S.J. Franks

459 total citations
11 papers, 324 citations indexed

About

S.J. Franks is a scholar working on Modeling and Simulation, Cell Biology and Computational Theory and Mathematics. According to data from OpenAlex, S.J. Franks has authored 11 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Modeling and Simulation, 4 papers in Cell Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in S.J. Franks's work include Mathematical Biology Tumor Growth (5 papers), Cellular Mechanics and Interactions (4 papers) and Advanced Mathematical Modeling in Engineering (3 papers). S.J. Franks is often cited by papers focused on Mathematical Biology Tumor Growth (5 papers), Cellular Mechanics and Interactions (4 papers) and Advanced Mathematical Modeling in Engineering (3 papers). S.J. Franks collaborates with scholars based in United Kingdom. S.J. Franks's co-authors include John R. King, Helen M. Byrne, Claire E. Lewis, J. C. E. Underwood, James Underwood, Marcus J. Tindall, Gareth Evans, John Ward, Simon R. Carding and H.O. Gupta and has published in prestigious journals such as Journal of Theoretical Biology, Toxicology and Applied Pharmacology and International Journal of Engineering Science.

In The Last Decade

S.J. Franks

10 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.J. Franks United Kingdom 8 201 147 77 71 47 11 324
Xiaoning Lin China 8 40 0.2× 7 0.0× 22 0.3× 31 0.4× 9 0.2× 18 378
Ariel Balter United States 6 21 0.1× 39 0.3× 12 0.2× 7 0.1× 8 0.2× 13 202
Seyed Ali Madani Tonekaboni Canada 9 39 0.2× 9 0.1× 58 0.8× 62 0.9× 52 1.1× 17 277
Ana Victoria Ponce Bobadilla Germany 5 11 0.1× 11 0.1× 23 0.3× 13 0.2× 17 0.4× 11 263
Elba Raimúndez Germany 8 23 0.1× 5 0.0× 51 0.7× 14 0.2× 13 0.3× 14 224
Franziska Maria Zickgraf Germany 5 5 0.0× 9 0.1× 108 1.4× 11 0.2× 54 1.1× 10 195
Gemma Turón Spain 7 5 0.0× 20 0.1× 103 1.3× 31 0.4× 56 1.2× 12 284
Sylvain Fouliard France 9 11 0.1× 7 0.0× 87 1.1× 7 0.1× 12 0.3× 17 183
Arne Schenk Germany 5 10 0.0× 14 0.1× 19 0.2× 3 0.0× 11 0.2× 5 317
Thomas Hu United States 8 10 0.0× 9 0.1× 36 0.5× 27 0.6× 14 236

Countries citing papers authored by S.J. Franks

Since Specialization
Citations

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

Fields of papers citing papers by S.J. Franks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.J. Franks. 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 S.J. Franks. The network helps show where S.J. Franks may publish in the future.

Co-authorship network of co-authors of S.J. Franks

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

All Works

11 of 11 papers shown
1.
Franks, S.J., Joanne L. Dunster, Simon R. Carding, et al.. (2024). Modelling the influence of vitamin D and probiotic supplementation on the microbiome and immune response. Mathematical Medicine and Biology A Journal of the IMA. 41(4). 304–345.
2.
Ward, John, et al.. (2019). Mathematical modelling of contact dermatitis from nickel and chromium. Journal of Mathematical Biology. 79(2). 595–630. 7 indexed citations
3.
Franks, S.J. & John R. King. (2009). Interactions between a uniformly proliferating tumour and its surroundings: Stability analysis for variable material properties. International Journal of Engineering Science. 47(11-12). 1182–1192. 8 indexed citations
4.
Franks, S.J., et al.. (2008). A mathematical model of the in vitro keratinocyte response to chromium and nickel exposure. Toxicology in Vitro. 22(4). 1088–1093. 3 indexed citations
5.
Celeste, Alcigeimes B., Koichi Suzuki, Harald Kunstmann, et al.. (2007). RNN-based inflow forecasting applied to reservoir operation via implicit stochastic optimization. IAHS-AISH publication. 452–462. 3 indexed citations
6.
Franks, S.J.. (2005). A mathematical model for the absorption and metabolism of formaldehyde vapour by humans. Toxicology and Applied Pharmacology. 206(3). 309–320. 41 indexed citations
7.
Franks, S.J., Helen M. Byrne, James Underwood, & Claire E. Lewis. (2004). Biological inferences from a mathematical model of comedo ductal carcinoma in situ of the breast. Journal of Theoretical Biology. 232(4). 523–543. 49 indexed citations
8.
King, John R. & S.J. Franks. (2004). Mathematical analysis of some multi-dimensional tissue-growth models. European Journal of Applied Mathematics. 15(3). 273–295. 18 indexed citations
9.
Franks, S.J., Helen M. Byrne, John R. King, J. C. E. Underwood, & Claire E. Lewis. (2003). Modelling the early growth of ductal carcinoma in situ of the breast. Journal of Mathematical Biology. 47(5). 424–452. 69 indexed citations
10.
Franks, S.J.. (2003). Interactions between a uniformly proliferating tumour and its surroundings: uniform material properties. Mathematical Medicine and Biology A Journal of the IMA. 20(1). 47–89. 67 indexed citations
11.
Franks, S.J.. (2003). Mathematical modelling of comedo ductal carcinoma in situ of the breast. Mathematical Medicine and Biology A Journal of the IMA. 20(3). 277–308. 59 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026