Mark Stubbs

1.2k citations
27 papers · 1.1k · h-index 16

Impact in

Papers in

    • Protein Degradation and Inhibitors 5
    • Wnt/β-catenin signaling in development and cancer 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Receptor Mechanisms and Signaling 2
    • Metabolism, Diabetes, and Cancer 2
    • Pancreatic function and diabetes 5

Mark Stubbs

27 papers receiving 1k citations

Peers

Mark Stubbs
Comparison fields: 5 of 68
  • Computational Theory and Mathematics 133
  • Molecular Biology 416
  • Oncology 137
  • Cancer Research 69
  • Organic Chemistry 147
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Citations per field
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Citations per year

Countries citing papers authored by Mark Stubbs

Since Specialization
Citations

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

Fields of papers citing papers by Mark Stubbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Stubbs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Stubbs Line = papers co-authored together Mark Stubbs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015127
2 2017101
3 201698
4 201093
5 202089
6 201781
7 201572
8 201544
9 199943
10 201642
11 200041
12
Central glucocorticoid regulation of parasympathetic drive to pancreatic B-cells in the obese fa/fa rat.
199136
13 200032
14 202128
15 198726
16 202316
17 200614
18 200614
19 202312
20 202310

About Mark Stubbs

Mark Stubbs is a scholar working on Molecular Biology, Surgery, Computational Theory and Mathematics, Cell Biology and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Pancreatic function and diabetes (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Computational Drug Discovery Methods (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Receptor Mechanisms and Signaling (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Computational Theory and Mathematics (133 citations), Molecular Biology (416 citations), Oncology (137 citations), Cancer Research (69 citations) and Organic Chemistry (147 citations). Mark Stubbs has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Loranne Agius, Rosemary Burke, Mohammed Hasan Mukhtar, Stephen J.H. Ashcroft, Paul Workman, Ian F. Collins, Susan Aiston, John Caldwell, Craig McAndrew and Wynne Aherne. Their work appears in journals such as Journal of Medicinal Chemistry, Oncology Reports, FEBS Letters, International Journal of Oncology and ACS Medicinal Chemistry Letters.

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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