Michael Juhnke

677 total citations
28 papers, 522 citations indexed

About

Michael Juhnke is a scholar working on Pharmaceutical Science, Mechanical Engineering and Molecular Biology. According to data from OpenAlex, Michael Juhnke has authored 28 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pharmaceutical Science, 12 papers in Mechanical Engineering and 7 papers in Molecular Biology. Recurrent topics in Michael Juhnke's work include Drug Solubulity and Delivery Systems (16 papers), Protein purification and stability (6 papers) and Mineral Processing and Grinding (5 papers). Michael Juhnke is often cited by papers focused on Drug Solubulity and Delivery Systems (16 papers), Protein purification and stability (6 papers) and Mineral Processing and Grinding (5 papers). Michael Juhnke collaborates with scholars based in Switzerland, Germany and China. Michael Juhnke's co-authors include Edgar John, Arno Kwade, Jan Henrik Finke, Heike Bunjes, Arnaud Grandeury, Joerg Berghausen, Bernard Van Eerdenbrugh, Reiner Weichert, Oksana Tsinman and Konstantin Tsinman and has published in prestigious journals such as International Journal of Pharmaceutics, Pharmaceutical Research and Journal of Pharmaceutical Sciences.

In The Last Decade

Michael Juhnke

28 papers receiving 511 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Juhnke Switzerland 13 327 145 107 98 86 28 522
Afolawemi Afolabi United States 11 418 1.3× 134 0.9× 138 1.3× 117 1.2× 65 0.8× 14 619
Michael Leane United Kingdom 12 380 1.2× 125 0.9× 173 1.6× 137 1.4× 108 1.3× 18 726
Henrik Ehlers Finland 12 184 0.6× 71 0.5× 83 0.8× 48 0.5× 79 0.9× 26 458
Eun-Sol Ha South Korea 14 277 0.8× 49 0.3× 121 1.1× 74 0.8× 74 0.9× 18 558
Asim Kumar Samanta Singapore 5 200 0.6× 62 0.4× 111 1.0× 67 0.7× 26 0.3× 7 392
Maunu Toiviainen Finland 11 177 0.5× 195 1.3× 58 0.5× 127 1.3× 203 2.4× 20 522
Ana M. L. Sousa Portugal 10 137 0.4× 39 0.3× 61 0.6× 77 0.8× 58 0.7× 12 469
Tamás Sovány Hungary 13 277 0.8× 43 0.3× 76 0.7× 113 1.2× 24 0.3× 60 558
Kuriakose Kunnath United States 13 251 0.8× 66 0.5× 67 0.6× 55 0.6× 88 1.0× 15 403
Kaisa Naelapää Denmark 12 199 0.6× 80 0.6× 129 1.2× 44 0.4× 62 0.7× 19 427

Countries citing papers authored by Michael Juhnke

Since Specialization
Citations

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

Fields of papers citing papers by Michael Juhnke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Juhnke

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

All Works

20 of 20 papers shown
3.
Finke, Jan Henrik, et al.. (2022). Influence of the drug deformation behaviour on the predictability of compressibility and compactibility of binary mixtures. International Journal of Pharmaceutics. 626. 122117–122117. 14 indexed citations
4.
Finke, Jan Henrik, et al.. (2022). Prediction of the impact of lubrication on tablet compactibility. International Journal of Pharmaceutics. 617. 121557–121557. 27 indexed citations
5.
John, Edgar, et al.. (2022). Numerical modelling of the dissolution of drug nanocrystals and its application to industrial product development. ADMET & DMPK. 10(4). 253–287. 6 indexed citations
6.
Fuest, Frederik, et al.. (2022). Tablet Disintegration and Dispersion under In Vivo-like Hydrodynamic Conditions. Pharmaceutics. 14(1). 208–208. 5 indexed citations
7.
Finke, Jan Henrik, Bernard Van Eerdenbrugh, Edgar John, et al.. (2022). Evaluation of the Formulation Parameter-Dependent Redispersibility of API Nanoparticles from Fluid Bed Granules. Pharmaceutics. 14(8). 1688–1688. 3 indexed citations
8.
Finke, Jan Henrik, et al.. (2021). The influence of particle size on the application of compression and compaction models for tableting. International Journal of Pharmaceutics. 599. 120424–120424. 41 indexed citations
9.
Finke, Jan Henrik, et al.. (2021). Tablet formulation development focusing on the functional behaviour of water uptake and swelling. International Journal of Pharmaceutics X. 3. 100103–100103. 14 indexed citations
10.
Michel, Stéphanie, et al.. (2021). How can single particle compression and nanoindentation contribute to the understanding of pharmaceutical powder compression?. European Journal of Pharmaceutics and Biopharmaceutics. 165. 203–218. 9 indexed citations
11.
Finke, Jan Henrik, et al.. (2020). Spray drying of API nanosuspensions: Importance of drying temperature, type and content of matrix former and particle size for successful formulation and process development. European Journal of Pharmaceutics and Biopharmaceutics. 152. 63–71. 15 indexed citations
12.
Tsinman, Konstantin, Oksana Tsinman, Bernd Riebesehl, et al.. (2018). Ranking Itraconazole Formulations Based on the Flux through Artificial Lipophilic Membrane. Pharmaceutical Research. 35(8). 161–161. 29 indexed citations
13.
Kwade, Arno, et al.. (2017). Impact of Formulation Properties and Process Parameters on the Dispensing and Depositioning of Drug Nanosuspensions Using Micro-Valve Technology. Journal of Pharmaceutical Sciences. 106(4). 1102–1110. 20 indexed citations
14.
Kwade, Arno, et al.. (2017). Alternative Manufacturing Concepts for Solid Oral Dosage Forms From Drug Nanosuspensions Using Fluid Dispensing and Forced Drying Technology. Journal of Pharmaceutical Sciences. 107(3). 909–921. 7 indexed citations
15.
Juhnke, Michael, et al.. (2015). Process parameter dependent growth phenomena of naproxen nanosuspension manufactured by wet media milling. European Journal of Pharmaceutics and Biopharmaceutics. 92. 171–179. 67 indexed citations
16.
Juhnke, Michael, et al.. (2012). Generation of wear during the production of drug nanosuspensions by wet media milling. European Journal of Pharmaceutics and Biopharmaceutics. 81(1). 214–222. 80 indexed citations
17.
Juhnke, Michael, et al.. (2010). Accelerated Formulation Development for Nanomilled Active Pharmaceutical Ingredients Using a Screening Approach. Chemical Engineering & Technology. 33(9). 1412–1418. 41 indexed citations
18.
Juhnke, Michael & Reiner Weichert. (2005). Erzeugung von Nanopartikeln durch Feinstzerkleinerung bei hohen Reinheitsanforderungen. Chemie Ingenieur Technik. 77(8). 1008–1009. 2 indexed citations
19.
Juhnke, Michael & Reiner Weichert. (2005). Zerkleinerung weicher Materialien ohne Verunreinigung der Produkte durch die Mahlkörper. Chemie Ingenieur Technik. 77(1-2). 90–94. 7 indexed citations
20.
Juhnke, Michael & Reiner Weichert. (2004). Erzeugung von Nanopartikeln durch Trockenzerkleinerung mit festen Mahlhilfsmitteln. Chemie Ingenieur Technik. 76(9). 1377–1377. 2 indexed citations

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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