Philipp Schommers

100 total papers · 5.8k total citations
31 papers, 864 citations indexed

About

Philipp Schommers is a scholar working on Infectious Diseases, Virology and Molecular Biology. According to data from OpenAlex, Philipp Schommers has authored 31 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 12 papers in Virology and 5 papers in Molecular Biology. Recurrent topics in Philipp Schommers's work include HIV Research and Treatment (12 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Lymphoma Diagnosis and Treatment (5 papers). Philipp Schommers is often cited by papers focused on HIV Research and Treatment (12 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Lymphoma Diagnosis and Treatment (5 papers). Philipp Schommers collaborates with scholars based in Germany, United States and France. Philipp Schommers's co-authors include Henning Gruell, Florian Klein, Florian Kurth, Clara Lehmann, Kanika Vanshylla, Leif Erik Sander, Pinkus Tober‐Lau, David Hillus, Christoph Kreer and Lutz Gieselmann and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Philipp Schommers

29 papers receiving 854 citations

Hit Papers

mRNA booster immunization... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Philipp Schommers 486 204 143 136 129 31 864
P. T. A. Schellekens 229 0.5× 158 0.8× 490 3.4× 93 0.7× 237 1.8× 40 1.1k
Xiangfan Yin 214 0.4× 317 1.6× 179 1.3× 139 1.0× 142 1.1× 29 787
Olusegun O. Onabajo 299 0.6× 207 1.0× 316 2.2× 158 1.2× 66 0.5× 29 853
T. Benter 134 0.3× 277 1.4× 107 0.7× 150 1.1× 226 1.8× 36 954
Metodi V. Stankov 518 1.1× 244 1.2× 86 0.6× 66 0.5× 83 0.6× 45 937
A. Abraham 210 0.4× 249 1.2× 109 0.8× 104 0.8× 150 1.2× 32 816
Javier García‐Pérez 372 0.8× 268 1.3× 283 2.0× 93 0.7× 444 3.4× 42 1.1k
Sijia He 395 0.8× 99 0.5× 128 0.9× 80 0.6× 105 0.8× 37 764
P. Hermans 308 0.6× 90 0.4× 120 0.8× 234 1.7× 284 2.2× 41 737
D. W. Wara 155 0.3× 233 1.1× 251 1.8× 59 0.4× 117 0.9× 28 1.0k

Countries citing papers authored by Philipp Schommers

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Schommers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Schommers

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