Mathieu Bastard

70 papers receiving 3.2k citations

Mathieu Bastard's Hit Papers

Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050 2024 · 2.0k citations
2.0k0+1Years since publication50010001.5k

Peers

Mathieu Bastard
Comparison fields: 5 of 96
  • Applied Microbiology and Biotechnology 345
  • Infectious Diseases 1.1k
  • Molecular Medicine 233
  • Pollution 137
  • Microbiology 54
Replace James Meiring with:
James Meiring United Kingdom
Rumina Syeda Hasan Pakistan
Phoebe C M Williams Australia
I Lederer Austria
Stephen Murchan Ireland
Pacifique Ndishimye Rwanda
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Countries citing papers authored by Mathieu Bastard

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Bastard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathieu Bastard, 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 Mathieu Bastard Line = papers co-authored together Mathieu Bastard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050
Hit paper breakdown →
20241965
2 201971
3 201666
4 201559
5 202353
6 202348
7 201445
8 202042
9 202241
10 202240
11 201538
12 201938
13 201237
14 201437
15 201335
16 201834
17 201132
18 201532
19 201231
20 201828

About Mathieu Bastard

Mathieu Bastard is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Epidemiology, Endocrinology and Biochemistry, having authored 73 papers that have together received 3.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (51 papers), HIV/AIDS Research and Interventions (7 papers), Malaria Research and Control (2 papers), Viral Infections and Outbreaks Research (2 papers), Clinical Laboratory Practices and Quality Control (1 paper), Blood transfusion and management (1 paper), Mycobacterium research and diagnosis (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (345 citations), Infectious Diseases (1.1k citations), Molecular Medicine (233 citations), Pollution (137 citations) and Microbiology (54 citations). Mathieu Bastard has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Francis Varaine, Maryline Bonnet, Jean-François Étard, Արմեն Հայրապետյան, Helena Huerga, Elisabeth Sánchez-Padilla, Catherine Hewison, René Écochard, Elisabeth Szumilin and Yap Boum. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, PLoS ONE, Clinical Infectious Diseases, Cochrane Database of Systematic Reviews and American Journal of Respiratory and Critical Care Medicine.

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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