Eginhard Schick

835 total citations
26 papers, 490 citations indexed

About

Eginhard Schick is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eginhard Schick has authored 26 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Immunology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eginhard Schick's work include Monoclonal and Polyclonal Antibodies Research (11 papers), Biosimilars and Bioanalytical Methods (10 papers) and Ion Transport and Channel Regulation (3 papers). Eginhard Schick is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (11 papers), Biosimilars and Bioanalytical Methods (10 papers) and Ion Transport and Channel Regulation (3 papers). Eginhard Schick collaborates with scholars based in Switzerland, Germany and United States. Eginhard Schick's co-authors include Michael Pawlak, Markus Ehrat, Peter Oroszlán, Michael J. Schneider, Martin Bopp, Matthias Horn, Peter Botschwina, E. Grell, Peter Sebald and Renée Benghozi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and Blood.

In The Last Decade

Eginhard Schick

26 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eginhard Schick Switzerland 12 287 132 91 87 61 26 490
Antonietta Bartoli Italy 13 241 0.8× 244 1.8× 57 0.6× 76 0.9× 43 0.7× 34 832
Lionel Mignion Belgium 14 286 1.0× 168 1.3× 60 0.7× 102 1.2× 45 0.7× 34 706
Rodney L. Sparks United States 13 361 1.3× 87 0.7× 45 0.5× 48 0.6× 42 0.7× 19 714
Moran Grossman Israel 13 427 1.5× 42 0.3× 100 1.1× 71 0.8× 50 0.8× 18 822
Judy Yan Canada 16 566 2.0× 58 0.4× 56 0.6× 124 1.4× 37 0.6× 26 933
Gregory E. Arnold United States 16 332 1.2× 109 0.8× 235 2.6× 29 0.3× 45 0.7× 24 750
Duncan C. MacLaren United States 13 819 2.9× 325 2.5× 39 0.4× 103 1.2× 48 0.8× 16 1.5k
Shun Kishimoto United States 18 157 0.5× 290 2.2× 39 0.4× 125 1.4× 158 2.6× 53 805
Nobu Oshima Japan 11 243 0.8× 91 0.7× 29 0.3× 43 0.5× 71 1.2× 30 506
Cornelia Matei United States 18 233 0.8× 347 2.6× 70 0.8× 54 0.6× 55 0.9× 25 852

Countries citing papers authored by Eginhard Schick

Since Specialization
Citations

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

Fields of papers citing papers by Eginhard Schick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eginhard Schick

This figure shows the co-authorship network connecting the top 25 collaborators of Eginhard Schick. A scholar is included among the top collaborators of Eginhard Schick 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 Eginhard Schick. Eginhard Schick 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.
Lotz, Gregor P., Meret Martin‐Facklam, Eginhard Schick, et al.. (2024). Characterization of anti-drug antibody responses to the T-cell engaging bispecific antibody cibisatamab to understand the impact on exposure. Frontiers in Immunology. 15. 1406353–1406353. 1 indexed citations
2.
Manchester, Marianne, et al.. (2023). Quantifying mutant huntingtin protein in human cerebrospinal fluid to support the development of huntingtin-lowering therapies. Scientific Reports. 13(1). 5332–5332. 4 indexed citations
3.
Engel, Alfred M., et al.. (2021). Assay Concept for Detecting Anti-Drug IgM in Human Serum Samples by using a Novel Recombinant Human IgM Positive Control. Bioanalysis. 13(4). 253–263. 4 indexed citations
4.
Frances, Nicolas, Marina Bacac, Katharine Bray‐French, et al.. (2021). Novel in Vivo and in Vitro Pharmacokinetic/Pharmacodynamic-Based Human Starting Dose Selection for Glofitamab. Journal of Pharmaceutical Sciences. 111(4). 1208–1218. 18 indexed citations
5.
6.
Grimm, Hans Peter, Eginhard Schick, Dominik Hainzl, et al.. (2019). PKPD Assessment of the Anti-CD20 Antibody Obinutuzumab in Cynomolgus Monkey is Feasible Despite Marked Anti-Drug Antibody Response in This Species. Journal of Pharmaceutical Sciences. 108(11). 3729–3736. 3 indexed citations
7.
Kletzl, Heidemarie, Andreas Guenther, Jan Frystyk, et al.. (2017). First-in-man study with a novel PEGylated recombinant human insulin-like growth factor-I. Growth Hormone & IGF Research. 33. 9–16. 5 indexed citations
8.
Wang, Ka, Tilman Schlothauer, Angelika Lahr, et al.. (2017). An apparent clinical pharmacokinetic drug–drug interaction between bevacizumab and the anti-placental growth factor monoclonal antibody RO5323441 via a target-trapping mechanism. Cancer Chemotherapy and Pharmacology. 79(4). 661–671. 8 indexed citations
9.
Kuhlmann, Olaf, et al.. (2017). Hypersensitivity Reactions to Obinutuzumab in Cynomolgus Monkeys and Relevance to Humans. Toxicologic Pathology. 45(5). 676–686. 13 indexed citations
10.
Stubenrauch, Kay, et al.. (2015). Epitope characterization of the ADA response directed against a targeted immunocytokine. Journal of Pharmaceutical and Biomedical Analysis. 114. 296–304. 14 indexed citations
11.
Schmitt, Christophe, Markus Abt, Dorothée Kling, et al.. (2015). First-in-man Study With Inclacumab, a Human Monoclonal Antibody Against P-selectin. Journal of Cardiovascular Pharmacology. 65(6). 611–619. 43 indexed citations
12.
Bessa, Juliana, et al.. (2015). Neonatal Immune Tolerance Induction to Allow Long-Term Studies With an Immunogenic Therapeutic Monoclonal Antibody in Mice. The AAPS Journal. 18(2). 354–361. 8 indexed citations
13.
14.
Metzger, Friedrich, Waseem Sajid, Chris van der Poel, et al.. (2011). Separation of Fast from Slow Anabolism by Site-specific PEGylation of Insulin-like Growth Factor I (IGF-I). Journal of Biological Chemistry. 286(22). 19501–19510. 39 indexed citations
15.
Schick, Eginhard, et al.. (2003). Calorimetry of Na,K‐ATPase. Annals of the New York Academy of Sciences. 986(1). 245–246. 8 indexed citations
16.
Pawlak, Michael, Eginhard Schick, Martin Bopp, et al.. (2002). Zeptosens' protein microarrays: A novel high performance microarray platform for low abundance protein analysis. PROTEOMICS. 2(4). 383–383. 180 indexed citations
17.
18.
Botschwina, Peter, et al.. (1997). Hydrogen cyanide: theory and experiment. Journal of Molecular Structure THEOCHEM. 400. 119–137. 31 indexed citations
19.
Schick, Eginhard, et al.. (1996). Conformational changes of Na,K-ATPase probed with eosin Y. Journal of Fluorescence. 6(3). 165–168. 4 indexed citations
20.
Botschwina, Peter, Eginhard Schick, & Matthias Horn. (1993). The barrier to dissociation in the B 2A1′ state of the methyl radical. The Journal of Chemical Physics. 98(11). 9215–9217. 18 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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