Markus Juza

1.5k total citations
37 papers, 1.2k citations indexed

About

Markus Juza is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Markus Juza has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Spectroscopy, 19 papers in Molecular Biology and 18 papers in Biomedical Engineering. Recurrent topics in Markus Juza's work include Analytical Chemistry and Chromatography (29 papers), Protein purification and stability (11 papers) and Microfluidic and Capillary Electrophoresis Applications (11 papers). Markus Juza is often cited by papers focused on Analytical Chemistry and Chromatography (29 papers), Protein purification and stability (11 papers) and Microfluidic and Capillary Electrophoresis Applications (11 papers). Markus Juza collaborates with scholars based in Germany, Switzerland and Italy. Markus Juza's co-authors include Volker Schurig, Massimo Morbidelli, Marco Mazzotti, Simona Collina, U. Bölz, Reiner Aichholz, Daniela Rossi, Raffaella Gaggeri, Andrea Mele and K. Bodenhöfer and has published in prestigious journals such as Analytical Chemistry, Chemistry - A European Journal and Journal of Chromatography A.

In The Last Decade

Markus Juza

37 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Juza Germany 22 793 517 504 175 161 37 1.2k
Weiyong Li United States 19 604 0.8× 319 0.6× 153 0.3× 380 2.2× 171 1.1× 36 1.0k
George L. Reid United States 12 569 0.7× 429 0.8× 148 0.3× 231 1.3× 88 0.5× 19 864
Patrick Gaillard Switzerland 23 340 0.4× 164 0.3× 507 1.0× 84 0.5× 163 1.0× 31 1.5k
Claude Eon France 18 1.0k 1.3× 592 1.1× 246 0.5× 351 2.0× 246 1.5× 32 1.3k
Larry Miller United States 20 742 0.9× 482 0.9× 306 0.6× 364 2.1× 106 0.7× 47 1.0k
Heinz Engelhardt Germany 25 1.1k 1.4× 982 1.9× 352 0.7× 398 2.3× 216 1.3× 67 1.7k
Mirlinda Biba United States 20 736 0.9× 382 0.7× 364 0.7× 412 2.4× 116 0.7× 36 1.2k
Soon M. Han United States 18 843 1.1× 438 0.8× 243 0.5× 211 1.2× 146 0.9× 26 1.1k
Adam Ibrahim United Kingdom 15 1.2k 1.5× 410 0.8× 309 0.6× 272 1.6× 324 2.0× 16 1.7k
Huaming Sheng United States 17 259 0.3× 358 0.7× 503 1.0× 104 0.6× 124 0.8× 52 1.3k

Countries citing papers authored by Markus Juza

Since Specialization
Citations

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

Fields of papers citing papers by Markus Juza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Juza

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Juza. A scholar is included among the top collaborators of Markus Juza 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 Markus Juza. Markus Juza 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
1.
Rossi, Daniela, Annamaria Marra, Marta Rui, et al.. (2015). “Fit-for-purpose” development of analytical and (semi)preparative enantioselective high performance liquid and supercritical fluid chromatography for the access to a novel σ 1 receptor agonist. Journal of Pharmaceutical and Biomedical Analysis. 118. 363–369. 11 indexed citations
2.
Caronna, Tullio, Andrea Mele, Antonino Famulari, et al.. (2015). A Combined Experimental and Theoretical Study on the Stereodynamics of Monoaza[5]helicenes: Solvent‐Induced Increase of the Enantiomerization Barrier in 1‐Aza‐[5]helicene. Chemistry - A European Journal. 21(40). 13919–13924. 26 indexed citations
4.
Gaggeri, Raffaella, et al.. (2011). Quick development of an analytical enantioselective high performance liquid chromatography separation and preparative scale-up for the flavonoid Naringenin. Journal of Chromatography A. 1218(32). 5414–5422. 51 indexed citations
5.
Grill, Charles M., et al.. (2011). Simulated moving bed starting conditions using an empirical model for S-shaped adsorption isotherms. Journal of Chromatography A. 1227. 73–81. 4 indexed citations
6.
Miller, Larry & Markus Juza. (2005). Stability problems of polyether ether ketone and ethylene-tetrafluoroethylene copolymer tubing in simulated moving bed operation. Journal of Chromatography A. 1094(1-2). 165–168. 3 indexed citations
7.
Juza, Markus, et al.. (2005). Less common applications of simulated moving bed chromatography in the pharmaceutical industry. Journal of Chromatography A. 1092(1). 24–35. 6 indexed citations
8.
Miller, Larry, et al.. (2003). Batch and simulated moving bed chromatographic resolution of a pharmaceutical racemate. Journal of Chromatography A. 1006(1-2). 267–280. 40 indexed citations
9.
Juza, Markus, et al.. (2002). Impact of a modification in the production process of an amylose derived stationary phase on the SMB separation of a pharmaceutical intermediate. Separation Science and Technology. 37(7). 1567–1590. 3 indexed citations
10.
Juza, Markus, et al.. (2001). Modification of a commercial chiral stationary phase. Journal of Chromatography A. 908(1-2). 185–200. 19 indexed citations
11.
Juza, Markus, Marco Mazzotti, & Massimo Morbidelli. (2000). Simulated moving-bed chromatography and its application to chirotechnology. Trends in biotechnology. 18(3). 108–118. 270 indexed citations
12.
Juza, Markus, et al.. (1999). Quantitative determination of isoflurane enantiomers in blood samples during and after surgery via headspace gas chromatography–mass spectrometry. Journal of Chromatography B Biomedical Sciences and Applications. 735(1). 93–102. 8 indexed citations
13.
Juza, Markus, et al.. (1999). Enantiomer separation of α-ionone using gas chromatography with cyclodextrin derivatives as chiral stationary phases. Journal of Chromatography A. 865(1-2). 201–210. 25 indexed citations
14.
Juza, Markus. (1999). Development of an high-performance liquid chromatographic simulated moving bed separation from an industrial perspective. Journal of Chromatography A. 865(1-2). 35–49. 39 indexed citations
15.
Juza, Markus, et al.. (1998). Dual chiral recognition system involving cyclodextrin derivatives in capillary electrophoresis II. Enhancement of enantioselectivity. Electrophoresis. 19(5). 738–744. 33 indexed citations
16.
Juza, Markus, et al.. (1997). Electrokinetic chromatography employing an anionic and a cationic β‐cyclodextrin derivative. Electrophoresis. 18(6). 897–904. 39 indexed citations
18.
Eger, Edmond I., Donald D. Koblin, Michael J. Laster, et al.. (1997). Minimum Alveolar Anesthetic Concentration Values for the Enantiomers of Isoflurane Differ Minimally. Anesthesia & Analgesia. 85(1). 188–192. 43 indexed citations
20.
Schurig, Volker, et al.. (1995). Enantiomer separation of chiral inhalation anesthetics (enflurane, isoflurane and desflurane) by gas chromatography on a γ‐cyclodextrin derivative. Recueil des Travaux Chimiques des Pays-Bas. 114(4-5). 211–219. 31 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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