Patrick Schulz

953 total citations
25 papers, 656 citations indexed

About

Patrick Schulz is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Patrick Schulz has authored 25 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Genetics. Recurrent topics in Patrick Schulz's work include Viral Infectious Diseases and Gene Expression in Insects (14 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Protein purification and stability (6 papers). Patrick Schulz is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (14 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Protein purification and stability (6 papers). Patrick Schulz collaborates with scholars based in Germany, United States and Australia. Patrick Schulz's co-authors include Syed S. H. Rizvi, Klaus Fendler, Aamir Iqbal, Juan J. García-Celma, Ingo H. Gorr, Simon Fischer, Martin Gamer, Joey Studts, Michaela Blech and Daniel Seeliger and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Biophysical Journal.

In The Last Decade

Patrick Schulz

23 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Schulz Germany 13 478 185 83 80 56 25 656
Nithya Subramanian India 16 422 0.9× 35 0.2× 28 0.3× 42 0.5× 75 1.3× 23 668
Srinivas Jayanthi United States 11 313 0.7× 30 0.2× 28 0.3× 40 0.5× 41 0.7× 31 555
Pegah Varamini Australia 15 440 0.9× 59 0.3× 25 0.3× 24 0.3× 87 1.6× 42 772
Diana Bachran Germany 14 346 0.7× 41 0.2× 28 0.3× 12 0.1× 44 0.8× 20 577
Hossein Sadeghpour Iran 15 290 0.6× 20 0.1× 71 0.9× 66 0.8× 55 1.0× 39 648
Iveta Kloučková United States 13 619 1.3× 73 0.4× 20 0.2× 25 0.3× 113 2.0× 15 826
David Hardy United Kingdom 11 320 0.7× 27 0.1× 23 0.3× 16 0.2× 32 0.6× 17 445
Ya‐Jing Xie China 16 413 0.9× 116 0.6× 37 0.4× 24 0.3× 62 1.1× 45 849
G. Reza Malmirchegini United States 7 1.0k 2.1× 35 0.2× 114 1.4× 15 0.2× 191 3.4× 8 1.2k
Corinna Cappellaro Germany 5 499 1.0× 45 0.2× 15 0.2× 45 0.6× 63 1.1× 5 639

Countries citing papers authored by Patrick Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Schulz. A scholar is included among the top collaborators of Patrick Schulz 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 Patrick Schulz. Patrick Schulz 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.
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Schmidt, Moritz J., et al.. (2024). The new frontier in CHO cell line development: From random to targeted transgene integration technologies. Biotechnology Advances. 75. 108402–108402. 12 indexed citations
3.
Schulz, Patrick, et al.. (2023). Deciphering integration loci of CHO manufacturing cell lines using long read nanopore sequencing. New Biotechnology. 75. 31–39. 7 indexed citations
4.
5.
Schulz, Patrick, et al.. (2023). Multi‐lipase gene knockdown in Chinese hamster ovary cells using artificial microRNAs to reduce host cell protein mediated polysorbate degradation. Biotechnology and Bioengineering. 121(1). 329–340. 5 indexed citations
6.
Fischer, Simon, Shumin Yang, E Zimmermann, et al.. (2021). Loss of a newly discovered microRNA in Chinese hamster ovary cells leads to upregulation of N‐glycolylneuraminic acid sialylation on monoclonal antibodies. Biotechnology and Bioengineering. 119(3). 832–844. 8 indexed citations
7.
Schulz, Patrick & Syed S. H. Rizvi. (2021). Hydrolysis of Lactose in Milk: Current Status and Future Products. Food Reviews International. 39(5). 2875–2894. 11 indexed citations
8.
Handrick, René, Ingo H. Gorr, Patrick Schulz, et al.. (2019). Unraveling what makes a monoclonal antibody difficult‐to‐express: From intracellular accumulation to incomplete folding and degradation via ERAD. Biotechnology and Bioengineering. 117(1). 5–16. 36 indexed citations
9.
Ledentsov, N. N., et al.. (2019). Non-Linear PAM-4 VCSEL Equalization and 22 nm SOI CMOS DAC for 112 Gbit/s Data Transmission. 115–118. 12 indexed citations
10.
Becker, Biserka, Dominic Stoll, Patrick Schulz, Sabine E. Kulling, & Melanie Huch. (2018). Microbial Contamination of Organically and Conventionally Produced Fresh Vegetable Salads and Herbs from Retail Markets in Southwest Germany. Foodborne Pathogens and Disease. 16(4). 269–275. 21 indexed citations
11.
Fischer, Simon, René Handrick, Patrick Schulz, et al.. (2018). Visualisation of intracellular production bottlenecks in suspension-adapted CHO cells producing complex biopharmaceuticals using fluorescence microscopy. Journal of Biotechnology. 271. 47–55. 25 indexed citations
12.
Yang, Shumin, Henry Lin, Guifeng Jiang, et al.. (2018). Study of an unusually high level of N-glycolylneuraminic acid (NGNA) sialylation on a monoclonal antibody expressed in Chinese hamster ovary cells. 2 indexed citations
13.
Kant, Rob van der, Anne R. Karow‐Zwick, Joost Van Durme, et al.. (2017). Prediction and Reduction of the Aggregation of Monoclonal Antibodies. Journal of Molecular Biology. 429(8). 1244–1261. 115 indexed citations
14.
Fischer, Simon, Kim Fabiano Marquart, Martin Gamer, et al.. (2017). miRNA engineering of CHO cells facilitates production of difficult‐to‐express proteins and increases success in cell line development. Biotechnology and Bioengineering. 114(7). 1495–1510. 42 indexed citations
15.
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Seeliger, Daniel, Patrick Schulz, Tobias Litzenburger, et al.. (2015). Boosting antibody developability through rational sequence optimization. mAbs. 7(3). 505–515. 55 indexed citations
17.
Müller, Markus, Germán Leparc, Patrick Schulz, et al.. (2015). A global RNA‐seq‐driven analysis of CHO host and production cell lines reveals distinct differential expression patterns of genes contributing to recombinant antibody glycosylation. Biotechnology Journal. 10(9). 1412–1423. 20 indexed citations
18.
Schulz, Patrick, Johannes Werner, Tobias Stauber, Kim Henriksen, & Klaus Fendler. (2010). The G215R Mutation in the Cl−/H+-Antiporter ClC-7 Found in ADO II Osteopetrosis Does Not Abolish Function but Causes a Severe Trafficking Defect. PLoS ONE. 5(9). e12585–e12585. 42 indexed citations
19.
Schulz, Patrick, et al.. (2009). Measuring Ion Channels on Solid Supported Membranes. Biophysical Journal. 97(1). 388–396. 12 indexed citations
20.
Schulz, Patrick, Juan J. García-Celma, & Klaus Fendler. (2008). SSM-based electrophysiology. Methods. 46(2). 97–103. 89 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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