Philipp M. Pflüger

19 total papers · 727 total citations
11 papers, 608 citations indexed

About

Philipp M. Pflüger is a scholar working on Organic Chemistry, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Philipp M. Pflüger has authored 11 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 5 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Philipp M. Pflüger's work include Catalytic C–H Functionalization Methods (6 papers), Machine Learning in Materials Science (5 papers) and Radical Photochemical Reactions (4 papers). Philipp M. Pflüger is often cited by papers focused on Catalytic C–H Functionalization Methods (6 papers), Machine Learning in Materials Science (5 papers) and Radical Photochemical Reactions (4 papers). Philipp M. Pflüger collaborates with scholars based in Germany, China and United States. Philipp M. Pflüger's co-authors include Frank Glorius, J. Luca Schwarz, Huan‐Ming Huang, Peter Bellotti, Bastian Heidrich, Eloísa Serrano, Maximilian Koy, Chaohuang Chen, Guosheng Liu and Pinhong Chen and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and ACS Catalysis.

In The Last Decade

Philipp M. Pflüger

11 papers receiving 596 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 M. Pflüger 518 98 85 45 33 11 608
Stavros K. Kariofillis 508 1.0× 123 1.3× 118 1.4× 86 1.9× 37 1.1× 9 644
Mike Butters 421 0.8× 76 0.8× 53 0.6× 52 1.2× 92 2.8× 11 527
Jan Haller 425 0.8× 166 1.7× 63 0.7× 73 1.6× 51 1.5× 9 523
Janice E. Sieser 520 1.0× 102 1.0× 80 0.9× 26 0.6× 100 3.0× 16 573
Shengfei Jin 635 1.2× 82 0.8× 62 0.7× 29 0.6× 72 2.2× 22 697
María González‐Esguevillas 489 0.9× 60 0.6× 82 1.0× 37 0.8× 59 1.8× 17 551
Simon Rohrbach 386 0.7× 58 0.6× 67 0.8× 102 2.3× 90 2.7× 14 561
Lucas Göttemann 475 0.9× 87 0.9× 59 0.7× 27 0.6× 68 2.1× 10 533
Pascal S. Engl 590 1.1× 62 0.6× 67 0.8× 28 0.6× 53 1.6× 9 635
David P. Schuman 506 1.0× 183 1.9× 141 1.7× 35 0.8× 129 3.9× 12 663

Countries citing papers authored by Philipp M. Pflüger

Since Specialization
Citations

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

Fields of papers citing papers by Philipp M. Pflüger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp M. Pflüger

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp M. Pflüger. A scholar is included among the top collaborators of Philipp M. Pflüger 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 M. Pflüger. Philipp M. Pflüger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026