Paul‐Georg Germann

68 total papers · 2.1k total citations
53 papers, 1.6k citations indexed

About

Paul‐Georg Germann is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Paul‐Georg Germann has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 12 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Paul‐Georg Germann's work include Neonatal Respiratory Health Research (12 papers), Respiratory Support and Mechanisms (10 papers) and Immunotoxicology and immune responses (6 papers). Paul‐Georg Germann is often cited by papers focused on Neonatal Respiratory Health Research (12 papers), Respiratory Support and Mechanisms (10 papers) and Immunotoxicology and immune responses (6 papers). Paul‐Georg Germann collaborates with scholars based in Germany, Switzerland and United States. Paul‐Georg Germann's co-authors include Gisa Tiegs, Marcel Leist, A Wendel, Florian Gantner, Dietrich Häfner, Dieter Hauschke, Oliver Gassmann, Henning Trill, Alexander Schuhmacher and Heinrich Ernst and has published in prestigious journals such as The Journal of Immunology, Hepatology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Paul‐Georg Germann

53 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Paul‐Georg Germann 528 393 332 299 232 53 1.6k
Yao Wang 1.0k 1.9× 296 0.8× 337 1.0× 276 0.9× 234 1.0× 85 2.1k
Meihong Deng 678 1.3× 674 1.7× 350 1.1× 148 0.5× 91 0.4× 59 1.7k
Toshikazu Hada 885 1.7× 294 0.7× 334 1.0× 191 0.6× 144 0.6× 116 2.2k
Leah Hennings 582 1.1× 184 0.5× 359 1.1× 122 0.4× 153 0.7× 74 1.9k
A. Eric Schultze 405 0.8× 265 0.7× 144 0.4× 134 0.4× 202 0.9× 67 1.4k
Shuncai Zhang 608 1.2× 243 0.6× 479 1.4× 103 0.3× 159 0.7× 43 1.6k
Man Li 519 1.0× 220 0.6× 562 1.7× 95 0.3× 163 0.7× 105 1.7k
Xudong Wu 966 1.8× 427 1.1× 500 1.5× 89 0.3× 188 0.8× 64 2.1k
Claudio Denzlinger 548 1.0× 573 1.5× 164 0.5× 249 0.8× 147 0.6× 67 2.0k
Terumi Takahara 395 0.7× 170 0.4× 409 1.2× 108 0.4× 139 0.6× 64 1.4k

Countries citing papers authored by Paul‐Georg Germann

Since Specialization
Citations

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

Fields of papers citing papers by Paul‐Georg Germann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul‐Georg Germann. 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 Paul‐Georg Germann. The network helps show where Paul‐Georg Germann may publish in the future.

Co-authorship network of co-authors of Paul‐Georg Germann

This figure shows the co-authorship network connecting the top 25 collaborators of Paul‐Georg Germann. A scholar is included among the top collaborators of Paul‐Georg Germann 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 Paul‐Georg Germann. Paul‐Georg Germann 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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