Ganesan, Anders Wallqvist, Jaques Reifman, Anthony Bonato, Nela Zavaljevski and Rembert Pieper and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Vesna Memišević

19 papers receiving 678 citations

Peers

Vesna Memišević

CTM

SNP

EPIDE

Laurent Tichit France

Taylor Sittler United States

Vince Grolmusz Hungary

Li Liao United States

Morihiro Hayashida Japan

Dirk Koschützki Germany

James Vlasblom Canada

Daniele Santoni Italy

Swarup Roy India

Joel P. Arrais Portugal

Laurent Tichit France

Vesna Memišević

378 ×0.7

62 ×0.3

CTM

44 ×0.5

SNP

50 ×1.1

20 ×0.5

EPIDE

Citations per year, relative to Vesna Memišević Vesna Memišević (= 1×) peers Laurent Tichit

Countries citing papers authored by Vesna Memišević

Since Specialization

Citations

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

Fields of papers citing papers by Vesna Memišević

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vesna Memišević

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

All Works

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19 of 19 papers shown

Wallqvist, Anders, Hao Wang, Nela Zavaljevski, et al.. (2017). Mechanisms of action of Coxiella burnetii effectors inferred from host-pathogen protein interactions. PLoS ONE. 12(11). e0188071–e0188071. 11 indexed citations

Memišević, Vesna, Kamal Kumar, Nela Zavaljevski, et al.. (2016). DBSecSys 2.0: a database of Burkholderia mallei and Burkholderia pseudomallei secretion systems. BMC Bioinformatics. 17(1). 387–387. 4 indexed citations

Memišević, Vesna, Nela Zavaljevski, Seesandra V. Rajagopala, et al.. (2015). Mining Host-Pathogen Protein Interactions to Characterize Burkholderia mallei Infectivity Mechanisms. PLoS Computational Biology. 11(3). e1004088–e1004088. 25 indexed citations

Chiang, Chih-Yuan, Douglas Lane, Vesna Memišević, et al.. (2015). A reverse-phase protein microarray-based screen identifies host signaling dynamics upon Burkholderia spp. infection. Frontiers in Microbiology. 6. 683–683. 10 indexed citations

Wallqvist, Anders, Vesna Memišević, Nela Zavaljevski, et al.. (2015). Using host-pathogen protein interactions to identify and characterize Francisella tularensis virulence factors. BMC Genomics. 16(1). 1106–1106. 17 indexed citations

Memišević, Vesna, Kamal Kumar, Li Cheng, et al.. (2014). DBSecSys: a database of Burkholderia malleisecretion systems. BMC Bioinformatics. 15(1). 244–244. 10 indexed citations

Memišević, Vesna, Nela Zavaljevski, Rembert Pieper, et al.. (2013). Novel Burkholderia mallei Virulence Factors Linked to Specific Host-Pathogen Protein Interactions. Molecular & Cellular Proteomics. 12(11). 3036–3051. 32 indexed citations

Memišević, Vesna, Anders Wallqvist, & Jaques Reifman. (2013). Reconstituting protein interaction networks using parameter-dependent domain-domain interactions. BMC Bioinformatics. 14(1). 154–154. 15 indexed citations

Memišević, Vesna & Nataša Pržulj. (2012). C-GRAAL: Common-neighbors-based global GRAph ALignment of biological networks. Integrative Biology. 4(7). 734–734. 64 indexed citations

10.

Memišević, Vesna, et al.. (2012). Tutorial on biological networks. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 2(4). 298–325. 11 indexed citations

11.

Milenković, Tijana, Vesna Memišević, Anthony Bonato, & Nataša Pržulj. (2011). Dominating Biological Networks. PLoS ONE. 6(8). e23016–e23016. 77 indexed citations

12.

Yu, Xueping, Joseph Ivanic, Vesna Memišević, Anders Wallqvist, & Jaques Reifman. (2011). Categorizing Biases in High-Confidence High-Throughput Protein-Protein Interaction Data Sets. Molecular & Cellular Proteomics. 10(12). M111.012500–M111.012500. 24 indexed citations

13.

Memišević, Vesna, Tijana Milenković, & Nataša Pržulj. (2010). An integrative approach to modeling biological networks. SHILAP Revista de lepidopterología. 13 indexed citations

14.

Ho, Hsiang, et al.. (2010). Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets. BMC Systems Biology. 4(1). 84–84. 28 indexed citations

15.

Memišević, Vesna, Tijana Milenković, & Nataša Pržulj. (2010). Complementarity of network and sequence information in homologous proteins. PubMed. 7(3). 29 indexed citations

16.

Kuchaiev, Oleksii, Tijana Milenković, Vesna Memišević, Wayne B. Hayes, & Nataša Pržulj. (2010). Topological network alignment uncovers biological function and phylogeny. Journal of The Royal Society Interface. 7(50). 1341–1354. 219 indexed citations

17.

Memišević, Vesna, Tijana Milenković, & Nataša Pržulj. (2010). Complementarity of network and sequence information in homologous proteins. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 7(3). 275–289. 22 indexed citations

18.

Memišević, Vesna, Tijana Milenković, & Nataša Pržulj. (2009). An integrative approach to modelling biological networks. arXiv (Cornell University). 1 indexed citations

19.

Milenković, Tijana, Vesna Memišević, Anand K. Ganesan, & Nataša Pržulj. (2009). Systems-level cancer gene identification from protein interaction network topology applied to melanogenesis-related functional genomics data. Journal of The Royal Society Interface. 7(44). 423–437. 73 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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