Kurt Forrer

544 total citations
8 papers, 417 citations indexed

About

Kurt Forrer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Kurt Forrer has authored 8 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Spectroscopy. Recurrent topics in Kurt Forrer's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (6 papers) and Glycosylation and Glycoproteins Research (3 papers). Kurt Forrer is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (6 papers) and Glycosylation and Glycoproteins Research (3 papers). Kurt Forrer collaborates with scholars based in Switzerland and United States. Kurt Forrer's co-authors include Bernhard Helk, Vladimir Voynov, Bernhardt L. Trout, Naresh Chennamsetty, Veysel Kayser, Peter Schumacher, Kurt Bill, Hui Zhao, Holger Heine and Cornelius Fritsch and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Journal of Pharmaceutical Sciences.

In The Last Decade

Kurt Forrer

8 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kurt Forrer Switzerland	8	352	282	57	52	42	8	417
Difei Qiu United States	13	432 1.2×	294 1.0×	67 1.2×	64 1.2×	24 0.6×	18	506
Santosh V. Thakkar United States	11	351 1.0×	202 0.7×	51 0.9×	30 0.6×	18 0.4×	16	442
Douglas D. Banks United States	10	505 1.4×	250 0.9×	34 0.6×	42 0.8×	38 0.9×	18	565
Pavlo Pristatsky United States	9	479 1.4×	385 1.4×	28 0.5×	83 1.6×	32 0.8×	9	584
Kelly K. Arthur United States	11	291 0.8×	133 0.5×	52 0.9×	41 0.8×	19 0.5×	13	366
Andrew A. Kosky United States	8	277 0.8×	141 0.5×	40 0.7×	27 0.5×	17 0.4×	8	338
Hristo L. Svilenov Germany	14	327 0.9×	203 0.7×	45 0.8×	56 1.1×	23 0.5×	31	401
Christof Finkler Switzerland	11	363 1.0×	201 0.7×	149 2.6×	72 1.4×	13 0.3×	16	451
Inn H. Yuk United States	16	788 2.2×	280 1.0×	132 2.3×	49 0.9×	57 1.4×	30	875
Cesar Calero‐Rubio United States	12	480 1.4×	349 1.2×	112 2.0×	48 0.9×	20 0.5×	17	550

Countries citing papers authored by Kurt Forrer

Since Specialization

Citations

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

Fields of papers citing papers by Kurt Forrer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kurt Forrer

This figure shows the co-authorship network connecting the top 25 collaborators of Kurt Forrer. A scholar is included among the top collaborators of Kurt Forrer 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 Kurt Forrer. Kurt Forrer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Kayser, Veysel, Naresh Chennamsetty, Vladimir Voynov, et al.. (2011). A screening tool for therapeutic monoclonal antibodies: Identifying the most stable protein and its best formulation based on thioflavin T binding. Biotechnology Journal. 7(1). 127–132. 10 indexed citations

Kayser, Veysel, Naresh Chennamsetty, Vladimir Voynov, et al.. (2011). Evaluation of a Non-Arrhenius Model for Therapeutic Monoclonal Antibody Aggregation. Journal of Pharmaceutical Sciences. 100(7). 2526–2542. 86 indexed citations

Kayser, Veysel, Naresh Chennamsetty, Vladimir Voynov, et al.. (2010). Glycosylation influences on the aggregation propensity of therapeutic monoclonal antibodies. Biotechnology Journal. 6(1). 38–44. 130 indexed citations

Zhao, Hui, et al.. (2009). Formulation Development of Antibodies Using Robotic System and High-Throughput Laboratory (HTL). Journal of Pharmaceutical Sciences. 99(5). 2279–2294. 37 indexed citations

Voynov, Vladimir, Naresh Chennamsetty, Veysel Kayser, et al.. (2009). Dynamic Fluctuations of Protein-Carbohydrate Interactions Promote Protein Aggregation. PLoS ONE. 4(12). e8425–e8425. 37 indexed citations

Ricker, Robert D., et al.. (2008). Options for Rapid Analysis of Peptides and Proteins, Using Wide-Pore, Superficially Porous, High-Performance Liquid Chromatography Particles with Unique Bonded-Phase Ligands. Journal of Chromatographic Science. 46(3). 261–268. 17 indexed citations

Bill, Kurt, et al.. (2007). Effect of constant and variable domain glycosylation on pharmacokinetics of therapeutic antibodies in mice. Biologicals. 36(1). 41–47. 71 indexed citations

Forrer, Kurt, et al.. (2004). Chip-based gel electrophoresis method for the quantification of half-antibody species in IgG4 and their by- and degradation products. Analytical Biochemistry. 334(1). 81–88. 29 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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