Raphael N. Sieber

62 total papers · 2.5k total citations
29 papers, 798 citations indexed

About

Raphael N. Sieber is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Raphael N. Sieber has authored 29 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 9 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Raphael N. Sieber's work include Antimicrobial Resistance in Staphylococcus (14 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Mycobacterium research and diagnosis (6 papers). Raphael N. Sieber is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (14 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Mycobacterium research and diagnosis (6 papers). Raphael N. Sieber collaborates with scholars based in Denmark, United States and United Kingdom. Raphael N. Sieber's co-authors include Marc Stegger, Robert Skov, Jesper Larsen, Anders Rhod Larsen, Christoph Vorburger, Yannick‐Serge Zimmermann, Camilla Holten Møller, Morten Rasmussen, Lance B. Price and Jannik Fonager and has published in prestigious journals such as Nature Communications, Applied and Environmental Microbiology and Clinical Infectious Diseases.

In The Last Decade

Raphael N. Sieber

29 papers receiving 787 citations

Author Peers

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

Author Last Decade Papers Cites
Raphael N. Sieber 561 229 105 102 96 29 798
Thor Bech Johannesen 468 0.8× 362 1.6× 161 1.5× 39 0.4× 16 0.2× 31 964
Simon Pollett 439 0.8× 142 0.6× 132 1.3× 32 0.3× 19 0.2× 38 940
Alexandra Dangel 384 0.7× 128 0.6× 78 0.7× 28 0.3× 8 0.1× 35 703
S D Sears 361 0.6× 92 0.4× 57 0.5× 30 0.3× 34 0.4× 29 926
Enrique Pérez Gutiérrez 256 0.5× 167 0.7× 73 0.7× 38 0.4× 10 0.1× 25 837
Jérémy Delerce 447 0.8× 451 2.0× 38 0.4× 9 0.1× 15 0.2× 62 1.0k
Lillian Musila 475 0.8× 112 0.5× 70 0.7× 40 0.4× 15 0.2× 42 788
Marian E. H. Bos 398 0.7× 155 0.7× 101 1.0× 18 0.2× 5 0.1× 21 863
Md Saruar Bhuiyan 292 0.5× 183 0.8× 25 0.2× 6 0.1× 36 0.4× 22 868
Soawapak Hinjoy 309 0.6× 82 0.4× 64 0.6× 15 0.1× 5 0.1× 36 800

Countries citing papers authored by Raphael N. Sieber

Since Specialization
Citations

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

Fields of papers citing papers by Raphael N. Sieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphael N. Sieber. 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 Raphael N. Sieber. The network helps show where Raphael N. Sieber may publish in the future.

Co-authorship network of co-authors of Raphael N. Sieber

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael N. Sieber. A scholar is included among the top collaborators of Raphael N. Sieber 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 Raphael N. Sieber. Raphael N. Sieber 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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