Mark Burton

1.6k citations
64 papers · 1.2k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • RNA Research and Splicing 3
    • Circular RNAs in diseases 3
    • Breast Cancer Treatment Studies 4
    • Cancer-related molecular mechanisms research 4
    • Cancer Genomics and Diagnostics 3

Mark Burton

57 papers receiving 1.2k citations

Peers

Mark Burton
Comparison fields: 5 of 101
  • Cancer Research 405
  • Neurology 83
  • Biochemistry 74
  • Molecular Biology 625
  • Genetics 90
Replace Victoriano Baladrón with:
Victoriano Baladrón Spain
Yong Yuan United States
Valentina Cianfanelli Italy
Michael J. Clark United States
Julie Milanini France
Roy C. Smith United States
Xingyao Bu China
Xu Guo China
Yiyun Lin United States
Carolina De La Torre Germany
Mark Burton relative to Victoriano Baladrón Spain Victoriano Baladrón's profile →
Citations per field
00.5×1.5×2.0×
Victoriano Baladrón · 1×
Citations per year

Countries citing papers authored by Mark Burton

Since Specialization
Citations

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

Fields of papers citing papers by Mark Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Burton, 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 Burton Line = papers co-authored together Mark Burton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013228
2 2005130
3 200672
4 201964
5 202155
6 201551
7 201849
8 201741
9 201439
10 202132
11 201629
12 198225
13 201625
14 202325
15 201825
16 200023
17 201619
18 202018
19 202017
20 201214

About Mark Burton

Mark Burton is a scholar working on Molecular Biology, Cancer Research, Genetics, Pathology and Forensic Medicine and Oncology, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (6 papers), Glioma Diagnosis and Treatment (6 papers), Breast Cancer Treatment Studies (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Cells and Metastasis (3 papers), RNA Research and Splicing (3 papers), Cancer Genomics and Diagnostics (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (405 citations), Neurology (83 citations), Biochemistry (74 citations), Molecular Biology (625 citations) and Genetics (90 citations). Mark Burton has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Mads Thomassen, Torben A. Kruse, Nils J. Færgeman, Jens Knudsen, Qihua Tan, Martin J. Larsen, Søren Cold, Martin Bak, Kristina P. Sørensen and Timothy M. Rose. Their work appears in journals such as Neuro-Oncology, PLoS ONE, Breast Cancer Research, The Journal of Rheumatology and Surgical Oncology.

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