David Reinhart

1.2k total citations
23 papers, 851 citations indexed

About

David Reinhart is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, David Reinhart has authored 23 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Genetics. Recurrent topics in David Reinhart's work include Viral Infectious Diseases and Gene Expression in Insects (17 papers), Protein purification and stability (13 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). David Reinhart is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (17 papers), Protein purification and stability (13 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). David Reinhart collaborates with scholars based in Austria, United States and Ireland. David Reinhart's co-authors include Renate Kunert, Christian Kaisermayer, Wolfgang Sommeregger, Michel Kobr, Bernard Mach, Carlos Herrero Sanchez, Sarah W. Satola, Patrick Mayrhofer, Walter Reith and Emmanuèle Barras and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry and Applied Microbiology and Biotechnology.

In The Last Decade

David Reinhart

23 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Reinhart Austria 13 655 324 160 121 105 23 851
Maureen Spearman Canada 17 737 1.1× 318 1.0× 141 0.9× 87 0.7× 122 1.2× 30 910
Patrick Hossler United States 12 851 1.3× 487 1.5× 87 0.5× 86 0.7× 130 1.2× 14 909
Michael J. Gramer United States 13 998 1.5× 605 1.9× 174 1.1× 110 0.9× 114 1.1× 19 1.2k
Tharmala Tharmalingam Ireland 11 675 1.0× 182 0.6× 144 0.9× 97 0.8× 45 0.4× 14 792
Dietmar Weilguny Denmark 14 632 1.0× 264 0.8× 148 0.9× 78 0.6× 41 0.4× 20 839
Michael W. Traxlmayr Austria 19 623 1.0× 374 1.2× 164 1.0× 71 0.6× 139 1.3× 36 869
Michele C. Kieke United States 11 514 0.8× 528 1.6× 271 1.7× 43 0.4× 173 1.6× 14 827
J A Francisco United States 6 386 0.6× 437 1.3× 91 0.6× 49 0.4× 69 0.7× 9 679
H.R. Hoogenboom Netherlands 8 640 1.0× 657 2.0× 213 1.3× 51 0.4× 95 0.9× 12 863
Sung Kwan Yoon South Korea 16 974 1.5× 259 0.8× 65 0.4× 273 2.3× 142 1.4× 26 1.1k

Countries citing papers authored by David Reinhart

Since Specialization
Citations

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

Fields of papers citing papers by David Reinhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Reinhart

This figure shows the co-authorship network connecting the top 25 collaborators of David Reinhart. A scholar is included among the top collaborators of David Reinhart 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 David Reinhart. David Reinhart 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.
Reinhart, David, et al.. (2019). Impact of temperature and pH on recombinant human IgM quality attributes and productivity. New Biotechnology. 50. 20–26. 10 indexed citations
2.
Mayrhofer, Patrick, David Reinhart, Andreas Castan, & Renate Kunert. (2019). Rapid development of clone‐specific, high‐performing perfusion media from established feed supplements. Biotechnology Progress. 36(2). e2933–e2933. 17 indexed citations
3.
Albrecht, Simone, et al.. (2018). Multiple reaction monitoring targeted LC-MS analysis of potential cell death marker proteins for increased bioprocess control. Analytical and Bioanalytical Chemistry. 410(13). 3197–3207. 10 indexed citations
4.
Reinhart, David, et al.. (2018). Differential gene expression of a feed-spiked super-producing CHO cell line. Journal of Biotechnology. 285. 23–37. 12 indexed citations
5.
Reinhart, David, Christian Kaisermayer, Wolfgang Sommeregger, et al.. (2018). Bioprocessing of Recombinant CHO-K1, CHO-DG44, and CHO-S: CHO Expression Hosts Favor Either mAb Production or Biomass Synthesis. Biotechnology Journal. 14(3). 1700686–1700686. 59 indexed citations
6.
Reinhart, David, et al.. (2017). Glycan profile of CHO derived IgM purified by highly efficient single step affinity chromatography. Analytical Biochemistry. 539. 162–166. 14 indexed citations
7.
Kaisermayer, Christian, et al.. (2016). Biphasic cultivation strategy to avoid Epo-Fc aggregation and optimize protein expression. Journal of Biotechnology. 227. 3–9. 13 indexed citations
8.
Kunert, Renate & David Reinhart. (2016). Advances in recombinant antibody manufacturing. Applied Microbiology and Biotechnology. 100(8). 3451–3461. 298 indexed citations
9.
10.
Mayrhofer, Patrick, et al.. (2015). Identification of bottlenecks in antibody expression using targeted gene integration. BMC Proceedings. 9(S9). 1 indexed citations
11.
Reinhart, David, et al.. (2015). Benchmarking of commercially available CHO cell culture media for antibody production. Applied Microbiology and Biotechnology. 99(11). 4645–4657. 108 indexed citations
12.
Reinhart, David, et al.. (2014). In search of expression bottlenecks in recombinant CHO cell lines—a case study. Applied Microbiology and Biotechnology. 98(13). 5959–5965. 22 indexed citations
13.
Mayrhofer, Patrick, Bernhard Kratzer, Wolfgang Sommeregger, et al.. (2014). Accurate comparison of antibody expression levels by reproducible transgene targeting in engineered recombination-competent CHO cells. Applied Microbiology and Biotechnology. 98(23). 9723–9733. 13 indexed citations
14.
Reinhart, David & Renate Kunert. (2014). Upstream and downstream processing of recombinant IgA. Biotechnology Letters. 37(2). 241–251. 15 indexed citations
15.
Sullivan, Peter M., et al.. (2014). Using lean methodology to improve productivity in a hospital oncology pharmacy. American Journal of Health-System Pharmacy. 71(17). 1491–1498. 30 indexed citations
16.
Sommeregger, Wolfgang, et al.. (2013). Transgene copy number comparison in recombinant mammalian cell lines: critical reflection of quantitative real-time PCR evaluation. Cytotechnology. 65(5). 811–818. 12 indexed citations
17.
Reinhart, David, et al.. (2013). Benchmarking of commercially available CHO cell culture media for antibody production. BMC Proceedings. 7(S6). 4 indexed citations
18.
Reinhart, David, et al.. (2013). Characterization of recombinant IgA producing CHO cell lines by qPCR. BMC Proceedings. 7(S6). 5 indexed citations
19.
Reinhart, David, Robert Weik, & Renate Kunert. (2012). Recombinant IgA production: Single step affinity purification using camelid ligands and product characterization. Journal of Immunological Methods. 378(1-2). 95–101. 26 indexed citations
20.
Ruffin, Nicolas, Zelda Euler, Fabio Fiorino, et al.. (2012). Rational design of HIV vaccines and microbicides: report of the EUROPRISE annual conference 2011. Journal of Translational Medicine. 10(1). 5 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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