Natalie Stanford

1.1k total citations
13 papers, 395 citations indexed

About

Natalie Stanford is a scholar working on Molecular Biology, Information Systems and Management and Information Systems. According to data from OpenAlex, Natalie Stanford has authored 13 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Information Systems and Management and 3 papers in Information Systems. Recurrent topics in Natalie Stanford's work include Bioinformatics and Genomic Networks (6 papers), Scientific Computing and Data Management (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Natalie Stanford is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Scientific Computing and Data Management (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Natalie Stanford collaborates with scholars based in United Kingdom, Germany and Netherlands. Natalie Stanford's co-authors include Kieran Smallbone, Pedro Mendes, Wolfram Liebermeister, Timo Lubitz, Edda Klipp, Carole Goble, Martin Golebiewski, Katherine Wolstencroft, Jacky L. Snoep and Stuart Owen and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Molecular Systems Biology.

In The Last Decade

Natalie Stanford

13 papers receiving 392 citations

Peers

Natalie Stanford
Mihai Glont United Kingdom
Marco Donizelli United Kingdom
Olga Krebs Germany
Maja Rey Germany
Bernd Rinn Switzerland
Ernst Oberortner United States
Erwin P. Gianchandani United States
Mihai Glont United Kingdom
Natalie Stanford
Citations per year, relative to Natalie Stanford Natalie Stanford (= 1×) peers Mihai Glont

Countries citing papers authored by Natalie Stanford

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Stanford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Stanford

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

All Works

13 of 13 papers shown
1.
Nickerson, David, Bernard de Bono, Jörg Geiger, et al.. (2016). The Human Physiome: how standards, software and innovative service infrastructures are providing the building blocks to make it achievable. Interface Focus. 6(2). 20150103–20150103. 14 indexed citations
2.
Stanford, Natalie, Finn Bacall, Martin Golebiewski, et al.. (2016). FAIRDOM: Reproducible Systems Biology through FAIR Asset Management. Research Explorer (The University of Manchester). 1 indexed citations
3.
Wolstencroft, Katherine, Olga Krebs, Jacky L. Snoep, et al.. (2016). FAIRDOMHub: a repository and collaboration environment for sharing systems biology research. Nucleic Acids Research. 45(D1). D404–D407. 75 indexed citations
4.
Krebs, Olga, Katherine Wolstencroft, Natalie Stanford, et al.. (2015). FAIRDOM approach for semantic interoperability of systems biology data and models.. 1–2. 2 indexed citations
5.
Wolstencroft, Katherine, Stuart Owen, Olga Krebs, et al.. (2015). SEEK: a systems biology data and model management platform. BMC Systems Biology. 9(1). 33–33. 61 indexed citations
6.
Stanford, Natalie, Katherine Wolstencroft, Martin Golebiewski, et al.. (2015). The evolution of standards and data management practices in systems biology. Molecular Systems Biology. 11(12). 851–851. 18 indexed citations
7.
Suhr, Stephanie, Guy Cochrane, Natalie Stanford, et al.. (2015). Report: Biomedbridges Workshop On E-Infrastructure Support For The Life Sciences – Preparing For The Data Deluge. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
8.
Stanford, Natalie, Pierre Millard, & Neil Swainston. (2015). RobOKoD: microbial strain design for (over)production of target compounds. Frontiers in Cell and Developmental Biology. 3. 17–17. 15 indexed citations
9.
Smallbone, Kieran & Natalie Stanford. (2013). Kinetic Modeling of Metabolic Pathways: Application to Serine Biosynthesis. Methods in molecular biology. 985. 113–121. 2 indexed citations
10.
Stanford, Natalie, Timo Lubitz, Kieran Smallbone, et al.. (2013). Systematic Construction of Kinetic Models from Genome-Scale Metabolic Networks. PLoS ONE. 8(11). e79195–e79195. 76 indexed citations
11.
Knoop, Henning, Natalie Stanford, Fernando Guerrero, et al.. (2012). Physiological tolerance and stoichiometric potential of cyanobacteria for hydrocarbon fuel production. Journal of Biotechnology. 162(1). 67–74. 46 indexed citations
12.
Mendes, Pedro, Natalie Stanford, & Kieran Smallbone. (2011). Kinetic modelling of large-scale metabolic networks. 5–6. 1 indexed citations
13.
Dobson, Paul D., Kieran Smallbone, Daniel Jameson, et al.. (2010). Further developments towards a genome-scale metabolic model of yeast. BMC Systems Biology. 4(1). 145–145. 82 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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