Philipp Karschnia

222 total papers · 3.2k total citations
80 papers, 1.1k citations indexed

About

Philipp Karschnia is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Philipp Karschnia has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 23 papers in Pulmonary and Respiratory Medicine and 22 papers in Oncology. Recurrent topics in Philipp Karschnia's work include Glioma Diagnosis and Treatment (39 papers), Brain Metastases and Treatment (22 papers) and CAR-T cell therapy research (14 papers). Philipp Karschnia is often cited by papers focused on Glioma Diagnosis and Treatment (39 papers), Brain Metastases and Treatment (22 papers) and CAR-T cell therapy research (14 papers). Philipp Karschnia collaborates with scholars based in Germany, United States and Switzerland. Philipp Karschnia's co-authors include Jörg Dietrich, Joerg‐Christian Tonn, Joachim M. Baehring, Michael Parsons, Matthew J. Frigault, Michael Weller, Martin J. van den Bent, Louisa von Baumgarten, Michael A. Vogelbaum and Daniel P. Cahill and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nature reviews. Cancer.

In The Last Decade

Philipp Karschnia

70 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Philipp Karschnia 442 405 212 199 166 80 1.1k
Rénata Ursu 626 1.4× 428 1.1× 432 2.0× 109 0.5× 159 1.0× 39 1.2k
Lihua Dong 296 0.7× 236 0.6× 355 1.7× 95 0.5× 319 1.9× 56 1.1k
George Ansstas 447 1.0× 419 1.0× 171 0.8× 84 0.4× 331 2.0× 72 1.1k
Alberto Feletti 193 0.4× 213 0.5× 94 0.4× 80 0.4× 185 1.1× 76 994
Sajeel Chowdhary 163 0.4× 392 1.0× 185 0.9× 81 0.4× 203 1.2× 47 816
Nicholas A. Vitanza 304 0.7× 572 1.4× 134 0.6× 102 0.5× 439 2.6× 59 1.1k
Ryosuke Matsuda 326 0.7× 248 0.6× 135 0.6× 90 0.5× 199 1.2× 115 1.2k
Mario Löhr 245 0.6× 342 0.8× 139 0.7× 101 0.5× 257 1.5× 80 1.1k
Susanne Oertel 269 0.6× 167 0.4× 568 2.7× 78 0.4× 200 1.2× 39 991
Xin Tang 658 1.5× 202 0.5× 96 0.5× 238 1.2× 242 1.5× 34 1.1k

Countries citing papers authored by Philipp Karschnia

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Karschnia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Karschnia

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