Lucian P. Smith

2.4k total citations
38 papers, 861 citations indexed

About

Lucian P. Smith is a scholar working on Molecular Biology, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Lucian P. Smith has authored 38 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Information Systems and Management and 4 papers in Artificial Intelligence. Recurrent topics in Lucian P. Smith's work include Gene Regulatory Network Analysis (24 papers), Bioinformatics and Genomic Networks (16 papers) and Microbial Metabolic Engineering and Bioproduction (15 papers). Lucian P. Smith is often cited by papers focused on Gene Regulatory Network Analysis (24 papers), Bioinformatics and Genomic Networks (16 papers) and Microbial Metabolic Engineering and Bioproduction (15 papers). Lucian P. Smith collaborates with scholars based in United States, Germany and United Kingdom. Lucian P. Smith's co-authors include Herbert M. Sauro, Mary K. Kuhner, Frank Bergmann, Michael Hucka, Matthias König, Sarah Keating, Kiri Choi, Stefan Hoops, Chris J. Myers and Sven Sahle and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Genetics.

In The Last Decade

Lucian P. Smith

36 papers receiving 844 citations

Peers

Lucian P. Smith
Cath Brooksbank United Kingdom
Sarah Keating United Kingdom
Nick Juty United Kingdom
Jonathan R. Karr United States
Rob Jelier Netherlands
Rafael C. Jiménez United Kingdom
Rama Balakrishnan United States
Benjamin Bolival United States
Kei-Hoi Cheung United States
Cath Brooksbank United Kingdom
Lucian P. Smith
Citations per year, relative to Lucian P. Smith Lucian P. Smith (= 1×) peers Cath Brooksbank

Countries citing papers authored by Lucian P. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Lucian P. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucian P. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Lucian P. Smith. A scholar is included among the top collaborators of Lucian P. 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 Lucian P. Smith. Lucian P. 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.
Smith, Lucian P., et al.. (2024). MakeSBML: a tool for converting between Antimony and SBML. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 21(1).
2.
Schaff, James C., Anuradha Lakshminarayana, Robert F. Murphy, et al.. (2023). SBML level 3 package: spatial processes, version 1, release 1. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 20(1). 2 indexed citations
3.
Smith, Lucian P., et al.. (2023). Adapting modeling and simulation credibility standards to computational systems biology. Journal of Translational Medicine. 21(1). 501–501. 11 indexed citations
4.
Gennari, John H., et al.. (2023). VSCode-Antimony: a source editor for building, analyzing, and translating antimony models. Bioinformatics. 39(12).
5.
Xu, Jin, et al.. (2022). libRoadRunner 2.0: a high performance SBML simulation and analysis library. Bioinformatics. 39(1). 18 indexed citations
6.
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
7.
Smith, Lucian P., Stuart Moodie, Frank Bergmann, et al.. (2020). Systems Biology Markup Language (SBML) Level 3 Package: Distributions, Version 1, Release 1. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 17(2-3). 5 indexed citations
8.
Zhang, Fengkai, Lucian P. Smith, Michael L. Blinov, et al.. (2020). Systems biology markup language (SBML) level 3 package: multistate, multicomponent and multicompartment species, version 1, release 2. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 17(2-3). 3 indexed citations
9.
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
10.
Smith, Lucian P., Jon Yamato, Patricia C. Galipeau, et al.. (2020). Within‐patient phylogenetic reconstruction reveals early events in Barrett’s Esophagus. Evolutionary Applications. 14(2). 399–415. 2 indexed citations
11.
Medley, Kyle, Kiri Choi, Matthias König, et al.. (2018). Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology. PLoS Computational Biology. 14(6). e1006220–e1006220. 28 indexed citations
12.
Choi, Kiri, et al.. (2018). Tellurium: An extensible python-based modeling environment for systems and synthetic biology. Biosystems. 171. 74–79. 87 indexed citations
13.
Smith, Lucian P., Jon Yamato, & Mary K. Kuhner. (2018). CNValidator: validating somatic copy-number inference. Bioinformatics. 35(15). 2660–2662. 2 indexed citations
14.
Hucka, Michael, Frank Bergmann, Andreas Dräger, et al.. (2015). Systems Biology Markup Language (SBML) Level 2 Version 5: Structures and Facilities for Model Definitions. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 12(2). 731–901. 5 indexed citations
15.
Smith, Lucian P., Michael Hucka, Stefan Hoops, et al.. (2015). SBML Level 3 package: Hierarchical Model Composition, Version 1 Release 3. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 12(2). 603–659. 29 indexed citations
16.
Neal, Maxwell L., Michael T. Cooling, Lucian P. Smith, et al.. (2014). A Reappraisal of How to Build Modular, Reusable Models of Biological Systems. PLoS Computational Biology. 10(10). e1003849–e1003849. 31 indexed citations
17.
Smith, Lucian P., et al.. (2013). SBML and CellML translation in Antimony and JSim. Bioinformatics. 30(7). 903–907. 9 indexed citations
18.
Smith, Lucian P., Michael Hucka, Stefan Hoops, et al.. (2013). SBML Level 3 Package Specification: Hierarchical Model Composition. CaltechAUTHORS (California Institute of Technology). 3 indexed citations
19.
Smith, Lucian P. & Mary K. Kuhner. (2008). The limits of fine‐scale mapping. Genetic Epidemiology. 33(4). 344–356. 6 indexed citations
20.
Olson, John S., et al.. (1997). Protein Engineering Strategies for Designing More Stable Hemoglobin-based Blood Substitutes. Artificial Cells Blood Substitutes and Biotechnology. 25(1-2). 227–241. 40 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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