J. Mensch

26 total papers · 1.3k total citations
17 papers, 1.1k citations indexed

About

J. Mensch is a scholar working on Biomaterials, Pharmaceutical Science and Computational Theory and Mathematics. According to data from OpenAlex, J. Mensch has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 5 papers in Pharmaceutical Science and 5 papers in Computational Theory and Mathematics. Recurrent topics in J. Mensch's work include Electrospun Nanofibers in Biomedical Applications (6 papers), Computational Drug Discovery Methods (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). J. Mensch is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (6 papers), Computational Drug Discovery Methods (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). J. Mensch collaborates with scholars based in Belgium, United States and Hungary. J. Mensch's co-authors include Geert Verreck, Marcus E. Brewster, Claire Mackie, Patrick Augustijns, A. Van Dijck, Jef Peeters, Joel Rosenblatt, Julen Oyarzábal, Attila Balogh and Zsombor Kristóf Nagy and has published in prestigious journals such as Journal of Controlled Release, International Journal of Pharmaceutics and Journal of Pharmaceutical Sciences.

In The Last Decade

J. Mensch

17 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
J. Mensch 529 301 189 187 129 17 1.1k
Hai Bang Lee 443 0.8× 376 1.2× 170 0.9× 510 2.7× 71 0.6× 12 1.3k
Arijit Basu 472 0.9× 249 0.8× 331 1.8× 94 0.5× 82 0.6× 45 1.4k
Shreya Thakkar 431 0.8× 309 1.0× 225 1.2× 224 1.2× 65 0.5× 28 950
Abdelkader A. Metwally 280 0.5× 205 0.7× 354 1.9× 224 1.2× 48 0.4× 31 1.0k
Ram Gaud 321 0.6× 226 0.8× 403 2.1× 554 3.0× 46 0.4× 50 1.4k
Zhi Qu 391 0.7× 212 0.7× 365 1.9× 240 1.3× 53 0.4× 27 1.2k
S. Manju 480 0.9× 276 0.9× 525 2.8× 168 0.9× 112 0.9× 31 1.3k
Mehdi Esfandyari‐Manesh 477 0.9× 381 1.3× 363 1.9× 209 1.1× 80 0.6× 43 1.3k
D. Nagasamy Venkatesh 486 0.9× 344 1.1× 295 1.6× 361 1.9× 55 0.4× 49 1.3k
Enikő Borbás 217 0.4× 296 1.0× 123 0.7× 395 2.1× 46 0.4× 30 992

Countries citing papers authored by J. Mensch

Since Specialization
Citations

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

Fields of papers citing papers by J. Mensch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Mensch

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