Sam Cox

416 total citations
10 papers, 92 citations indexed

About

Sam Cox is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Information Systems. According to data from OpenAlex, Sam Cox has authored 10 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health, Toxicology and Mutagenesis, 3 papers in Atmospheric Science and 2 papers in Information Systems. Recurrent topics in Sam Cox's work include Atmospheric chemistry and aerosols (3 papers), Atmospheric Ozone and Climate (3 papers) and Health, Environment, Cognitive Aging (2 papers). Sam Cox is often cited by papers focused on Atmospheric chemistry and aerosols (3 papers), Atmospheric Ozone and Climate (3 papers) and Health, Environment, Cognitive Aging (2 papers). Sam Cox collaborates with scholars based in United Kingdom, Canada and United States. Sam Cox's co-authors include Roberto Sommariva, P. S. Monks, Peter K. Jimack, William J. Bloss, Michael Cheeseman, J. C. Young, Andy Greenfield, Lee B. Smith, Debora Bogani and Beth S. Nelson and has published in prestigious journals such as The Lancet, Atmospheric chemistry and physics and Journal of Medical Internet Research.

In The Last Decade

Sam Cox

7 papers receiving 90 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Cox United Kingdom	4	61	29	22	22	12	10	92
Hyeri Park South Korea	5	38 0.6×	3 0.1×	3 0.1×	12 0.5×	36 3.0×	13	100
H. Y. Huang Italy	3	22 0.4×	12 0.4×	4 0.2×	5 0.2×	17 1.4×	3	38
Fariha Khan Pakistan	6	7 0.1×	10 0.3×	2 0.1×	31 1.4×	18 1.5×	13	98
G. Stange Germany	2	73 1.2×	35 1.2×	18 0.8×		29 2.4×	2	73
Javier Fochesatto United States	5	35 0.6×	6 0.2×	9 0.4×	3 0.1×	35 2.9×	12	53
Melinda K. Schueneman United States	5	47 0.8×	36 1.2×	10 0.5×		21 1.8×	9	58
R. Hendershot United States	2	36 0.6×	22 0.8×	9 0.4×	1 0.0×	13 1.1×	3	51
Haklim Choi South Korea	6	50 0.8×	5 0.2×	6 0.3×	2 0.1×	46 3.8×	13	69
Liangduo Chen China	5	43 0.7×	30 1.0×	12 0.5×		16 1.3×	8	50
Carlton Xavier Finland	6	69 1.1×	29 1.0×	10 0.5×	1 0.0×	34 2.8×	12	79

Countries citing papers authored by Sam Cox

Since Specialization

Citations

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

Fields of papers citing papers by Sam Cox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Cox

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Cox, Sam, C. M. Macdonald, Christopher Hall, et al.. (2024). Conversion of Sensitive Data to the Observational Medical Outcomes Partnership Common Data Model: Protocol for the Development and Use of Carrot. JMIR Research Protocols. 14. e60917–e60917.

2.

Jefferson, Emily, Shahzad Mumtaz, Christian Cole, et al.. (2024). The Challenges and Lessons Learned Building a New UK Infrastructure for Finding and Accessing Population-Wide COVID-19 Data for Research and Public Health Analysis: The CO-CONNECT Project. Journal of Medical Internet Research. 26. e50235–e50235. 1 indexed citations

3.

Tatler, Amanda L., Michael R. Hill, Sam Cox, et al.. (2023). Differential remodeling in small and large murine airways revealed by novel whole lung airway analysis. American Journal of Physiology-Lung Cellular and Molecular Physiology. 324(3). L271–L284.

4.

Woodward-Massey, Robert, Roberto Sommariva, Lisa K. Whalley, et al.. (2023). Radical chemistry and ozone production at a UK coastal receptor site. Atmospheric chemistry and physics. 23(22). 14393–14424. 10 indexed citations

5.

Allison, Michael, Julia Verne, William Bernal, et al.. (2022). Deaths from alcohol-related liver disease in the UK: an escalating tragedy. The Lancet. 401(10375). 418–420. 5 indexed citations

6.

Sommariva, Roberto, Sam Cox, C. Martin, et al.. (2020). AtChem (version 1), an open-source box model for the Master Chemical Mechanism. Geoscientific model development. 13(1). 169–183. 52 indexed citations

7.

Sommariva, Roberto, Sam Cox, C. Martin, et al.. (2019). AtChem, an open source box-model for the Master Chemical Mechanism.

8.

Sommariva, Roberto & Sam Cox. (2017). AtChem2 version 1.0. Figshare. 1 indexed citations

9.

Cox, Sam, Lee B. Smith, Debora Bogani, et al.. (2006). Sexually dimorphic expression of secreted frizzled‐related (SFRP) genes in the developing mouse Müllerian duct. Molecular Reproduction and Development. 73(8). 1008–1016. 21 indexed citations

10.

Cox, Sam & P. C. Matthews. (1997). A PSEUDOSPECTRAL CODE FOR CONVECTION WITH AN ANALYTICAL/NUMERICAL IMPLEMENTATION OF HORIZONTAL BOUNDARY CONDITIONS. International Journal for Numerical Methods in Fluids. 25(2). 151–166. 2 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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