David Nickerson

3.5k total citations
81 papers, 1.6k citations indexed

About

David Nickerson is a scholar working on Molecular Biology, Information Systems and Management and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David Nickerson has authored 81 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 19 papers in Information Systems and Management and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David Nickerson's work include Gene Regulatory Network Analysis (41 papers), Bioinformatics and Genomic Networks (22 papers) and Scientific Computing and Data Management (19 papers). David Nickerson is often cited by papers focused on Gene Regulatory Network Analysis (41 papers), Bioinformatics and Genomic Networks (22 papers) and Scientific Computing and Data Management (19 papers). David Nickerson collaborates with scholars based in New Zealand, United Kingdom and United States. David Nickerson's co-authors include Peter Hunter, Nicolas P. Smith, Catherine M. Lloyd, Poul Nielsen, Alan Garny, Andrew K. Miller, David Bullivant, Autumn Cuellar, Dagmar Waltemath and Poul M. F. Nielsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

David Nickerson

78 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Nickerson New Zealand 19 1.0k 402 265 221 161 81 1.6k
Jonathan Cooper United Kingdom 21 966 0.9× 717 1.8× 170 0.6× 206 0.9× 114 0.7× 60 1.9k
Poul Nielsen New Zealand 13 835 0.8× 321 0.8× 108 0.4× 160 0.7× 118 0.7× 23 1.4k
Alan Garny United Kingdom 23 852 0.8× 899 2.2× 115 0.4× 162 0.7× 118 0.7× 41 1.6k
Catherine M. Lloyd New Zealand 13 841 0.8× 187 0.5× 107 0.4× 72 0.3× 99 0.6× 17 1.2k
Matt Halstead New Zealand 8 738 0.7× 64 0.2× 100 0.4× 78 0.4× 79 0.5× 11 875
Dagmar Waltemath Germany 16 726 0.7× 23 0.1× 266 1.0× 84 0.4× 87 0.5× 85 1.0k
Randall D. Britten New Zealand 8 186 0.2× 143 0.4× 48 0.2× 74 0.3× 33 0.2× 10 471
Bruce E. Shapiro United States 14 1.3k 1.2× 17 0.0× 58 0.2× 101 0.5× 65 0.4× 26 1.7k
Werner Dubitzky United Kingdom 21 443 0.4× 30 0.1× 65 0.2× 43 0.2× 28 0.2× 91 1.3k
Camille Laibe United Kingdom 14 1.2k 1.2× 10 0.0× 192 0.7× 92 0.4× 66 0.4× 20 1.5k

Countries citing papers authored by David Nickerson

Since Specialization
Citations

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

Fields of papers citing papers by David Nickerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Nickerson

This figure shows the co-authorship network connecting the top 25 collaborators of David Nickerson. A scholar is included among the top collaborators of David Nickerson 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 David Nickerson. David Nickerson 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.
2.
Blanco, Pablo J., et al.. (2022). A modular and reusable model of epithelial transport in the proximal convoluted tubule. PLoS ONE. 17(11). e0275837–e0275837. 1 indexed citations
3.
Pan, Michael, et al.. (2022). SBML to bond graphs: From conversion to composition. Mathematical Biosciences. 352. 108901–108901. 2 indexed citations
4.
Smith, Lucian P., Frank Bergmann, Alan Garny, et al.. (2021). The simulation experiment description markup language (SED-ML): language specification for level 1 version 4. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 18(3). 20210021–20210021. 8 indexed citations
5.
Gennari, John H., Matthias König, Göksel Mısırlı, et al.. (2021). OMEX metadata specification (version 1.2). Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 18(3). 5 indexed citations
6.
Pan, Michael, et al.. (2021). Hierarchical semantic composition of biosimulation models using bond graphs. PLoS Computational Biology. 17(5). e1008859–e1008859. 12 indexed citations
7.
Nickerson, David, et al.. (2021). libOmexMeta: enabling semantic annotation of models to support FAIR principles. Bioinformatics. 37(24). 4898–4900. 5 indexed citations
8.
Waltemath, Dagmar, Martin Golebiewski, Michael L. Blinov, et al.. (2020). The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE). Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 17(2-3). 15 indexed citations
9.
Goldberg, Arthur P., et al.. (2020). Best Practices for Making Reproducible Biochemical Models. Cell Systems. 11(2). 109–120. 23 indexed citations
10.
Neal, Maxwell L., John H. Gennari, Dagmar Waltemath, David Nickerson, & Matthias König. (2020). Open modeling and exchange (OMEX) metadata specification version 1.0. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 17(2-3). 4 indexed citations
11.
Nickerson, David, et al.. (2020). Insights From Computational Modeling Into the Contribution of Mechano-Calcium Feedback on the Cardiac End-Systolic Force-Length Relationship. Frontiers in Physiology. 11. 587–587. 3 indexed citations
12.
Safaei, Soroush, et al.. (2019). Computational Modeling of Glucose Uptake in the Enterocyte. Frontiers in Physiology. 10. 380–380. 7 indexed citations
13.
Ostaszewski, Marek, Stephan Gebel, Inna Kuperstein, et al.. (2018). Community-driven roadmap for integrated disease maps. Briefings in Bioinformatics. 20(2). 659–670. 37 indexed citations
14.
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
15.
Schreiber, Falk, Gary D. Bader, Padraig Gleeson, et al.. (2016). Specifications of Standards in Systems and Synthetic Biology: Status and Developments in 2016. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 13(3). 1–7. 5 indexed citations
16.
Han, June‐Chiew, Andrew J. Taberner, Kenneth Tran, et al.. (2012). Comparison of the Gibbs and Suga formulations of cardiac energetics: the demise of “isoefficiency”. Journal of Applied Physiology. 113(7). 996–1003. 17 indexed citations
17.
Han, June‐Chiew, Andrew J. Taberner, Kenneth Tran, et al.. (2012). Relating components of pressure-volume area in Suga's formulation of cardiac energetics to components of the stress-time integral. Journal of Applied Physiology. 113(7). 988–995. 12 indexed citations
18.
Lloyd, Catherine M., David Nickerson, Michael T. Cooling, et al.. (2011). The Physiome Model Repository 2. Bioinformatics. 27(5). 743–744. 99 indexed citations
19.
Nickerson, David & Martin L. Buist. (2009). A physiome standards-based model publication paradigm. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1895). 1823–1844. 8 indexed citations
20.
Nickerson, David & Martin L. Buist. (2008). Practical application of CellML 1.1: The integration of new mechanisms into a human ventricular myocyte model. Progress in Biophysics and Molecular Biology. 98(1). 38–51. 16 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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