Mario Martín-Sánchez

466 citations
18 papers · 236 indexed · h-index 11
Topics
SARS-CoV-2 and COVID-19 Research (6 papers)COVID-19 epidemiological studies (4 papers)Reproductive tract infections research (4 papers)
Partner nations
SpainHong KongAustralia

In The Last Decade

Mario Martín-Sánchez

17 papers receiving 230 citations

Peers

Mario Martín-Sánchez
Comparison fields: 5 of 53
  • Infectious Diseases 129
  • Epidemiology 67
  • Microbiology 50
  • General Health Professions 49
  • Physiology 39
Replace Catherine McLean with:
Catherine McLean United States
Afoke Kokogho United States
Sarah Duncan United Kingdom
Karla Gonçalves Camacho Brazil
Michaela Maynard United States
Delphine Rahib France
R. Kropp Germany
Anthony J. Santella United States
Matthew M. Loiacono United States
Benedikt Huber Switzerland
Mario Martín-Sánchez relative to Catherine McLean United States Catherine McLean's profile →
Citations per field
00.5×9.7×
Catherine McLean · 1×
Citations per year

Countries citing papers authored by Mario Martín-Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Mario Martín-Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Martín-Sánchez. 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 Mario Martín-Sánchez. The network helps show where Mario Martín-Sánchez may publish in the future.

Co-authorship network of co-authors of Mario Martín-Sánchez

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 2
3 4
4 26
5 10
6 4
7 13
8 11
9 31
10 6
11 17
12 19
13 7
14 17
15 17
16 14
17 35
18 3

About Mario Martín-Sánchez

Mario Martín-Sánchez is a scholar working on Modeling and Simulation, Microbiology and Infectious Diseases, having authored 18 papers that have together received 236 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (4 papers) and Reproductive tract infections research (4 papers). The work is most often cited by research in Microbiology (50 citations), Modeling and Simulation (34 citations) and Infectious Diseases (129 citations). Mario Martín-Sánchez has collaborated with scholars based in Spain, Hong Kong and Australia. Frequent co-authors include Christopher K. Fairley, Catriona S. Bradshaw, Marcus Y. Chen, Eric P. F. Chow, Jason J. Ong, GM Leung, Benjamin J. Cowling, Àngels Orcau, Deborah A. Williamson and Joan A. Caylà. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and The Journal of Infectious Diseases.

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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