Matthew W. Quinn

615 citations
15 papers · 452 indexed · h-index 13
Topics
Vibrio bacteria research studies (3 papers)Pancreatic function and diabetes (3 papers)Aquaculture disease management and microbiota (2 papers)

In The Last Decade

Matthew W. Quinn

15 papers receiving 434 citations

Peers

Matthew W. Quinn
Comparison fields: 5 of 96
  • Surgery 123
  • Endocrinology, Diabetes and Metabolism 114
  • Molecular Biology 98
  • Biomedical Engineering 73
  • Genetics 52
Replace Jung‐Hee Lee with:
Jung‐Hee Lee South Korea
Sonia M. Rodrigues Oliveira Portugal
Ayman Hyder Egypt
Joseph Vehige United States
Hong Yan China
Edna Soares Portugal
Ana Paula Domínguez Rubio Argentina
Wenyang Chen China
Kathy C. Nguyen Canada
Yalei Dai China
Matthew W. Quinn relative to Jung‐Hee Lee South Korea Jung‐Hee Lee's profile →
Citations per field
00.5×1.5×2.4×
Jung‐Hee Lee · 1×
Citations per year

Countries citing papers authored by Matthew W. Quinn

Since Specialization
Citations

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

Fields of papers citing papers by Matthew W. Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew W. Quinn

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew W. Quinn. A scholar is included among the top collaborators of Matthew W. Quinn 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 W. Quinn. Matthew W. Quinn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 3
3 14
4 51
5 21
6 31
7 25
8 35
9 29
10 34
11 12
12 27
13
Induction of type-1 diabetes mellitus in laboratory rats by use of alloxan: route of administration, pitfalls, and insulin treatment.
106
14 45
15 18

About Matthew W. Quinn

Matthew W. Quinn is a scholar working on Endocrinology, Bioengineering and Urology, having authored 15 papers that have together received 452 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (3 papers), Pancreatic function and diabetes (3 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (114 citations), Endocrinology (31 citations) and Obstetrics and Gynecology (46 citations). Matthew W. Quinn has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include W. Kenneth Ward, Michael D. Wood, Michael D. Wood, Claudia C. Häse, Pavel Dibrov, Kenneth L. Tiekotter, Juha Räsänen, Charles T. Roberts, Srinivasa R. Nagalla and Michael G. Gravett. Their work appears in journals such as PLoS ONE, Biochemistry and American Journal of Obstetrics and Gynecology.

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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