Mark Sheppard

954 total citations
10 papers, 729 citations indexed

About

Mark Sheppard is a scholar working on Endocrinology, Food Science and Molecular Biology. According to data from OpenAlex, Mark Sheppard has authored 10 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, 6 papers in Food Science and 2 papers in Molecular Biology. Recurrent topics in Mark Sheppard's work include Salmonella and Campylobacter epidemiology (6 papers), Vibrio bacteria research studies (6 papers) and Escherichia coli research studies (4 papers). Mark Sheppard is often cited by papers focused on Salmonella and Campylobacter epidemiology (6 papers), Vibrio bacteria research studies (6 papers) and Escherichia coli research studies (4 papers). Mark Sheppard collaborates with scholars based in United Kingdom, South Sudan and Portugal. Mark Sheppard's co-authors include Pietro Mastroeni, Duncan J. Maskell, Andrew J. Grant, Olivier Restif, Trevelyan J. McKinley, Clare Bryant, Cerian Ruth Webb, Sam P. Brown, James L. N. Wood and Stephen J. Cornell and has published in prestigious journals such as The Journal of Immunology, PLoS Biology and Journal of The Royal Society Interface.

In The Last Decade

Mark Sheppard

10 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Sheppard United Kingdom 10 324 273 178 176 144 10 729
Josely F. Figueiredo United States 11 389 1.2× 301 1.1× 182 1.0× 137 0.8× 212 1.5× 17 812
Elisabeth Bottreau France 19 402 1.2× 244 0.9× 166 0.9× 119 0.7× 180 1.3× 35 825
Steven A. Tinge United States 13 354 1.1× 238 0.9× 300 1.7× 96 0.5× 124 0.9× 17 701
Sharon Okamoto United States 11 239 0.7× 203 0.7× 194 1.1× 156 0.9× 116 0.8× 13 602
Stephen C. Darnell United States 14 231 0.7× 395 1.4× 269 1.5× 110 0.6× 311 2.2× 16 901
Micah J. Worley United States 10 385 1.2× 349 1.3× 126 0.7× 93 0.5× 159 1.1× 16 685
Gabriel Briones Argentina 15 168 0.5× 230 0.8× 67 0.4× 180 1.0× 179 1.2× 25 793
Roy Curtiss United States 7 315 1.0× 303 1.1× 211 1.2× 43 0.2× 205 1.4× 7 734
Ieva Kotlarski Australia 17 241 0.7× 169 0.6× 218 1.2× 239 1.4× 116 0.8× 54 774
Abdi Elmi United Kingdom 15 486 1.5× 172 0.6× 306 1.7× 149 0.8× 274 1.9× 20 866

Countries citing papers authored by Mark Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Mark Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Sheppard

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

All Works

10 of 10 papers shown
1.
Gog, Julia R., Natan Osterman, Olivier Restif, et al.. (2012). Dynamics of Salmonella infection of macrophages at the single cell level. Journal of The Royal Society Interface. 9(75). 2696–2707. 66 indexed citations
2.
Grant, Andrew J., Mark Sheppard, Rob Deardon, et al.. (2008). Caspase‐3‐dependent phagocyte death during systemic Salmonella enterica serovar Typhimurium infection of mice. Immunology. 125(1). 28–37. 32 indexed citations
3.
Grant, Andrew J., Olivier Restif, Trevelyan J. McKinley, et al.. (2008). Modelling within-Host Spatiotemporal Dynamics of Invasive Bacterial Disease. PLoS Biology. 6(4). e74–e74. 175 indexed citations
4.
Hansell, Chris, Xing Zhu, Heather J. L. Brooks, et al.. (2007). Unique Features and Distribution of the Chicken CD83+ Cell. The Journal of Immunology. 179(8). 5117–5125. 37 indexed citations
5.
Schreiber, Fernanda, et al.. (2007). Live attenuated Salmonella as a vector for oral cytokine gene therapy in melanoma. The Journal of Gene Medicine. 9(5). 416–423. 52 indexed citations
6.
Tötemeyer, Sabine, Mark Sheppard, Adrian J. Lloyd, et al.. (2006). IFN-γ Enhances Production of Nitric Oxide from Macrophages via a Mechanism That Depends on Nucleotide Oligomerization Domain-2. The Journal of Immunology. 176(8). 4804–4810. 68 indexed citations
7.
Brown, Sam P., Stephen J. Cornell, Mark Sheppard, et al.. (2006). Intracellular Demography and the Dynamics of Salmonella enterica Infections. PLoS Biology. 4(11). e349–e349. 64 indexed citations
9.
Mastroeni, Pietro & Mark Sheppard. (2004). Salmonella infections in the mouse model: host resistance factors and in vivo dynamics of bacterial spread and distribution in the tissues. Microbes and Infection. 6(4). 398–405. 78 indexed citations
10.
Sheppard, Mark, et al.. (2003). Dynamics of bacterial growth and distribution within the liver duringSalmonellainfection. Cellular Microbiology. 5(9). 593–600. 112 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