Matthew Grech‐Sollars

759 total citations
20 papers, 216 citations indexed

About

Matthew Grech‐Sollars is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthew Grech‐Sollars has authored 20 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matthew Grech‐Sollars's work include Glioma Diagnosis and Treatment (11 papers), Advanced MRI Techniques and Applications (11 papers) and Medical Imaging Techniques and Applications (9 papers). Matthew Grech‐Sollars is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Advanced MRI Techniques and Applications (11 papers) and Medical Imaging Techniques and Applications (9 papers). Matthew Grech‐Sollars collaborates with scholars based in United Kingdom, Germany and China. Matthew Grech‐Sollars's co-authors include Sophie Camp, Adrian Lim, Luke Dixon, Dipankar Nandi, Adam Waldman, Viktoriia Sharmanska, Tara Barwick, Lesley Honeyfield, Kevin O’Neill and Gerard Thompson and has published in prestigious journals such as NeuroImage, Journal of neurosurgery and Magnetic Resonance in Medicine.

In The Last Decade

Matthew Grech‐Sollars

18 papers receiving 215 citations

Peers

Matthew Grech‐Sollars
Comparison fields: 5 of 46
  • Radiology, Nuclear Medicine and Imaging 135
  • Genetics 89
  • Biomedical Engineering 38
  • Epidemiology 29
  • Pulmonary and Respiratory Medicine 21
Replace Salvador Castaneda Vega with:
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Carolina Giordano Italy
Qiaoyue Tan China
Paul Eichinger Germany
Lianwang Li China
Pranathi Chunduru United States
Nanxi Shen China
Lina García‐Cañamaque Spain
Ali Nabavizadeh United States
Natalie R. Boonzaier United Kingdom
Salvador Castaneda Vega Germany View profile →
Citations per field, relative to Matthew Grech‐Sollars
Matthew Grech‐Sollars · 1×
Citations per year, relative to Matthew Grech‐Sollars
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Countries citing papers authored by Matthew Grech‐Sollars

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Grech‐Sollars

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Grech‐Sollars. 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 Matthew Grech‐Sollars. The network helps show where Matthew Grech‐Sollars may publish in the future.

Co-authorship network of co-authors of Matthew Grech‐Sollars

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Grech‐Sollars. A scholar is included among the top collaborators of Matthew Grech‐Sollars 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 Matthew Grech‐Sollars. Matthew Grech‐Sollars 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 1
2 0
3 3
4 0
5 8
6 1
7 12
8 74
9 13
10 9
11 27
12 11
13 12
14 7
15 4
16 23
17 1
18 1
19 5
20 4

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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