Mark S. Yeoman

2.3k total citations · 1 hit paper
67 papers, 1.8k citations indexed

About

Mark S. Yeoman is a scholar working on Cellular and Molecular Neuroscience, Surgery and Gastroenterology. According to data from OpenAlex, Mark S. Yeoman has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 11 papers in Surgery and 11 papers in Gastroenterology. Recurrent topics in Mark S. Yeoman's work include Neurobiology and Insect Physiology Research (23 papers), Gastrointestinal motility and disorders (11 papers) and Neuropeptides and Animal Physiology (8 papers). Mark S. Yeoman is often cited by papers focused on Neurobiology and Insect Physiology Research (23 papers), Gastrointestinal motility and disorders (11 papers) and Neuropeptides and Animal Physiology (8 papers). Mark S. Yeoman collaborates with scholars based in United Kingdom, United States and Netherlands. Mark S. Yeoman's co-authors include Paul R. Benjamin, Bhavik Anil Patel, Martin Arundell, Kim H. Parker, Danny O’Hare, Matthew J. Brierley, Richard Faragher, György Kemenes, Christopher Elliott and Richard N. Ranson and has published in prestigious journals such as Angewandte Chemie International Edition, Nature reviews. Neuroscience and Biomaterials.

In The Last Decade

Mark S. Yeoman

65 papers receiving 1.8k citations

Hit Papers

Does age matter? The impact of rodent age on study outcomes 2016 2026 2019 2022 2016 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark S. Yeoman United Kingdom 24 748 396 194 183 171 67 1.8k
Peter G. Osborne Japan 22 396 0.5× 287 0.7× 206 1.1× 91 0.5× 252 1.5× 43 1.2k
Kexin Li China 21 303 0.4× 825 2.1× 131 0.7× 127 0.7× 58 0.3× 137 1.8k
Yuki Oka United States 20 771 1.0× 441 1.1× 238 1.2× 187 1.0× 36 0.2× 33 2.8k
Maria Camila Almeida Brazil 25 367 0.5× 506 1.3× 738 3.8× 166 0.9× 101 0.6× 63 2.5k
Atsushi Toyoda Japan 26 908 1.2× 1.5k 3.8× 388 2.0× 179 1.0× 156 0.9× 148 3.4k
Michael Morgan United States 25 725 1.0× 911 2.3× 278 1.4× 90 0.5× 74 0.4× 60 3.0k
Junko Yamada Japan 32 1.7k 2.3× 1.3k 3.3× 208 1.1× 546 3.0× 34 0.2× 103 3.5k
Doug Lobner United States 31 1.6k 2.1× 1.5k 3.8× 432 2.2× 164 0.9× 41 0.2× 62 4.1k
Xia Zhang China 23 962 1.3× 559 1.4× 163 0.8× 328 1.8× 48 0.3× 57 2.6k

Countries citing papers authored by Mark S. Yeoman

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Yeoman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark S. Yeoman

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Yeoman. A scholar is included among the top collaborators of Mark S. Yeoman 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 S. Yeoman. Mark S. Yeoman 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.
Yeoman, Mark S., Sara Fidalgo, Gianluca Marcelli, & Bhavik Anil Patel. (2024). Amperometry approach curve profiling to understand the regulatory mechanisms governing the concentration of intestinal extracellular serotonin. Scientific Reports. 14(1). 10479–10479. 1 indexed citations
2.
Aiyaz, Mohammed, Bhavik Anil Patel, Martin Arundell, et al.. (2020). Decreased 14‐3‐3 expression correlates with age‐related regional reductions in CNS dopamine and motor function in the pond snail, Lymnaea. European Journal of Neuroscience. 53(5). 1394–1411. 3 indexed citations
3.
Yeoman, Mark S., et al.. (2019). Region specific differences in the effect of propofol on the murine colon result in dysmotility. Autonomic Neuroscience. 219. 19–24. 3 indexed citations
4.
Patel, Bhavik Anil, Sara Fidalgo, Chunfang Wang, et al.. (2017). The TNF-α antagonist etanercept reverses age-related decreases in colonic SERT expression and faecal output in mice. Scientific Reports. 7(1). 42754–42754. 25 indexed citations
5.
Fagan-Murphy, Aidan, et al.. (2016). Electrochemical sensor for the detection of multiple reactive oxygen and nitrogen species from ageing central nervous system homogenates. Mechanisms of Ageing and Development. 160. 28–31. 7 indexed citations
6.
Allen, Marcus, et al.. (2015). A switch in the mode of the sodium/calcium exchanger underlies an age-related increase in the slow afterhyperpolarization. Neurobiology of Aging. 36(10). 2838–2849. 11 indexed citations
7.
Patel, Bhavik Anil, Sara Fidalgo, Chunfang Wang, et al.. (2014). Impaired colonic motility and reduction in tachykinin signalling in the aged mouse. Experimental Gerontology. 53. 24–30. 28 indexed citations
8.
Quah, Conal, et al.. (2013). Finite element investigation of the effect of a bifid arch on loading of the vertebral isthmus. The Spine Journal. 14(4). 675–682. 9 indexed citations
9.
Patel, Bhavik Anil, et al.. (2012). Age-related changes in colonic motility, faecal output and the properties of faecal pellets in the mouse.. Neurogastroenterology & Motility. 24. 4 indexed citations
10.
Fidalgo, Sara, et al.. (2012). Chromatographic analysis of age-related changes in mucosal serotonin transmission in the murine distal ileum. Chemistry Central Journal. 6(1). 31–31. 6 indexed citations
11.
Yeoman, Mark S., et al.. (2012). Insights into CNS ageing from animal models of senescence. Nature reviews. Neuroscience. 13(6). 435–445. 68 indexed citations
12.
Patel, Bhavik Anil, Martin Arundell, Kim H. Parker, Mark S. Yeoman, & Danny O’Hare. (2010). Microelectrode investigation of neuroneal ageing from a single identified neurone. Physical Chemistry Chemical Physics. 12(34). 10065–10065. 14 indexed citations
13.
Yeoman, Mark S., et al.. (2010). A constitutive model for the warp-weft coupled non-linear behavior of knitted biomedical textiles. Biomaterials. 31(32). 8484–8493. 47 indexed citations
14.
Yeoman, Mark S., et al.. (2009). The Use of Finite Element Methods and Genetic Algorithms in Search of an Optimal Fabric Reinforced Porous Graft System. Annals of Biomedical Engineering. 37(11). 2266–2287. 13 indexed citations
15.
Saab, Yolande, et al.. (2007). Renin–angiotensin-system gene polymorphisms and depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 31(5). 1113–1118. 67 indexed citations
16.
Arundell, Martin, Bhavik Anil Patel, Volker Straub, et al.. (2005). Effects of age on feeding behavior and chemosensory processing in the pond snail, Lymnaea stagnalis. Neurobiology of Aging. 27(12). 1880–1891. 19 indexed citations
17.
Yeoman, Mark S. & Richard Faragher. (2001). Ageing and the nervous system: insights from studies on invertebrates. Biogerontology. 2(2). 85–97. 21 indexed citations
19.
Santama, Niovi, Ka Wan Li, K Bright, et al.. (1993). Processing of the FMRFamide Precursor Protein in the Snail Lymnaea stagnalis: Characterization and Neuronal Localization of a Novel Peptide, ‘SEEPLY’. European Journal of Neuroscience. 5(8). 1003–1016. 37 indexed citations
20.
Yeoman, Mark S. & Paul R. Benjamin. (1992). Acetylcholine is the putative transmitter of the slow oscillator modulatory interneurone in the snail feeding system. The Journal of Physiology. 446. 1 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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