Mark Duerkop

596 total citations
16 papers, 412 citations indexed

About

Mark Duerkop is a scholar working on Molecular Biology, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Mark Duerkop has authored 16 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Control and Systems Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Mark Duerkop's work include Viral Infectious Diseases and Gene Expression in Insects (11 papers), Protein purification and stability (7 papers) and Advanced Control Systems Optimization (4 papers). Mark Duerkop is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (11 papers), Protein purification and stability (7 papers) and Advanced Control Systems Optimization (4 papers). Mark Duerkop collaborates with scholars based in Austria, United Kingdom and Germany. Mark Duerkop's co-authors include Astrid Dürauer, Gerald Striedner, Alois Jungbauer, Eva Berger, Moritz von Stosch, Michael Melcher, Bernhard Sissolak, Johannes Möller, Ralf Pörtner and Florian Strobl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Separation and Purification Technology.

In The Last Decade

Mark Duerkop

16 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Duerkop Austria 11 285 116 74 46 42 16 412
Stephen Goldrick United Kingdom 13 248 0.9× 115 1.0× 140 1.9× 38 0.8× 74 1.8× 28 441
Martin F. Luna Argentina 9 333 1.2× 110 0.9× 133 1.8× 51 1.1× 40 1.0× 20 469
N. J. Titchener–Hooker United Kingdom 13 311 1.1× 161 1.4× 46 0.6× 42 0.9× 34 0.8× 33 489
Sophia Ulonska Austria 8 273 1.0× 55 0.5× 97 1.3× 25 0.5× 23 0.5× 8 396
Saxena Nikita India 12 215 0.8× 108 0.9× 148 2.0× 31 0.7× 37 0.9× 30 470
Marco Jenzsch Germany 17 593 2.1× 193 1.7× 228 3.1× 50 1.1× 32 0.8× 24 727
Hajo Suhr Germany 10 180 0.6× 110 0.9× 17 0.2× 17 0.4× 22 0.5× 17 317
Steffen Zobel‐Roos Germany 13 286 1.0× 107 0.9× 42 0.6× 39 0.8× 35 0.8× 15 365
Mili Pathak India 13 359 1.3× 90 0.8× 28 0.4× 138 3.0× 25 0.6× 19 436
Valadi K. Jayaraman India 11 335 1.2× 87 0.8× 18 0.2× 10 0.2× 50 1.2× 25 556

Countries citing papers authored by Mark Duerkop

Since Specialization
Citations

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

Fields of papers citing papers by Mark Duerkop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Duerkop

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

All Works

16 of 16 papers shown
1.
2.
Muendlein, Axel, Thomas Winder, Peter Fraunberger, et al.. (2022). SARS-CoV-2 RBD-specific and NP-specific antibody response of healthcare workers in the westernmost Austrian state Vorarlberg: a prospective cohort study. BMJ Open. 12(5). e052130–e052130. 2 indexed citations
3.
Duerkop, Mark, et al.. (2022). Comparison of mechanistic and hybrid modeling approaches for characterization of a CHO cultivation process: Requirements, pitfalls and solution paths. Biotechnology Journal. 18(1). e2200381–e2200381. 22 indexed citations
4.
Duerkop, Mark, et al.. (2021). Model Transferability and Reduced Experimental Burden in Cell Culture Process Development Facilitated by Hybrid Modeling and Intensified Design of Experiments. Frontiers in Bioengineering and Biotechnology. 9. 740215–740215. 23 indexed citations
5.
Strobl, Florian, Mark Duerkop, Dieter Palmberger, & Gerald Striedner. (2021). High shear resistance of insect cells: the basis for substantial improvements in cell culture process design. Scientific Reports. 11(1). 9413–9413. 7 indexed citations
6.
7.
Duerkop, Mark, et al.. (2021). Hybrid modeling reduces experimental effort to predict performance of serial and parallel single-pass tangential flow filtration. Separation and Purification Technology. 276. 119277–119277. 22 indexed citations
8.
Melcher, Michael, et al.. (2021). Digital Twin Application for Model-Based DoE to Rapidly Identify Ideal Process Conditions for Space-Time Yield Optimization. Processes. 9(7). 1109–1109. 32 indexed citations
9.
Striedner, Gerald, et al.. (2020). Hybrid Modeling and Intensified DoE: An Approach to Accelerate Upstream Process Characterization. Biotechnology Journal. 15(9). e2000121–e2000121. 41 indexed citations
10.
Stosch, Moritz von, et al.. (2020). Comparison of Modeling Methods for DoE‐Based Holistic Upstream Process Characterization. Biotechnology Journal. 15(5). e1900551–e1900551. 34 indexed citations
11.
12.
Dürauer, Astrid, et al.. (2020). Hybrid modeling of cross-flow filtration: Predicting the flux evolution and duration of ultrafiltration processes. Separation and Purification Technology. 248. 117064–117064. 42 indexed citations
13.
Sissolak, Bernhard, et al.. (2019). The shortcomings of accurate rate estimations in cultivation processes and a solution for precise and robust process modeling. Bioprocess and Biosystems Engineering. 43(2). 169–178. 20 indexed citations
14.
Stosch, Moritz von, et al.. (2019). Soft sensor based on 2D‐fluorescence and process data enabling real‐time estimation of biomass in Escherichia coli cultivations. Engineering in Life Sciences. 20(1-2). 26–35. 21 indexed citations
15.
Duerkop, Mark, Eva Berger, Astrid Dürauer, & Alois Jungbauer. (2018). Impact of Cavitation, High Shear Stress and Air/Liquid Interfaces on Protein Aggregation. Biotechnology Journal. 13(7). e1800062–e1800062. 94 indexed citations
16.
Duerkop, Mark, Eva Berger, Astrid Dürauer, & Alois Jungbauer. (2017). Influence of cavitation and high shear stress on HSA aggregation behavior. Engineering in Life Sciences. 18(3). 169–178. 32 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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