Mathieu Bangert

47 papers receiving 1.5k citations

Mathieu Bangert's Hit Papers

Nirsevimab for Prevention of Hospitalizations Due to RSV in Infants 2023 · 238 citations
2380+1+2Years since publication50100150200

Peers

Mathieu Bangert
Comparison fields: 5 of 111
  • Microbiology 184
  • Parasitology 187
  • Epidemiology 821
  • Infectious Diseases 169
  • Public Health, Environmental and Occupational Health 232
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Shusaku Haranaga Japan
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G Poggensee Germany
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Citations per field
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Citations per year

Countries citing papers authored by Mathieu Bangert

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Bangert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nirsevimab for Prevention of Hospitalizations Due to RSV in Infants
Hit paper breakdown →
2023238
2 2017151
3 2013130
4 2012102
5 201678
6 201375
7 201157
8 201752
9 201249
10 201847
11 202244
12 202043
13 201442
14 202337
15 201732
16 201728
17 202324
18 201822
19 201921
20 202221

About Mathieu Bangert

Mathieu Bangert is a scholar working on Epidemiology, Parasitology, Microbiology, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Respiratory viral infections research (21 papers), Pneumonia and Respiratory Infections (13 papers), Parasites and Host Interactions (8 papers), Tracheal and airway disorders (4 papers), Immune Response and Inflammation (4 papers), Mosquito-borne diseases and control (3 papers), Reproductive tract infections research (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Microbiology (184 citations), Parasitology (187 citations), Epidemiology (821 citations), Infectious Diseases (169 citations) and Public Health, Environmental and Occupational Health (232 citations). Mathieu Bangert has collaborated with scholars based in United Kingdom, France and Switzerland. Frequent co-authors include Christopher Fitzpatrick, Aras Kadioglu, Dirk Engels, David Hurst Molyneux, Steve W. Lindsay, Andrea M. Collins, Daniel R. Neill, Stephen B. Gordon, Adam K A Wright and Angela D. Wright. Their work appears in journals such as PLoS neglected tropical diseases, BMC Infectious Diseases, Influenza and Other Respiratory Viruses, The Pediatric Infectious Disease Journal and Infectious Diseases of Poverty.

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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