Matthew Golder

1.5k total citations
21 papers, 1.2k citations indexed

About

Matthew Golder is a scholar working on Genetics, Virology and Epidemiology. According to data from OpenAlex, Matthew Golder has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Virology and 7 papers in Epidemiology. Recurrent topics in Matthew Golder's work include Virus-based gene therapy research (9 papers), HIV Research and Treatment (8 papers) and Herpesvirus Infections and Treatments (6 papers). Matthew Golder is often cited by papers focused on Virus-based gene therapy research (9 papers), HIV Research and Treatment (8 papers) and Herpesvirus Infections and Treatments (6 papers). Matthew Golder collaborates with scholars based in United Kingdom, France and United States. Matthew Golder's co-authors include Oswald Jarrett, Massimo Palmarini, Marco Caporale, David M. Hay, William D. Hardy, Sandro Filipe Nunes, Kathryn J. Allan, Maxime Ratinier, Andrew E. Shaw and O. Jarrett and has published in prestigious journals such as Journal of Virology, International Journal of Cancer and PLoS Pathogens.

In The Last Decade

Matthew Golder

21 papers receiving 1.1k citations

Peers

Matthew Golder
Comparison fields: 5 of 59
  • Infectious Diseases 476
  • Agronomy and Crop Science 426
  • Genetics 415
  • Ecology, Evolution, Behavior and Systematics 376
  • Epidemiology 344
Replace Mathias Büttner with:
Mathias Büttner Germany
O.‐R. Kaaden Germany
Carmen M. Ruiz-Jarabo Spain
Jon B. Huder Switzerland
Kyoung-Ki Lee South Korea
D. N. Black United Kingdom
Hiroshi Sentsui Japan
Gustavo Delhon United States
Stéphane Bertagnoli France
Charles J. Issel United States
Mathias Büttner Germany View profile →
Citations per field, relative to Matthew Golder
Matthew Golder · 1×
Citations per year, relative to Matthew Golder
Matthew Golder · 1×

Countries citing papers authored by Matthew Golder

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Golder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Golder

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Golder. A scholar is included among the top collaborators of Matthew Golder 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 Golder. Matthew Golder 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 8
2 94
3 220
4 45
5 30
6 33
7 19
8 14
9 123
10 9
11 38
12 139
13 39
14 17
15 23
16 51
17 70
18 38
19 36
20 111

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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