Suzanne Hermeling

1.4k total citations
8 papers, 1.1k citations indexed

About

Suzanne Hermeling is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Suzanne Hermeling has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Suzanne Hermeling's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Protein purification and stability (3 papers). Suzanne Hermeling is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Protein purification and stability (3 papers). Suzanne Hermeling collaborates with scholars based in Netherlands, United States and Italy. Suzanne Hermeling's co-authors include Wim Jiskoot, Huub Schellekens, Daan J.A. Crommelin, Martijn F.B.G. Gebbink, Coen Maas, Barend Bouma, J Damen, Monique Slijper, Miranda M. C. van Beers and Francesca Gilli and has published in prestigious journals such as Journal of Biological Chemistry, Pharmaceutical Research and Journal of Pharmaceutical Sciences.

In The Last Decade

Suzanne Hermeling

8 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne Hermeling Netherlands 8 783 567 335 98 86 8 1.1k
Kine Marita Knudsen Sand Norway 12 558 0.7× 510 0.9× 279 0.8× 40 0.4× 133 1.5× 17 1.1k
Koon Y. Pak United States 22 594 0.8× 501 0.9× 215 0.6× 45 0.5× 182 2.1× 77 1.3k
Martin Schlapschy Germany 17 651 0.8× 364 0.6× 225 0.7× 66 0.7× 178 2.1× 31 1.0k
Jason Cameron Denmark 16 747 1.0× 571 1.0× 135 0.4× 35 0.4× 188 2.2× 18 1.1k
Jeannette Nilsen Norway 12 447 0.6× 350 0.6× 130 0.4× 27 0.3× 122 1.4× 18 819
Susan Kirshner United States 15 765 1.0× 616 1.1× 700 2.1× 57 0.6× 364 4.2× 23 1.6k
Malin Bern Norway 10 458 0.6× 377 0.7× 166 0.5× 26 0.3× 101 1.2× 12 776
Sathy V. Balu‐Iyer United States 24 1.1k 1.4× 432 0.8× 682 2.0× 140 1.4× 291 3.4× 64 2.0k
Shauna West United Kingdom 15 526 0.7× 289 0.5× 168 0.5× 43 0.4× 102 1.2× 20 849
Algirdas Grevys Norway 14 412 0.5× 324 0.6× 181 0.5× 20 0.2× 50 0.6× 16 688

Countries citing papers authored by Suzanne Hermeling

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Hermeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Hermeling

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

All Works

8 of 8 papers shown
1.
Beers, Miranda M. C. van, Melody Sauerborn, Francesca Gilli, et al.. (2009). Hybrid transgenic immune tolerant mouse model for assessing the breaking of B cell tolerance by human interferon beta. Journal of Immunological Methods. 352(1-2). 32–37. 30 indexed citations
2.
3.
Maas, Coen, Suzanne Hermeling, Barend Bouma, Wim Jiskoot, & Martijn F.B.G. Gebbink. (2006). A Role for Protein Misfolding in Immunogenicity of Biopharmaceuticals. Journal of Biological Chemistry. 282(4). 2229–2236. 125 indexed citations
4.
Hermeling, Suzanne, Huub Schellekens, Coen Maas, et al.. (2006). Antibody Response to Aggregated Human Interferon Alpha2b in Wild-type and Transgenic Immune Tolerant Mice Depends on Type and Level of Aggregation. Journal of Pharmaceutical Sciences. 95(5). 1084–1096. 152 indexed citations
5.
Hermeling, Suzanne, J Damen, Monique Slijper, et al.. (2005). Structural Characterization and Immunogenicity in Wild-Type and Immune Tolerant Mice of Degraded Recombinant Human Interferon Alpha2b. Pharmaceutical Research. 22(12). 1997–2006. 117 indexed citations
6.
Hermeling, Suzanne, et al.. (2005). Development of a Transgenic Mouse Model Immune Tolerant for Human Interferon Beta. Pharmaceutical Research. 22(6). 847–851. 52 indexed citations
7.
Hermeling, Suzanne, Daan J.A. Crommelin, Huub Schellekens, & Wim Jiskoot. (2004). Structure-Immunogenicity Relationships of Therapeutic Proteins. Pharmaceutical Research. 21(6). 897–903. 486 indexed citations
8.
Hermeling, Suzanne, Huub Schellekens, Daan J.A. Crommelin, & Wim Jiskoot. (2003). Micelle-Associated Protein in Epoetin Formulations: A Risk Factor for Immunogenicity?. Pharmaceutical Research. 20(12). 1903–1907. 100 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026