Shaun Martin

2.2k total citations
24 papers, 1.5k citations indexed

About

Shaun Martin is a scholar working on Molecular Biology, Cell Biology and Neurology. According to data from OpenAlex, Shaun Martin has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cell Biology and 7 papers in Neurology. Recurrent topics in Shaun Martin's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Autophagy in Disease and Therapy (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Shaun Martin is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Autophagy in Disease and Therapy (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Shaun Martin collaborates with scholars based in Belgium, United Kingdom and Germany. Shaun Martin's co-authors include Patrizia Agostinis, Abhishek D. Garg, Aleksandra M. Dudek, Peter Vangheluwe, Sarah van Veen, Veerle Baekelandt, Chris Van den Haute, Jan Eggermont, Wim Annaert and Johannes V. Swinnen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Shaun Martin

24 papers receiving 1.5k citations

Peers

Shaun Martin
Comparison fields: 5 of 91
  • Molecular Biology 736
  • Immunology 376
  • Cell Biology 272
  • Epidemiology 265
  • Oncology 236
Replace Valeria Manganelli with:
Valeria Manganelli Italy
David Frith United Kingdom
Pierre Olivier Couraud France
Roberta Tufi United Kingdom
Masataka Horiuchi Japan
Florence Malisan Italy
Joel S. Riley United Kingdom
Alice Lau United States
Matteo Bordi Italy
Craig W. Vander Kooi United States
Valeria Manganelli Italy View profile →
Citations per field, relative to Shaun Martin
Shaun Martin · 1×
Citations per year, relative to Shaun Martin
Shaun Martin · 1×

Countries citing papers authored by Shaun Martin

Since Specialization
Citations

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

Fields of papers citing papers by Shaun Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Martin. A scholar is included among the top collaborators of Shaun Martin 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 Shaun Martin. Shaun Martin 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
# Work Indexed citations
1 7
2 3
3 3
4 74
5 216
6 54
7 45
8 123
9 38
10 75
11 94
12 14
13 44
14 19
15 84
16 35
17 8
18 76
19 299
20 37

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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