Shaun Griffin

677 citations
54 papers · 456 indexed · h-index 9
Topics
Healthcare Systems and Challenges (23 papers)COVID-19 Clinical Research Studies (8 papers)COVID-19 and healthcare impacts (7 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Shaun Griffin

50 papers receiving 439 citations

Peers

Shaun Griffin
Comparison fields: 5 of 84
  • Molecular Biology 168
  • Infectious Diseases 102
  • Oncology 93
  • Pathology and Forensic Medicine 92
  • Epidemiology 83
Replace Christopher Robertson with:
Christopher Robertson United Kingdom
Xingxing Zhang China
Marisa Langdon-Embry United States
Estela Luz Brazil
Kelly Broen Netherlands
Manuel Ortega-Álvarez Mexico
Luyin Zhang United Kingdom
Owen Ngalamika Zambia
Elena Albani Italy
John R. Ngowi Tanzania
Shaun Griffin relative to Christopher Robertson United Kingdom Christopher Robertson's profile →
Citations per field
00.5×4.4×
Christopher Robertson · 1×
Citations per year

Countries citing papers authored by Shaun Griffin

Since Specialization
Citations

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

Fields of papers citing papers by Shaun Griffin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Griffin

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Griffin. A scholar is included among the top collaborators of Shaun Griffin 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 Griffin. Shaun Griffin 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 2
2 0
3 2
4 4
5 2
6 3
7 1
8 20
9 0
10 1
11 5
12 1
13 5
14 4
15 5
16 1
17 4
18 5
19 10
20 93

About Shaun Griffin

Shaun Griffin is a scholar working on General Health Professions, Equine and Infectious Diseases, having authored 54 papers that have together received 456 indexed citations. Recurring topics across this work include Healthcare Systems and Challenges (23 papers), COVID-19 Clinical Research Studies (8 papers) and COVID-19 and healthcare impacts (7 papers). The work is most often cited by research in Modeling and Simulation (35 citations), Infectious Diseases (102 citations) and Pathology and Forensic Medicine (92 citations). Shaun Griffin has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Peter Karran, Yao−Zhong Xu, Peter Macpherson, Eugenia Dogliotti, Margherita Bignami, Julius S. Youngner, Hugh G.G. Townsend, Deborah M. Haines, Thomas M. Chambers and Robert E. Holland. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Current Biology.

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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