Pascal Baumann

629 total citations
22 papers, 489 citations indexed

About

Pascal Baumann is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biotechnology. According to data from OpenAlex, Pascal Baumann has authored 22 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biotechnology. Recurrent topics in Pascal Baumann's work include Protein purification and stability (15 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Pascal Baumann is often cited by papers focused on Protein purification and stability (15 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Pascal Baumann collaborates with scholars based in Germany, Australia and Switzerland. Pascal Baumann's co-authors include Jürgen Hubbuch, Roman Buckow, Kai Knoerzer, Tobias Hahn, Gang Wang, Till Briskot, Vincent Heuveline, Anna Osberghaus, Philipp Vormittag and Anton P. J. Middelberg and has published in prestigious journals such as Journal of Chromatography A, International Journal of Pharmaceutics and Biotechnology and Bioengineering.

In The Last Decade

Pascal Baumann

22 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pascal Baumann Germany 12 277 123 116 108 64 22 489
Raimund Geidobler Germany 9 432 1.6× 62 0.5× 88 0.8× 73 0.7× 20 0.3× 12 624
Julia Christina Kasper Germany 11 737 2.7× 77 0.6× 185 1.6× 141 1.3× 32 0.5× 14 1.0k
David E. Overcashier United States 8 497 1.8× 69 0.6× 155 1.3× 60 0.6× 28 0.4× 9 625
John S. Ayers New Zealand 9 324 1.2× 51 0.4× 82 0.7× 57 0.5× 57 0.9× 10 539
Henning Gieseler Germany 23 897 3.2× 82 0.7× 271 2.3× 228 2.1× 65 1.0× 59 1.3k
Maryam Khatami Iran 11 199 0.7× 36 0.3× 44 0.4× 78 0.7× 12 0.2× 26 343
June‐Hyung Kim South Korea 15 262 0.9× 67 0.5× 39 0.3× 134 1.2× 26 0.4× 24 539
Varsha Joshi India 13 349 1.3× 39 0.3× 181 1.6× 57 0.5× 50 0.8× 15 523
Saroj Shah United States 10 671 2.4× 82 0.7× 79 0.7× 179 1.7× 30 0.5× 11 1.1k
M. Bulmer United Kingdom 11 342 1.2× 33 0.3× 33 0.3× 167 1.5× 23 0.4× 23 452

Countries citing papers authored by Pascal Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Baumann

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Baumann. A scholar is included among the top collaborators of Pascal Baumann 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 Pascal Baumann. Pascal Baumann 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.
Baumann, Pascal, et al.. (2025). Self-supervised and few-shot learning for robust bioaerosol monitoring. Aerobiologia. 41(2). 263–268. 1 indexed citations
2.
3.
Wang, Gang, Till Briskot, Tobias Hahn, Pascal Baumann, & Jürgen Hubbuch. (2017). Estimation of adsorption isotherm and mass transfer parameters in protein chromatography using artificial neural networks. Journal of Chromatography A. 1487. 211–217. 49 indexed citations
4.
5.
Baumann, Pascal, et al.. (2017). Effect of PEG molecular weight and PEGylation degree on the physical stability of PEGylated lysozyme. International Journal of Pharmaceutics. 519(1-2). 408–417. 59 indexed citations
6.
Wang, Gang, Till Briskot, Tobias Hahn, Pascal Baumann, & Jürgen Hubbuch. (2017). Root cause investigation of deviations in protein chromatography based on mechanistic models and artificial neural networks. Journal of Chromatography A. 1515. 146–153. 30 indexed citations
7.
Baumann, Pascal, et al.. (2016). Strategy for assessment of the colloidal and biological stability of H1N1 influenza A viruses. International Journal of Pharmaceutics. 517(1-2). 80–87. 4 indexed citations
8.
9.
Baumann, Pascal & Jürgen Hubbuch. (2016). Downstream process development strategies for effective bioprocesses: Trends, progress, and combinatorial approaches. Engineering in Life Sciences. 17(11). 1142–1158. 50 indexed citations
10.
11.
Baumann, Pascal, et al.. (2015). High-throughput process development of an alternative platform for the production of virus-like particles in Escherichia coli. Journal of Biotechnology. 219. 7–19. 17 indexed citations
12.
Baumann, Pascal, Anna Osberghaus, & Jürgen Hubbuch. (2015). Systematic purification of salt‐intolerant proteins by ion‐exchange chromatography: The example of human α‐galactosidase A. Engineering in Life Sciences. 15(2). 195–207. 3 indexed citations
13.
Baumann, Pascal, et al.. (2015). Influence of binding pH and protein solubility on the dynamic binding capacity in hydrophobic interaction chromatography. Journal of Chromatography A. 1396. 77–85. 30 indexed citations
14.
Baumann, Pascal, et al.. (2015). Deconvolution of high‐throughput multicomponent isotherms using multivariate data analysis of protein spectra. Engineering in Life Sciences. 16(2). 194–201. 7 indexed citations
15.
Hahn, Tobias, et al.. (2015). UV absorption‐based inverse modeling of protein chromatography. Engineering in Life Sciences. 16(2). 99–106. 37 indexed citations
16.
Baumann, Pascal, Tobias Hahn, & Jürgen Hubbuch. (2015). High‐throughput micro‐scale cultivations and chromatography modeling: Powerful tools for integrated process development. Biotechnology and Bioengineering. 112(10). 2123–2133. 21 indexed citations
17.
Osberghaus, Anna, Pascal Baumann, Stefan Hepbildikler, et al.. (2012). Detection, Quantification, and Propagation of Uncertainty in High‐Throughput Experimentation by Monte Carlo Methods. Chemical Engineering & Technology. 35(8). 1456–1464. 8 indexed citations
18.
Knoerzer, Kai, Pascal Baumann, & Roman Buckow. (2011). An iterative modelling approach for improving the performance of a pulsed electric field (PEF) treatment chamber. Computers & Chemical Engineering. 37. 48–63. 31 indexed citations
19.
Buckow, Roman, et al.. (2011). Effect of dimensions and geometry of co-field and co-linear pulsed electric field treatment chambers on electric field strength and energy utilisation. Journal of Food Engineering. 105(3). 545–556. 43 indexed citations
20.
Buckow, Roman, et al.. (2010). Simulation and evaluation of pilot-scale pulsed electric field (PEF) processing. Journal of Food Engineering. 101(1). 67–77. 60 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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