Matthew Ward

547 total citations
37 papers, 311 citations indexed

About

Matthew Ward is a scholar working on Infectious Diseases, Oncology and Molecular Biology. According to data from OpenAlex, Matthew Ward has authored 37 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Matthew Ward's work include SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Solar-Powered Water Purification Methods (2 papers). Matthew Ward is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Solar-Powered Water Purification Methods (2 papers). Matthew Ward collaborates with scholars based in United States, Australia and India. Matthew Ward's co-authors include Daniel J. Leahy, Paul Worley, Jing Wu, Mei-Fang Xiao, Wenchi Zhang, Sunggu Yang, Ruo‐Jing Li, Jennifer M. Kavran, Chris Rhodes and Robert H. Christenson and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Sustainability.

In The Last Decade

Matthew Ward

25 papers receiving 303 citations

Peers

Matthew Ward
Comparison fields: 5 of 108
  • Molecular Biology 155
  • Cellular and Molecular Neuroscience 68
  • Infectious Diseases 33
  • Genetics 32
  • Epidemiology 31
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Citations per field, relative to Matthew Ward
Matthew Ward · 1×
Citations per year, relative to Matthew Ward
Matthew Ward · 1×

Countries citing papers authored by Matthew Ward

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Ward

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Ward. A scholar is included among the top collaborators of Matthew Ward 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 Ward. Matthew Ward 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 0
2 2
3 8
4 6
5
Women and the economy
1
6 4
7
United Kingdom Internal Market Bill 2019-21
2
8 0
9
Economic Indicators, May 2019
0
10 24
11
Inequality and Social Mobility
0
12
Economic Indicators, June 2019
1
13
The EU27: Internal Politics and Views on Brexit
2
14 0
15 120
16
Nigeria 2015: analysis of election issues and future prospects
4
17 18
18
Small businesses and the UK economy
20
19 53
20
The Ultimate Doll Book
0

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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