Johannes Beeslaar

33 total papers · 565 total citations
26 papers, 438 citations indexed

About

Johannes Beeslaar is a scholar working on Epidemiology, Microbiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Johannes Beeslaar has authored 26 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 25 papers in Microbiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Johannes Beeslaar's work include Bacterial Infections and Vaccines (25 papers), Pneumonia and Respiratory Infections (21 papers) and Virology and Viral Diseases (8 papers). Johannes Beeslaar is often cited by papers focused on Bacterial Infections and Vaccines (25 papers), Pneumonia and Respiratory Infections (21 papers) and Virology and Viral Diseases (8 papers). Johannes Beeslaar collaborates with scholars based in United States, United Kingdom and Poland. Johannes Beeslaar's co-authors include John L. Perez, Kathrin U. Jansen, Shannon L. Harris, Thomas R. Jones, Qin Jiang, Laura J. York, Judith Absalon, Joseph Eiden, Joseph J. Eiden and Timo Vesikari and has published in prestigious journals such as New England Journal of Medicine, The Journal of Infectious Diseases and The Lancet Infectious Diseases.

In The Last Decade

Johannes Beeslaar

24 papers receiving 416 citations

Author Peers

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

Author Last Decade Papers Cites
Johannes Beeslaar 404 394 44 41 32 26 438
Vera Lúcia Gattás 324 0.8× 296 0.8× 35 0.8× 40 1.0× 43 1.3× 17 432
Amit Bhavsar 293 0.7× 170 0.4× 34 0.8× 51 1.2× 65 2.0× 21 419
Jane Jelfs 410 1.0× 382 1.0× 33 0.8× 47 1.1× 50 1.6× 12 491
Vera Simonsen Dias Vieira 397 1.0× 285 0.7× 11 0.3× 87 2.1× 70 2.2× 17 457
Fiona Shackley 386 1.0× 258 0.7× 14 0.3× 34 0.8× 62 1.9× 16 483
Shelly Senders 342 0.8× 205 0.5× 64 1.5× 14 0.3× 79 2.5× 24 406
Catherine H. Bozio 286 0.7× 216 0.5× 73 1.7× 37 0.9× 77 2.4× 22 455
L Barreto 308 0.8× 332 0.8× 49 1.1× 16 0.4× 87 2.7× 15 408
Paola Canepa 313 0.8× 90 0.2× 37 0.8× 40 1.0× 67 2.1× 29 408
Tina M. Sterling 409 1.0× 82 0.2× 22 0.5× 21 0.5× 46 1.4× 24 453

Countries citing papers authored by Johannes Beeslaar

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Beeslaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Beeslaar

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Beeslaar. A scholar is included among the top collaborators of Johannes Beeslaar 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 Johannes Beeslaar. Johannes Beeslaar 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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