V. Anne Smith

2.7k total citations · 1 hit paper
48 papers, 1.7k citations indexed

About

V. Anne Smith is a scholar working on Molecular Biology, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, V. Anne Smith has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Artificial Intelligence and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in V. Anne Smith's work include Bioinformatics and Genomic Networks (9 papers), Gene Regulatory Network Analysis (7 papers) and Complex Network Analysis Techniques (7 papers). V. Anne Smith is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Gene Regulatory Network Analysis (7 papers) and Complex Network Analysis Techniques (7 papers). V. Anne Smith collaborates with scholars based in United Kingdom, United States and Germany. V. Anne Smith's co-authors include Alexander J. Hartemink, Erich D. Jarvis, Jing Yu, David J. Harrison, Simon P. Langdon, Paul P. Wang, Antonis Koussounadis, In Hwa Um, Andrew P. King and Meredith J. West and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Ecology.

In The Last Decade

V. Anne Smith

44 papers receiving 1.7k citations

Hit Papers

Relationship between differentially expressed mRNA and mR... 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system
    2015 455 citations Antonis Koussounadis, Simon P. Langdon et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Anne Smith United Kingdom 17 874 217 178 126 122 48 1.7k
Kenneth S. Brown United States 36 651 0.7× 102 0.5× 65 0.4× 197 1.6× 47 0.4× 114 4.7k
Ryota Suzuki Japan 6 743 0.9× 60 0.3× 301 1.7× 183 1.5× 23 0.2× 15 1.9k
Sara Brin Rosenthal United States 19 388 0.4× 25 0.1× 59 0.3× 145 1.2× 26 0.2× 43 1.4k
Armin O. Schmitt Germany 23 994 1.1× 104 0.5× 105 0.6× 48 0.4× 6 0.0× 100 2.0k
Didier Chauveau France 14 322 0.4× 403 1.9× 170 1.0× 70 0.6× 8 0.1× 30 1.5k
James P. Balhoff United States 22 899 1.0× 298 1.4× 65 0.4× 223 1.8× 21 0.2× 55 1.4k
Maria Victoria Schneider United Kingdom 24 1.5k 1.7× 65 0.3× 516 2.9× 668 5.3× 44 0.4× 47 3.1k
Tatiana Benaglia Brazil 10 253 0.3× 194 0.9× 159 0.9× 64 0.5× 7 0.1× 13 1.3k

Countries citing papers authored by V. Anne Smith

Since Specialization
Citations

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

Fields of papers citing papers by V. Anne Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Anne Smith

This figure shows the co-authorship network connecting the top 25 collaborators of V. Anne Smith. A scholar is included among the top collaborators of V. Anne Smith 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 V. Anne Smith. V. Anne Smith 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.
Keenan, Katherine, et al.. (2022). Treatment of missing data in Bayesian network structure learning: an application to linked biomedical and social survey data. BMC Medical Research Methodology. 22(1). 326–326. 8 indexed citations
2.
Smith, V. Anne, et al.. (2022). Degree correlations in graphs with clique clustering. Physical review. E. 105(4). 44314–44314. 3 indexed citations
3.
4.
Mitchell, Emily G., et al.. (2021). Bayesian Network Analysis reveals resilience of the jellyfish Aurelia aurita to an Irish Sea regime shift. Scientific Reports. 11(1). 3707–3707. 10 indexed citations
5.
Smith, V. Anne, et al.. (2021). Percolation in random graphs with higher-order clustering. Physical review. E. 103(1). 12313–12313. 10 indexed citations
6.
Smith, V. Anne, et al.. (2021). Random graphs with arbitrary clustering and their applications. Physical review. E. 103(1). 12309–12309. 15 indexed citations
7.
Smith, V. Anne, et al.. (2021). Exact formula for bond percolation on cliques. Physical review. E. 104(2). 24304–24304. 5 indexed citations
8.
Smith, V. Anne. (2019). Introduction to computational biology. ˜The œbiomedical & life sciences collection.. 2019(6). e1004953–e1004953. 1 indexed citations
9.
Koussounadis, Antonis, Simon P. Langdon, In Hwa Um, et al.. (2016). Dynamic modulation of phosphoprotein expression in ovarian cancer xenograft models. BMC Cancer. 16(1). 205–205. 4 indexed citations
10.
Koussounadis, Antonis, Simon P. Langdon, In Hwa Um, David J. Harrison, & V. Anne Smith. (2015). Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system. Scientific Reports. 5(1). 10775–10775. 455 indexed citations breakdown →
11.
Koussounadis, Antonis, Simon P. Langdon, David J. Harrison, & V. Anne Smith. (2014). Chemotherapy-induced dynamic gene expression changes in vivo are prognostic in ovarian cancer. British Journal of Cancer. 110(12). 2975–2984. 24 indexed citations
12.
Husmeier, Dirk, et al.. (2013). Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 75–84. 3 indexed citations
13.
Faratian, Dana, James Bown, V. Anne Smith, Simon P. Langdon, & David J. Harrison. (2010). Cancer Systems Biology. Methods in molecular biology. 662. 245–263. 17 indexed citations
14.
Beale, Colin M., et al.. (2010). Revealing ecological networks using Bayesian network inference algorithms. Ecology. 91(7). 1892–1899. 62 indexed citations
15.
Matthäus, Franziska, V. Anne Smith, Anna Fogtman, et al.. (2009). Interactive Molecular Networks Obtained by Computer-aided Conversion of Microarray Data from Brains of Alcohol-drinking Rats. Pharmacopsychiatry. 42(S 01). S118–S128. 9 indexed citations
16.
Smulders, Tom V., et al.. (2009). Causal pattern recovery from neural spike train data using the Snap Shot Score. Journal of Computational Neuroscience. 29(1-2). 231–252. 1 indexed citations
17.
Smith, V. Anne. (2008). Evolving an Agent-Based Model to Probe Behavioral Rules in Flocks of Cowbirds. Artificial Life. 561–568. 5 indexed citations
18.
Sullivan, Nicole R., Liza Leventhal, James Harrison, et al.. (2007). Pharmacological Characterization of the Muscarinic Agonist (3 R,4 R)-3-(3-Hexylsulfanyl-pyrazin-2-yloxy)-1-aza-bicyclo[2.2.1]heptane (WAY-132983) in in Vitro and in Vivo Models of Chronic Pain. Journal of Pharmacology and Experimental Therapeutics. 322(3). 1294–1304. 27 indexed citations
19.
Yu, Jing, V. Anne Smith, Paul P. Wang, Alexander J. Hartemink, & Erich D. Jarvis. (2004). Advances to Bayesian network inference for generating causal networks from observational biological data. Bioinformatics. 20(18). 3594–3603. 448 indexed citations
20.
Jarvis, Erin, V. Anne Smith, Kazuhiro Wada, et al.. (2002). A framework for integrating the songbird brain. Journal of Comparative Physiology A. 188(11-12). 961–980. 28 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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