Francesco Burkert

27 total papers · 7.1k total citations
21 papers, 791 citations indexed

About

Francesco Burkert is a scholar working on Infectious Diseases, Neurology and Epidemiology. According to data from OpenAlex, Francesco Burkert has authored 21 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 7 papers in Neurology and 5 papers in Epidemiology. Recurrent topics in Francesco Burkert's work include COVID-19 Clinical Research Studies (13 papers), Long-Term Effects of COVID-19 (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Francesco Burkert is often cited by papers focused on COVID-19 Clinical Research Studies (13 papers), Long-Term Effects of COVID-19 (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Francesco Burkert collaborates with scholars based in Austria, Germany and United States. Francesco Burkert's co-authors include Beryl Primrose Gladstone, Evelina Tacconelli, Elena Carrara, David Baur, Federico Foschi, Rosa Bellmann‐Weiler, Günter Weiß, Lukas Lanser, Andrea Griesmacher and Sophie Wildner and has published in prestigious journals such as Scientific Reports, The Lancet Infectious Diseases and Frontiers in Microbiology.

In The Last Decade

Francesco Burkert

20 papers receiving 768 citations

Hit Papers

Effect of antibiotic stew... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Francesco Burkert 318 315 209 115 111 21 791
Priya Nori 249 0.8× 321 1.0× 151 0.7× 83 0.7× 92 0.8× 48 621
Stephen Hughes 337 1.1× 358 1.1× 256 1.2× 41 0.4× 133 1.2× 37 800
Whitney R. Buckel 319 1.0× 250 0.8× 177 0.8× 136 1.2× 59 0.5× 34 675
Fidelma A. Magee 203 0.6× 242 0.8× 254 1.2× 125 1.1× 97 0.9× 12 763
Sarah Warner 267 0.8× 164 0.5× 179 0.9× 34 0.3× 73 0.7× 33 910
Elizabeth McLaughlin 174 0.5× 384 1.2× 396 1.9× 139 1.2× 133 1.2× 35 824
Shruti K. Gohil 271 0.9× 127 0.4× 406 1.9× 48 0.4× 136 1.2× 33 806
Janneke Cox 212 0.7× 394 1.3× 221 1.1× 175 1.5× 33 0.3× 22 743
Larissa Matukas 268 0.8× 168 0.5× 236 1.1× 64 0.6× 60 0.5× 35 777
Cheston B. Cunha 274 0.9× 162 0.5× 285 1.4× 42 0.4× 84 0.8× 41 871

Countries citing papers authored by Francesco Burkert

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Burkert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Burkert

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

All Works

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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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