Ingo H. Gorr

2.8k total citations
20 papers, 916 citations indexed

About

Ingo H. Gorr is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Ingo H. Gorr has authored 20 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cell Biology. Recurrent topics in Ingo H. Gorr's work include Viral Infectious Diseases and Gene Expression in Insects (12 papers), Protein purification and stability (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Ingo H. Gorr is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (12 papers), Protein purification and stability (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Ingo H. Gorr collaborates with scholars based in Germany, Switzerland and United States. Ingo H. Gorr's co-authors include Dominik Boos, Olaf Stemmann, Holger Richly, Thorsten Hoppe, Michael Rapé, Stefan Jentsch, Simon Fischer, Patrick Schulz, Martin Gamer and Harald Bradl and has published in prestigious journals such as Cell, Molecular Cell and PLoS ONE.

In The Last Decade

Ingo H. Gorr

20 papers receiving 899 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingo H. Gorr Germany 12 758 441 101 93 89 20 916
Shannon R. Joseph Australia 11 518 0.7× 382 0.9× 48 0.5× 29 0.3× 103 1.2× 14 832
Julian Andreev United States 9 581 0.8× 247 0.6× 29 0.3× 36 0.4× 235 2.6× 19 915
Thomas Küntziger Norway 18 710 0.9× 191 0.4× 48 0.5× 71 0.8× 72 0.8× 27 846
Kyoko Imoto United States 15 781 1.0× 103 0.2× 101 1.0× 92 1.0× 141 1.6× 20 975
Katie Binley United Kingdom 13 559 0.7× 51 0.1× 127 1.3× 147 1.6× 72 0.8× 22 784
Mo Zhou China 14 732 1.0× 172 0.4× 48 0.5× 74 0.8× 184 2.1× 24 955
Damien Ramel France 18 479 0.6× 463 1.0× 76 0.8× 61 0.7× 83 0.9× 24 871
Brigitte Raynaud‐Messina France 20 930 1.2× 759 1.7× 33 0.3× 60 0.6× 111 1.2× 29 1.2k
Gerald F. Casperson United States 16 664 0.9× 153 0.3× 34 0.3× 197 2.1× 182 2.0× 22 942
Rory Flinn United States 7 394 0.5× 206 0.5× 99 1.0× 27 0.3× 99 1.1× 7 599

Countries citing papers authored by Ingo H. Gorr

Since Specialization
Citations

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

Fields of papers citing papers by Ingo H. Gorr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingo H. Gorr. 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 Ingo H. Gorr. The network helps show where Ingo H. Gorr may publish in the future.

Co-authorship network of co-authors of Ingo H. Gorr

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo H. Gorr. A scholar is included among the top collaborators of Ingo H. Gorr 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 Ingo H. Gorr. Ingo H. Gorr 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.
Gorr, Ingo H., et al.. (2025). Perfusion process with tangential flow filtration for oncolytic VSV-GP production. Frontiers in Bioengineering and Biotechnology. 13. 1588293–1588293. 1 indexed citations
2.
Higgins, Matthew F., et al.. (2022). Accelerated CMC workflows to enable speed to clinic in the COVID ‐19 era: A multi‐company view from the biopharmaceutical industry. Biotechnology Progress. 39(2). e3321–e3321. 7 indexed citations
3.
Gorr, Ingo H., et al.. (2021). Applying intensified design of experiments to mammalian cell culture processes. Engineering in Life Sciences. 22(12). 784–795. 9 indexed citations
4.
Gamer, Martin, et al.. (2021). Structural analysis of random transgene integration in CHO manufacturing cell lines by targeted sequencing. Biotechnology and Bioengineering. 119(3). 868–880. 11 indexed citations
5.
Fischer, Simon, et al.. (2020). Pre-stage perfusion and ultra-high seeding cell density in CHO fed-batch culture: a case study for process intensification guided by systems biotechnology. Bioprocess and Biosystems Engineering. 43(8). 1431–1443. 39 indexed citations
6.
Prade, Elke, et al.. (2020). Cysteine in cell culture media induces acidic IgG1 species by disrupting the disulfide bond network. Biotechnology and Bioengineering. 118(3). 1091–1104. 6 indexed citations
7.
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
8.
Gorr, Ingo H., et al.. (2019). Reduction of IL‐2 fragmentation during manufacturing of a novel immunocytokine by DoE process optimization. Biotechnology and Bioengineering. 116(10). 2503–2513. 6 indexed citations
9.
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
10.
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
11.
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
12.
13.
Hupfeld, Julia, Ingo H. Gorr, Nicola Beaucamp, et al.. (2014). Modulation of mesenchymal stromal cell characteristics by microcarrier culture in bioreactors. Biotechnology and Bioengineering. 111(11). 2290–2302. 59 indexed citations
14.
Larraillet, Vincent, Hubert Kettenberger, Ingo H. Gorr, et al.. (2014). Molecular polygamy: The promiscuity of l‐phenylalanyl‐tRNA‐synthetase triggers misincorporation of meta‐ and ortho‐tyrosine in monoclonal antibodies expressed by Chinese hamster ovary cells. Biotechnology and Bioengineering. 112(6). 1187–1199. 13 indexed citations
15.
Zeck, Anne, Jörg T. Regula, Vincent Larraillet, et al.. (2012). Low Level Sequence Variant Analysis of Recombinant Proteins: An Optimized Approach. PLoS ONE. 7(7). e40328–e40328. 32 indexed citations
16.
Gorr, Ingo H., Alexandra Reis, Dominik Boos, et al.. (2006). Essential CDK1-inhibitory role for separase during meiosis I in vertebrate oocytes. Nature Cell Biology. 8(9). 1035–1037. 51 indexed citations
17.
Gorr, Ingo H., Dominik Boos, & Olaf Stemmann. (2005). Mutual Inhibition of Separase and Cdk1 by Two-Step Complex Formation. Molecular Cell. 19(1). 135–141. 155 indexed citations
18.
Stemmann, Olaf, Ingo H. Gorr, & Dominik Boos. (2005). Anaphase Topsy-Turvy: Cdk1 a Securin, Separase a CKI. Cell Cycle. 5(1). 11–13. 22 indexed citations
19.
Stemmann, Olaf, Dominik Boos, & Ingo H. Gorr. (2005). Rephrasing anaphase: separase FEARs shugoshin. Chromosoma. 113(8). 409–417. 8 indexed citations
20.

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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