Matthew Parker

1.6k citations
53 papers · 773 indexed · h-index 16
Topics
Inflammatory Myopathies and Dermatomyositis (14 papers)Parkinson's Disease and Spinal Disorders (7 papers)Diabetes and associated disorders (6 papers)

In The Last Decade

Matthew Parker

45 papers receiving 746 citations

Peers

Matthew Parker
Comparison fields: 5 of 131
  • Surgery 208
  • Epidemiology 158
  • Genetics 144
  • Molecular Biology 130
  • Endocrinology, Diabetes and Metabolism 125
Replace Yizhou Huang with:
Yizhou Huang China
Libo Chen China
Alex Vesey United Kingdom
Victor C. Kok Taiwan
Maria Carla Proverbio Italy
Richard Chang United States
Takeshi Matsuo Japan
Tienan Feng China
Zhongtao Zhang China
David Warburton United States
Matthew Parker relative to Yizhou Huang China Yizhou Huang's profile →
Citations per field
00.5×10×13.3×
Yizhou Huang · 1×
Citations per year

Countries citing papers authored by Matthew Parker

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Parker

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Parker. A scholar is included among the top collaborators of Matthew Parker 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 Parker. Matthew Parker 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
#WorkIndexed citations
1 0
2 5
3 5
4 0
5 4
6 7
7 13
8 0
9 16
10 29
11 15
12 8
13 14
14 17
15 40
16
The Savannah River National Laboratory's Response to the Graniteville, SC Train Accident
2
17 2
18 54
19 0
20 3

About Matthew Parker

Matthew Parker is a scholar working on Environmental Engineering, Neurology and Epidemiology, having authored 53 papers that have together received 773 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (14 papers), Parkinson's Disease and Spinal Disorders (7 papers) and Diabetes and associated disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (125 citations), Genetics (144 citations) and Surgery (208 citations). Matthew Parker has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Yoshio Kobayashi, Charles R. Martin, Marc Wirtz, Clive Wasserfall, Mark A. Atkinson, Desmond Schatz, Michael J. Haller, Hector Chinoy, Chris Todd and William Hollingworth. Their work appears in journals such as The Journal of Immunology, Diabetes and The FASEB Journal.

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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