Michael Sokolov

1.5k total citations
27 papers, 1.1k citations indexed

About

Michael Sokolov is a scholar working on Molecular Biology, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Michael Sokolov has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Control and Systems Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Michael Sokolov's work include Viral Infectious Diseases and Gene Expression in Insects (23 papers), Protein purification and stability (13 papers) and Advanced Control Systems Optimization (5 papers). Michael Sokolov is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (23 papers), Protein purification and stability (13 papers) and Advanced Control Systems Optimization (5 papers). Michael Sokolov collaborates with scholars based in Switzerland, Italy and Germany. Michael Sokolov's co-authors include Alessandro Butté, Massimo Morbidelli, Harini Narayanan, Martin F. Luna, Moritz von Stosch, Hervé Broly, Paolo Arosio, Jonathan Souquet, Mariano Nicolás Cruz Bournazou and Nikolai Lorenzen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Pharmacological Sciences and Journal of Chromatography A.

In The Last Decade

Michael Sokolov

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Sokolov Switzerland 20 794 225 207 156 87 27 1.1k
Harini Narayanan Switzerland 15 486 0.6× 143 0.6× 140 0.7× 98 0.6× 65 0.7× 20 744
Mariano Nicolás Cruz Bournazou Germany 20 689 0.9× 271 1.2× 276 1.3× 35 0.2× 107 1.2× 65 1.1k
Moritz von Stosch United Kingdom 22 930 1.2× 389 1.7× 492 2.4× 83 0.5× 287 3.3× 58 1.8k
Konstantin B. Konstantinov Japan 19 1.1k 1.4× 447 2.0× 232 1.1× 121 0.8× 54 0.6× 31 1.4k
Seongkyu Yoon United States 27 1.2k 1.5× 342 1.5× 555 2.7× 266 1.7× 461 5.3× 107 2.2k
Martin F. Luna Argentina 9 333 0.4× 110 0.5× 133 0.6× 51 0.3× 40 0.5× 20 469
Dörte Solle Germany 14 502 0.6× 252 1.1× 117 0.6× 45 0.3× 43 0.5× 50 859
Hervé Broly Switzerland 31 1.9k 2.4× 500 2.2× 111 0.5× 735 4.7× 44 0.5× 68 2.2k
Maria M. Papathanasiou United Kingdom 15 262 0.3× 106 0.5× 269 1.3× 49 0.3× 35 0.4× 42 691

Countries citing papers authored by Michael Sokolov

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sokolov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sokolov

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sokolov. A scholar is included among the top collaborators of Michael Sokolov 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 Michael Sokolov. Michael Sokolov 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.
Heider, Susanne, et al.. (2025). Iterative hybrid model based optimization of rAAV production. Biotechnology Progress. 41(4). e70006–e70006. 1 indexed citations
2.
Narayanan, Harini, et al.. (2023). Hybrid modeling for biopharmaceutical processes: advantages, opportunities, and implementation. SHILAP Revista de lepidopterología. 5. 31 indexed citations
3.
Narayanan, Harini, Martin F. Luna, Michael Sokolov, Alessandro Butté, & Massimo Morbidelli. (2022). Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Cell Culture Processes. Industrial & Engineering Chemistry Research. 61(25). 8658–8672. 30 indexed citations
4.
Narayanan, Harini, et al.. (2021). Hybrid Models for the simulation and prediction of chromatographic processes for protein capture. Journal of Chromatography A. 1650. 462248–462248. 55 indexed citations
5.
Narayanan, Harini, Fabian Dingfelder, Alessandro Butté, et al.. (2021). Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation. Trends in Pharmacological Sciences. 42(3). 151–165. 110 indexed citations
6.
Narayanan, Harini, Martin F. Luna, Michael Sokolov, et al.. (2021). Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Capture Chromatographic Step. Industrial & Engineering Chemistry Research. 60(29). 10466–10478. 39 indexed citations
7.
Sokolov, Michael, et al.. (2021). Hybrid modeling — a key enabler towards realizing digital twins in biopharma?. Current Opinion in Chemical Engineering. 34. 100715–100715. 42 indexed citations
8.
Narayanan, Harini, et al.. (2020). Monitoring Parallel Robotic Cultivations with Online Multivariate Analysis. Processes. 8(5). 582–582. 11 indexed citations
9.
Narayanan, Harini, Martin F. Luna, Michael Sokolov, et al.. (2020). Hybrid‐EKF: Hybrid model coupled with extended Kalman filter for real‐time monitoring and control of mammalian cell culture. Biotechnology and Bioengineering. 117(9). 2703–2714. 63 indexed citations
10.
Sokolov, Michael, Matthieu Stettler, Jonathan Souquet, et al.. (2020). Cell culture process metabolomics together with multivariate data analysis tools opens new routes for bioprocess development and glycosylation prediction. Biotechnology Progress. 36(5). e3012–e3012. 31 indexed citations
11.
Vogg, Sebastian, Michael Sokolov, Jonathan Souquet, et al.. (2019). A new flow cell and chemometric protocol for implementing in‐line Raman spectroscopy in chromatography. Biotechnology Progress. 35(5). e2847–e2847. 40 indexed citations
12.
Luna, Martin F., Moritz von Stosch, Mariano Nicolás Cruz Bournazou, et al.. (2019). Bioprocessing in the Digital Age: The Role of Process Models. Biotechnology Journal. 15(1). e1900172–e1900172. 162 indexed citations
13.
Narayanan, Harini, Michael Sokolov, Massimo Morbidelli, & Alessandro Butté. (2019). A new generation of predictive models: The added value of hybrid models for manufacturing processes of therapeutic proteins. Biotechnology and Bioengineering. 116(10). 2540–2549. 86 indexed citations
14.
Narayanan, Harini, Michael Sokolov, Alessandro Butté, & Massimo Morbidelli. (2019). Decision Tree‐PLS (DT‐PLS) algorithm for the development of process: Specific local prediction models. Biotechnology Progress. 35(4). e2818–e2818. 24 indexed citations
15.
Sokolov, Michael, et al.. (2018). Big data in biopharmaceutical process development vice or virtue. 36(6). 26–29. 5 indexed citations
16.
Narayanan, Harini, Michael Sokolov, Florian Glauche, et al.. (2018). Accelerated Bioprocess Development of Endopolygalacturonase-Production with Saccharomyces cerevisiae Using Multivariate Prediction in a 48 Mini-Bioreactor Automated Platform. Bioengineering. 5(4). 101–101. 20 indexed citations
17.
Sokolov, Michael, et al.. (2017). Enhanced process understanding and multivariate prediction of the relationship between cell culture process and monoclonal antibody quality. Biotechnology Progress. 33(5). 1368–1380. 52 indexed citations
18.
Sokolov, Michael, et al.. (2017). Development of Information Support for Intelligent CAD of Cutting Processes. 67–77. 11 indexed citations
19.
Sokolov, Michael, Jean‐Marc Bielser, Miroslav Šoóš, et al.. (2016). Robust factor selection in early cell culture process development for the production of a biosimilar monoclonal antibody. Biotechnology Progress. 33(1). 181–191. 26 indexed citations
20.
Sokolov, Michael, Miroslav Šoóš, Massimo Morbidelli, et al.. (2015). Fingerprint detection and process prediction by multivariate analysis of fed‐batch monoclonal antibody cell culture data. Biotechnology Progress. 31(6). 1633–1644. 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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