Matthias Rüdt

613 total citations
17 papers, 482 citations indexed

About

Matthias Rüdt is a scholar working on Molecular Biology, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, Matthias Rüdt has authored 17 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Spectroscopy and 7 papers in Analytical Chemistry. Recurrent topics in Matthias Rüdt's work include Viral Infectious Diseases and Gene Expression in Insects (10 papers), Protein purification and stability (9 papers) and Analytical Chemistry and Chromatography (7 papers). Matthias Rüdt is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (10 papers), Protein purification and stability (9 papers) and Analytical Chemistry and Chromatography (7 papers). Matthias Rüdt collaborates with scholars based in Germany, Switzerland and United States. Matthias Rüdt's co-authors include Jürgen Hubbuch, Till Briskot, Stefan Heißler, Philipp Vormittag, B. Kalbfuß, Michaela Wendeler, Mathias Sawall and Klaus Neymeyr and has published in prestigious journals such as Journal of Chromatography A, Chemical Engineering Science and Biotechnology and Bioengineering.

In The Last Decade

Matthias Rüdt

17 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Rüdt Germany 12 335 135 112 103 87 17 482
Nicholas R. Abu‐Absi United States 11 554 1.7× 109 0.8× 167 1.5× 137 1.3× 96 1.1× 13 660
E.K. Read India 4 272 0.8× 59 0.4× 57 0.5× 39 0.4× 83 1.0× 4 345
Letha Chemmalil United States 10 347 1.0× 46 0.3× 115 1.0× 47 0.5× 124 1.4× 16 487
Sebastian Vogg Switzerland 12 408 1.2× 50 0.4× 149 1.3× 22 0.2× 129 1.5× 18 462
Kelly Wiltberger United States 11 379 1.1× 117 0.9× 133 1.2× 151 1.5× 49 0.6× 12 460
Till Briskot Germany 12 314 0.9× 43 0.3× 79 0.7× 16 0.2× 103 1.2× 16 386
Fabian Steinebach Switzerland 13 690 2.1× 86 0.6× 175 1.6× 8 0.1× 269 3.1× 17 768
Steffen Zobel‐Roos Germany 13 286 0.9× 31 0.2× 107 1.0× 11 0.1× 39 0.4× 15 365
Bruno Lenain United States 3 133 0.4× 143 1.1× 64 0.6× 128 1.2× 10 0.1× 6 368
Susanne W. Bruun Denmark 11 133 0.4× 161 1.2× 33 0.3× 111 1.1× 28 0.3× 13 399

Countries citing papers authored by Matthias Rüdt

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Rüdt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Rüdt

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

All Works

17 of 17 papers shown
1.
Rüdt, Matthias, et al.. (2025). The Missing Link: Connecting Cultivation Conditions and Refolding Performance via Inclusion Body Biophysical Properties. Biotechnology and Bioengineering. 122(11). 3098–3113. 1 indexed citations
2.
Rüdt, Matthias, et al.. (2024). Generative data augmentation and automated optimization of convolutional neural networks for process monitoring. Frontiers in Bioengineering and Biotechnology. 12. 1228846–1228846. 6 indexed citations
3.
Hubbuch, Jürgen, et al.. (2023). Monitoring of ultra- and diafiltration processes by Kalman-filtered Raman measurements. Analytical and Bioanalytical Chemistry. 415(5). 841–854. 12 indexed citations
4.
Rüdt, Matthias, et al.. (2021). Comparison of UV‐ and Raman‐based monitoring of the Protein A load phase and evaluation of data fusion by PLS models and CNNs. Biotechnology and Bioengineering. 118(11). 4255–4268. 23 indexed citations
5.
Rüdt, Matthias, et al.. (2020). A multisensor approach for improved protein A load phase monitoring by conductivity‐based background subtraction of UV spectra. Biotechnology and Bioengineering. 118(2). 905–917. 6 indexed citations
6.
Sawall, Mathias, Matthias Rüdt, Jürgen Hubbuch, & Klaus Neymeyr. (2020). On the analysis of chromatographic biopharmaceutical data by curve resolution techniques in the framework of the area of feasible solutions. Journal of Chromatography A. 1627. 461420–461420. 1 indexed citations
7.
Rüdt, Matthias, et al.. (2020). Multi-attribute PAT for UF/DF of Proteins—Monitoring Concentration, particle sizes, and Buffer Exchange. Analytical and Bioanalytical Chemistry. 412(9). 2123–2136. 35 indexed citations
8.
Rüdt, Matthias, et al.. (2020). A critical review of recent trends, and a future perspective of optical spectroscopy as PAT in biopharmaceutical downstream processing. Analytical and Bioanalytical Chemistry. 412(9). 2047–2064. 76 indexed citations
9.
Rüdt, Matthias, et al.. (2019). Process monitoring of virus‐like particle reassembly by diafiltration with UV/Vis spectroscopy and light scattering. Biotechnology and Bioengineering. 116(6). 1366–1379. 27 indexed citations
10.
Rüdt, Matthias, et al.. (2019). Fourier-transform infrared spectroscopy as a process analytical technology for near real time in-line estimation of the degree of PEGylation in chromatography. Journal of Chromatography A. 1608. 460410–460410. 14 indexed citations
11.
Rüdt, Matthias, et al.. (2018). Monitoring of antibody-drug conjugation reactions with UV/Vis spectroscopy. Journal of Biotechnology. 288. 15–22. 14 indexed citations
12.
Rüdt, Matthias, et al.. (2018). In-line Fourier-transform infrared spectroscopy as a versatile process analytical technology for preparative protein chromatography. Journal of Chromatography A. 1547. 37–44. 59 indexed citations
13.
Rüdt, Matthias, et al.. (2018). Factorization of preparative protein chromatograms with hard-constraint multivariate curve resolution and second-derivative pretreatment. Journal of Chromatography A. 1585. 152–160. 7 indexed citations
14.
Rüdt, Matthias, et al.. (2017). Selective protein quantification for preparative chromatography using variable pathlength UV/Vis spectroscopy and partial least squares regression. Chemical Engineering Science. 176. 157–164. 55 indexed citations
15.
Rüdt, Matthias, Till Briskot, & Jürgen Hubbuch. (2016). Advances in downstream processing of biologics – Spectroscopy: An emerging process analytical technology. Journal of Chromatography A. 1490. 2–9. 65 indexed citations
16.
Rüdt, Matthias, et al.. (2016). Real‐time monitoring and control of the load phase of a protein A capture step. Biotechnology and Bioengineering. 114(2). 368–373. 47 indexed citations
17.
Rüdt, Matthias, et al.. (2015). Combined Yamamoto approach for simultaneous estimation of adsorption isotherm and kinetic parameters in ion-exchange chromatography. Journal of Chromatography A. 1413. 68–76. 34 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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