Gregor Jordan

639 total citations
28 papers, 184 citations indexed

About

Gregor Jordan is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gregor Jordan has authored 28 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 19 papers in Molecular Biology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gregor Jordan's work include Biosimilars and Bioanalytical Methods (20 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Protein purification and stability (12 papers). Gregor Jordan is often cited by papers focused on Biosimilars and Bioanalytical Methods (20 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Protein purification and stability (12 papers). Gregor Jordan collaborates with scholars based in Germany, Switzerland and United States. Gregor Jordan's co-authors include Roland F. Staack, Julia Heinrich, Gerhard Winter, Martin E. Schwab, Eckhard Wolf, Barbara Keßler, W. Richter, Eric A. Kusznir, Philippe Ringler and Kay‐Gunnar Stubenrauch and has published in prestigious journals such as Blood, Analytical Chemistry and Pharmaceutical Research.

In The Last Decade

Gregor Jordan

24 papers receiving 176 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregor Jordan Germany 9 117 114 80 23 16 28 184
Jihea Park United States 4 33 0.3× 114 1.0× 73 0.9× 30 1.3× 8 0.5× 5 155
Nels Thorsteinson United States 9 66 0.6× 245 2.1× 205 2.6× 18 0.8× 21 1.3× 12 325
Michelle Schweiger United States 8 34 0.3× 72 0.6× 77 1.0× 27 1.2× 48 3.0× 14 196
Kay‐Gunnar Stubenrauch Germany 10 87 0.7× 107 0.9× 79 1.0× 28 1.2× 58 3.6× 19 235
Abdul Basmeleh Netherlands 2 97 0.8× 132 1.2× 87 1.1× 25 1.1× 12 0.8× 2 205
Chuncui Huang China 11 81 0.7× 222 1.9× 88 1.1× 12 0.5× 14 0.9× 24 305
Matthias Borowiak Germany 4 42 0.4× 208 1.8× 57 0.7× 36 1.6× 4 0.3× 4 229
Andrew Nichols United States 7 29 0.2× 285 2.5× 178 2.2× 32 1.4× 12 0.8× 9 341
Jonathan R. Fitchett United States 11 126 1.1× 204 1.8× 167 2.1× 66 2.9× 75 4.7× 15 406
I. W. Reiniger Germany 9 18 0.2× 65 0.6× 250 3.1× 7 0.3× 21 1.3× 12 375

Countries citing papers authored by Gregor Jordan

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Jordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Jordan

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Jordan. A scholar is included among the top collaborators of Gregor Jordan 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 Gregor Jordan. Gregor Jordan 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.
Jordan, Gregor & Roland F. Staack. (2026). Advancing Quantitative ADA Detection Through Model Informed Assay Development (MIAD). The AAPS Journal. 28(2). 54–54.
2.
Hughes, Richard, Gregor Jordan, Arnout F. Gerritsen, et al.. (2025). Use of surrogate matrices in bioanalytical preclinical safety testing using immunoassay methods: a recommendation from the European Bioanalysis Forum. Bioanalysis. 17(14). 893–898.
6.
Barfield, Matthew, Peter Blattmann, Benno Ingelse, et al.. (2023). Immunocapture LC–MS(/MS) Assays for Biotherapeutic and Biomarker Proteins: The European Bioanalysis Forum Continuing Discussions on Scientific and Regulatory Challenges. Bioanalysis. 15(9). 477–480. 2 indexed citations
7.
Emrich, Thomas, et al.. (2022). Comparison of Assay Formats Used for the Detection of Pre-Existing Anti-Drug Antibodies Against Monoclonal Antibodies. Bioanalysis. 14(13). 923–933. 1 indexed citations
8.
Jordan, Gregor & Roland F. Staack. (2021). An Alternative Data Transformation Approach for ADA Cut Point Determination: Why Not Use a Weibull Transformation?. The AAPS Journal. 23(5). 97–97. 1 indexed citations
10.
Jordan, Gregor & Roland F. Staack. (2020). Toward Comparability of Anti-Drug Antibody Assays: Is the Amount of Anti-Drug Antibody–Reagent Complexes at Cut-Point (CP-ARC) the Missing Piece?. Bioanalysis. 12(14). 1021–1031. 11 indexed citations
11.
Jordan, Gregor, et al.. (2020). High Ionic Strength Dissociation Assay (HISDA) for High Drug Tolerant Immunogenicity Testing. Bioanalysis. 12(12). 857–866. 8 indexed citations
12.
Sostelly, Alexandre, Antoine Soubret, Christoph Bucher, et al.. (2019). Characterizing C5 Inhibition with the SMART-Ig Anti-hC5 Antibody Crovalimab in PNH Patients Using Free Available Paratopes. Blood. 134(Supplement_1). 1227–1227. 2 indexed citations
13.
Jordan, Gregor, Matthias E. Lauer, Philippe Ringler, et al.. (2019). Generation, Characterization, and Quantitative Bioanalysis of Drug/Anti-drug Antibody Immune Complexes to Facilitate Dedicated In Vivo Studies. Pharmaceutical Research. 36(9). 129–129. 15 indexed citations
14.
Sostelly, Alexandre, Antoine Soubret, Barbara Klughammer, et al.. (2019). Exposure-Response Relationship of the SMART-Ig Anti-hC5 Antibody Crovalimab (SKY59): Results from the Umbrella Phase 1/2 Composer Trial in Healthy Volunteers and PNH Patients. Blood. 134(Supplement_1). 3745–3745. 4 indexed citations
15.
Zell, M., Christophe Husser, Roland F. Staack, et al.. (2016). In Vivo Biotransformation of the Fusion Protein Tetranectin-Apolipoprotein A1 Analyzed by Ligand-Binding Mass Spectrometry Combined with Quantitation by ELISA. Analytical Chemistry. 88(23). 11670–11677. 15 indexed citations
16.
Staack, Roland F., W. Richter, Michael Winter, et al.. (2016). Immunogenicity, Inflammation, and Lipid Accumulation in Cynomolgus Monkeys Infused with a Lipidated Tetranectin-ApoA-I Fusion Protein. Toxicological Sciences. 150(2). 378–389. 7 indexed citations
17.
Staack, Roland F., et al.. (2015). Quantification of A Bifunctional Drug in The Presence of an Immune Response: A Ligand-Binding Assay Specific for ‘Active’ Drug. Bioanalysis. 7(24). 3097–3106. 8 indexed citations
18.
Staack, Roland F., et al.. (2013). Free Analyte Qc Concept: A Novel Approach to Prove Correct Quantification of Free Therapeutic Protein Drug/Biomarker Concentrations. Bioanalysis. 6(4). 485–496. 15 indexed citations
19.
Staack, Roland F., Gregor Jordan, & Julia Heinrich. (2012). Mathematical Simulations For Bioanalytical Assay Development: The (Un-)Necessity And (Im-)Possibility of Free Drug Quantification. Bioanalysis. 4(4). 381–395. 16 indexed citations
20.
Schwab, Martin E., et al.. (2008). Correlation of in vivo and in vitro release data for rh-INFα lipid implants. European Journal of Pharmaceutics and Biopharmaceutics. 70(2). 690–694. 25 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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