Vanessa M. D’Costa

5.1k total citations · 2 hit papers
17 papers, 3.6k citations indexed

About

Vanessa M. D’Costa is a scholar working on Molecular Biology, Cell Biology and Endocrinology. According to data from OpenAlex, Vanessa M. D’Costa has authored 17 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Endocrinology. Recurrent topics in Vanessa M. D’Costa's work include Vibrio bacteria research studies (6 papers), Antibiotic Resistance in Bacteria (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). Vanessa M. D’Costa is often cited by papers focused on Vibrio bacteria research studies (6 papers), Antibiotic Resistance in Bacteria (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). Vanessa M. D’Costa collaborates with scholars based in Canada, China and France. Vanessa M. D’Costa's co-authors include Gerard D. Wright, Donald W. Hughes, Lindsay Kalan, Fabrice Calmels, Wilson W. L. Sung, G. Brian Golding, Hendrik N. Poinar, Mariya Morar, C. Schwarz and Duane Froese and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Vanessa M. D’Costa

17 papers receiving 3.5k citations

Hit Papers

Antibiotic resistance is ancient 2006 2026 2012 2019 2011 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanessa M. D’Costa Canada 11 1.5k 1.5k 1.3k 727 339 17 3.6k
Kevin J. Forsberg United States 13 1.9k 1.3× 1.6k 1.0× 1.4k 1.1× 780 1.1× 219 0.6× 22 3.4k
Fiona Walsh Ireland 23 2.6k 1.7× 1.9k 1.2× 995 0.8× 636 0.9× 283 0.8× 68 4.3k
Carl‐Fredrik Flach Sweden 37 2.6k 1.7× 1.9k 1.2× 1.2k 1.0× 601 0.8× 322 0.9× 63 5.3k
Linus Sandegren Sweden 29 1.6k 1.0× 2.1k 1.4× 1.1k 0.9× 501 0.7× 557 1.6× 58 3.9k
Zhiqiang Wang China 33 1.0k 0.7× 1.9k 1.2× 1.2k 1.0× 532 0.7× 513 1.5× 172 3.5k
Sara Hernando‐Amado Spain 26 784 0.5× 1.5k 1.0× 1.1k 0.9× 370 0.5× 321 0.9× 46 2.9k
Lindsay Kalan United States 25 922 0.6× 990 0.6× 1.3k 1.0× 531 0.7× 366 1.1× 53 4.0k
Mariya Morar United States 11 961 0.6× 978 0.6× 1.0k 0.8× 466 0.6× 204 0.6× 16 2.6k
Meredith S. Wright United States 23 1.3k 0.9× 1.4k 0.9× 873 0.7× 477 0.7× 175 0.5× 42 3.0k

Countries citing papers authored by Vanessa M. D’Costa

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa M. D’Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa M. D’Costa. 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 Vanessa M. D’Costa. The network helps show where Vanessa M. D’Costa may publish in the future.

Co-authorship network of co-authors of Vanessa M. D’Costa

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

All Works

17 of 17 papers shown
1.
D’Costa, Vanessa M., et al.. (2025). Characterizing host-microbe interactions with bacterial effector proteins using proximity-dependent biotin identification (BioID). Communications Biology. 8(1). 597–597. 1 indexed citations
2.
D’Costa, Vanessa M., et al.. (2024). Functional Divergence of the Paralog Salmonella Effector Proteins SopD and SopD2 and Their Contributions to Infection. International Journal of Molecular Sciences. 25(8). 4191–4191. 1 indexed citations
3.
El‐Sahli, Sara, Marie Marotel, Andrew Sulaiman, et al.. (2024). Targeting CD73 with flavonoids inhibits cancer stem cells and increases lymphocyte infiltration in a triple-negative breast cancer mouse model. Frontiers in Immunology. 15. 1366197–1366197. 7 indexed citations
4.
D’Costa, Vanessa M., et al.. (2024). Suppression of Host Trafficking to Lysosomes: Fluorescence Microscopy-Based DQ-Red BSA Analysis. BIO-PROTOCOL. 14(1340). e4951–e4951. 1 indexed citations
5.
D’Costa, Vanessa M., et al.. (2024). Analysis of Acinetobacter P-type type IV secretion system-encoding plasmid diversity uncovers extensive secretion system conservation and diverse antibiotic resistance determinants. Antimicrobial Agents and Chemotherapy. 68(12). e0103824–e0103824. 3 indexed citations
6.
Xia, Xuhua, et al.. (2024). Characterization of the diversity of type IV secretion system-encoding plasmids in Acinetobacter. Emerging Microbes & Infections. 13(1). 2320929–2320929. 4 indexed citations
7.
El‐Sahli, Sara, Andrew Sulaiman, Li Li, et al.. (2021). A triple-drug nanotherapy to target breast cancer cells, cancer stem cells, and tumor vasculature. Cell Death and Disease. 12(1). 8–8. 35 indexed citations
8.
D’Costa, Vanessa M., Mirosław Cygler, Sergio Grinstein, et al.. (2021). Salmonella effector SopD promotes plasma membrane scission by inhibiting Rab10. Nature Communications. 12(1). 4707–4707. 16 indexed citations
9.
El‐Sahli, Sara, et al.. (2020). Current Progresses and Challenges of Immunotherapy in Triple-Negative Breast Cancer. Cancers. 12(12). 3529–3529. 74 indexed citations
10.
D’Costa, Vanessa M., Étienne Coyaud, Estelle Laurent, et al.. (2019). BioID screen of Salmonella type 3 secreted effectors reveals host factors involved in vacuole positioning and stability during infection. Nature Microbiology. 4(12). 2511–2522. 41 indexed citations
11.
Truong, Dorothy, Veronica Canadien, Gregory D. Fairn, et al.. (2018). Salmonellaexploits host Rho GTPase signalling pathways through the phosphatase activity of SopB. Cellular Microbiology. 20(10). e12938–e12938. 28 indexed citations
12.
D’Costa, Vanessa M., Virginie Braun, Rong Shi, et al.. (2015). Salmonella Disrupts Host Endocytic Trafficking by SopD2-Mediated Inhibition of Rab7. Cell Reports. 12(9). 1508–1518. 80 indexed citations
13.
D’Costa, Vanessa M., Christine King, Lindsay Kalan, et al.. (2011). Antibiotic resistance is ancient. Nature. 477(7365). 457–461. 1856 indexed citations breakdown →
14.
D’Costa, Vanessa M., Tariq Mukhtar, Tejal Patel, et al.. (2011). Inactivation of the Lipopeptide Antibiotic Daptomycin by Hydrolytic Mechanisms. Antimicrobial Agents and Chemotherapy. 56(2). 757–764. 54 indexed citations
15.
D’Costa, Vanessa M., Emma Griffiths, & Gerard D. Wright. (2007). Expanding the soil antibiotic resistome: exploring environmental diversity. Current Opinion in Microbiology. 10(5). 481–489. 203 indexed citations
16.
D’Costa, Vanessa M., et al.. (2006). Sampling the Antibiotic Resistome. Science. 311(5759). 374–377. 1111 indexed citations breakdown →
17.
Ejim, Linda, Vanessa M. D’Costa, Nadine H. Elowe, et al.. (2004). Cystathionine β-Lyase Is Important for Virulence ofSalmonella entericaSerovar Typhimurium. Infection and Immunity. 72(6). 3310–3314. 56 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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