Mathias Martins

2.1k citations
38 papers · 733 indexed · h-index 16

Impact in

    • Animal Virus Infections Studies
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies

Papers in

Mathias Martins

38 papers receiving 717 citations

Peers

Mathias Martins
Comparison fields: 5 of 58
  • Animal Science and Zoology 308
  • Infectious Diseases 467
  • Virology 102
  • Agronomy and Crop Science 100
  • Modeling and Simulation 32
Replace Jacob Schön with:
Jacob Schön Germany
Francisco Díez‐Fuertes Spain
Astrid Gall United Kingdom
J. Grom Slovenia
Ken Lemon United Kingdom
Joshua M. DiNapoli United States
Bevan Sawatsky Germany
Adam J. Foord Australia
Obdulio García-Nicolás Switzerland
Andrew C. Hickey United States
Mathias Martins relative to Jacob Schön Germany Jacob Schön's profile →
Citations per field
00.5×10×13.5×
Jacob Schön · 1×
Citations per year

Countries citing papers authored by Mathias Martins

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Martins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathias Martins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathias Martins Line = papers co-authored together Mathias Martins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20245
3 20246
4 202341
5 20239
6 20234
7 20233
8 202254
9 20224
10 202117
11 202033
12 20195
13 20186
14 20188
15 201721
16 20161
17 201413
18 201420
19 201237
20 201018

About Mathias Martins

Mathias Martins is a scholar working on Virology, Animal Science and Zoology, Infectious Diseases, Microbiology and Agronomy and Crop Science, having authored 38 papers that have together received 733 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), Animal Virus Infections Studies (12 papers), Viral gastroenteritis research and epidemiology (11 papers), Herpesvirus Infections and Treatments (8 papers), Animal Disease Management and Epidemiology (8 papers), Vector-Borne Animal Diseases (8 papers), Virus-based gene therapy research (7 papers) and SARS-CoV-2 detection and testing (6 papers). The work is most often cited by research in Animal Science and Zoology (308 citations), Infectious Diseases (467 citations), Virology (102 citations), Agronomy and Crop Science (100 citations) and Modeling and Simulation (32 citations). Mathias Martins has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Diego G. Diel, Rudi Weiblen, Eduardo Furtado Flores, Leonardo C. Caserta, Shollie M. Falkenberg, Alexandra Buckley, Mitchell V. Palmer, Kelly M. Lager, Patrick K. Mitchell and Eric D. Cassmann. Their work appears in journals such as Microbial Pathogenesis, Viruses, Archives of Virology, Journal of Virology and Microbiology Spectrum.

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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