Uwe Jandt

463 total citations
28 papers, 272 citations indexed

About

Uwe Jandt is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Uwe Jandt has authored 28 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Biomedical Engineering and 5 papers in Genetics. Recurrent topics in Uwe Jandt's work include Viral Infectious Diseases and Gene Expression in Insects (15 papers), 3D Printing in Biomedical Research (9 papers) and Gene Regulatory Network Analysis (6 papers). Uwe Jandt is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (15 papers), 3D Printing in Biomedical Research (9 papers) and Gene Regulatory Network Analysis (6 papers). Uwe Jandt collaborates with scholars based in Germany, Netherlands and United States. Uwe Jandt's co-authors include An‐Ping Zeng, Ralf Pörtner, Johannes Möller, Chun You, Kristoffer Riecken, Manfred Wirth, Heike P. Schuchmann, Volker Sandig, M. Azad Emin and Ulrich Kulozik and has published in prestigious journals such as The Journal of Physical Chemistry B, Analytical Biochemistry and Biochemical Journal.

In The Last Decade

Uwe Jandt

27 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uwe Jandt Germany 12 196 94 32 30 25 28 272
Ralf Kelle Germany 7 224 1.1× 105 1.1× 30 0.9× 24 0.8× 16 0.6× 8 267
Juan C. Aon United States 10 312 1.6× 75 0.8× 35 1.1× 21 0.7× 37 1.5× 20 354
Anja Baumeister Germany 6 302 1.5× 65 0.7× 15 0.5× 11 0.4× 21 0.8× 7 342
Andreas Schwentner Germany 6 297 1.5× 116 1.2× 48 1.5× 25 0.8× 9 0.4× 9 336
Fairoz Mat-Jan United States 7 337 1.7× 105 1.1× 95 3.0× 74 2.5× 14 0.6× 8 391
Daqing Xu China 11 395 2.0× 169 1.8× 71 2.2× 40 1.3× 26 1.0× 21 419
Seung Bum Sohn South Korea 7 504 2.6× 237 2.5× 35 1.1× 14 0.5× 15 0.6× 7 546
Juan‐Carlos Sigala Mexico 11 260 1.3× 86 0.9× 131 4.1× 27 0.9× 13 0.5× 30 329
G. Stephanopoulos United States 8 408 2.1× 78 0.8× 121 3.8× 28 0.9× 7 0.3× 10 476
Tobias Georgi Germany 6 363 1.9× 179 1.9× 61 1.9× 61 2.0× 19 0.8× 6 397

Countries citing papers authored by Uwe Jandt

Since Specialization
Citations

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

Fields of papers citing papers by Uwe Jandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Jandt

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Jandt. A scholar is included among the top collaborators of Uwe Jandt 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 Uwe Jandt. Uwe Jandt 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.
Möller, Johannes, et al.. (2020). Quantification of the dynamics of population heterogeneities in CHO cultures with stably integrated fluorescent markers. Analytical and Bioanalytical Chemistry. 412(9). 2065–2080. 5 indexed citations
2.
Möller, Johannes, et al.. (2020). Regulation of pyruvate dehydrogenase complex related to lactate switch in CHO cells. Engineering in Life Sciences. 21(3-4). 100–114. 10 indexed citations
3.
Uttinger, Maximilian J., et al.. (2020). Measurement of length distribution of beta-lactoglobulin fibrils by multiwavelength analytical ultracentrifugation. European Biophysics Journal. 49(8). 745–760. 10 indexed citations
4.
Möller, Johannes, et al.. (2019). Process‐induced cell cycle oscillations in CHO cultures: Online monitoring and model‐based investigation. Biotechnology and Bioengineering. 116(11). 2931–2943. 14 indexed citations
5.
Wurm, M., et al.. (2019). Direct and highly sensitive measurement of fluorescent molecules in bulk solutions using flow cytometry. Analytical Biochemistry. 570. 32–42. 1 indexed citations
6.
Möller, Johannes, et al.. (2018). Model‐based identification of cell‐cycle‐dependent metabolism and putative autocrine effects in antibody producing CHO cell culture. Biotechnology and Bioengineering. 115(12). 2996–3008. 17 indexed citations
7.
Zeng, An‐Ping, et al.. (2018). Full Enzyme Complex Simulation: Interactions in Human Pyruvate Dehydrogenase Complex. Journal of Chemical Information and Modeling. 58(2). 362–369. 16 indexed citations
8.
Zeng, An‐Ping, et al.. (2017). Investigation of Core Structure and Stability of Human Pyruvate Dehydrogenase Complex: A Coarse-Grained Approach. ACS Omega. 2(3). 1134–1145. 11 indexed citations
9.
Riecken, Kristoffer, et al.. (2017). CHO cells engineered for fluorescence read out of cell cycle and growth rate in real time. Biotechnology Progress. 33(5). 1408–1417. 3 indexed citations
10.
Zeng, An‐Ping, et al.. (2016). Human Pyruvate Dehydrogenase Complex E2 and E3BP Core Subunits: New Models and Insights from Molecular Dynamics Simulations. The Journal of Physical Chemistry B. 120(19). 4399–4409. 14 indexed citations
11.
Jandt, Uwe, et al.. (2014). Mammalian cell culture synchronization under physiological conditions and population dynamic simulation. Applied Microbiology and Biotechnology. 98(10). 4311–4319. 15 indexed citations
12.
Jandt, Uwe, et al.. (2013). Compartmentalization and Metabolic Channeling for Multienzymatic Biosynthesis: Practical Strategies and Modeling Approaches. Advances in biochemical engineering, biotechnology. 137. 41–65. 28 indexed citations
13.
Chen, Zhen, Uwe Jandt, Sugima Rappert, & An‐Ping Zeng. (2013). Proteindesign für die Entwicklung von industriellen Mikroorganismen. BIOspektrum. 19(1). 99–101. 3 indexed citations
14.
Jandt, Uwe, Mario E. Villanueva, Udo Reichl, et al.. (2012). Evaluation of criteria for bioreactor comparison and operation standardization for mammalian cell culture. Engineering in Life Sciences. 12(5). 518–528. 26 indexed citations
15.
Jandt, Uwe & An‐Ping Zeng. (2011). Modeling of Intracellular Transport and Compartmentation. PubMed. 127. 221–249. 6 indexed citations
16.
Jandt, Uwe, et al.. (2011). Spatiotemporal modeling and analysis of transient gene delivery. Biotechnology and Bioengineering. 108(9). 2205–2217. 11 indexed citations
17.
Jandt, Uwe, Mario E. Villanueva, Udo Reichl, et al.. (2011). Criteria for bioreactor comparison and operation standardisation during process development for mammalian cell culture. BMC Proceedings. 5(S8). P47–P47. 5 indexed citations
18.
Jandt, Uwe, Ralf Hass, Cornelia Kasper, et al.. (2011). Physical methods for synchronization of a human production cell line. BMC Proceedings. 5(S8). P49–P49. 5 indexed citations
19.
Schräder, Eva, Sebastian Scholz, Jens Niklas, et al.. (2011). Characterisation of cultivation of the human cell line AGE1.HN.AAT. BMC Proceedings. 5(S8). P87–P87. 2 indexed citations
20.
Jandt, Uwe, et al.. (2010). Spatiotemporal Modeling of Transient Transfection Processes in Mammalian Cell Culture. Chemie Ingenieur Technik. 82(9). 1503–1503.

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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