Pavel Rauch

96 total papers · 1.0k total citations
78 papers, 831 citations indexed

About

Pavel Rauch is a scholar working on Molecular Biology, Biomedical Engineering and Food Science. According to data from OpenAlex, Pavel Rauch has authored 78 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 21 papers in Biomedical Engineering and 12 papers in Food Science. Recurrent topics in Pavel Rauch's work include Biosensors and Analytical Detection (17 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Analytical chemistry methods development (7 papers). Pavel Rauch is often cited by papers focused on Biosensors and Analytical Detection (17 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Analytical chemistry methods development (7 papers). Pavel Rauch collaborates with scholars based in India, Czechia and Italy. Pavel Rauch's co-authors include L. Fukal, Martina Blažková, Stefano Girotti, Elida Nora Ferri, Barbora Javůrková, A. van Amerongen, Josef A. Käs, Marjo Koets, Aldo Roda and Fabiana Fini and has published in prestigious journals such as Analytical Biochemistry, Food Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Pavel Rauch

74 papers receiving 795 citations

Author Peers

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

Author Last Decade Papers Cites
Pavel Rauch 418 321 156 107 84 78 831
Yuping Wan 412 1.0× 266 0.8× 326 2.1× 29 0.3× 127 1.5× 39 977
Hyun‐Joo Chang 359 0.9× 228 0.7× 149 1.0× 80 0.7× 71 0.8× 33 828
Jinsong Feng 301 0.7× 244 0.8× 313 2.0× 36 0.3× 54 0.6× 52 853
Limin Cao 396 0.9× 208 0.6× 100 0.6× 19 0.2× 85 1.0× 76 845
Yuebin Ke 461 1.1× 302 0.9× 93 0.6× 78 0.7× 103 1.2× 37 927
Keyu Xing 671 1.6× 587 1.8× 61 0.4× 76 0.7× 41 0.5× 35 954
Weimin Shi 376 0.9× 252 0.8× 214 1.4× 23 0.2× 67 0.8× 31 923
Elena A. Zvereva 596 1.4× 536 1.7× 77 0.5× 39 0.4× 59 0.7× 69 848
Xiaofei Hu 596 1.4× 512 1.6× 78 0.5× 79 0.7× 82 1.0× 44 1.0k
G. Volpe 524 1.3× 381 1.2× 108 0.7× 297 2.8× 43 0.5× 39 981

Countries citing papers authored by Pavel Rauch

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Rauch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Rauch

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