Fabian Käsermann

1.6k total citations
38 papers, 1.2k citations indexed

About

Fabian Käsermann is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hematology. According to data from OpenAlex, Fabian Käsermann has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 17 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Hematology. Recurrent topics in Fabian Käsermann's work include Monoclonal and Polyclonal Antibodies Research (16 papers), Immunodeficiency and Autoimmune Disorders (10 papers) and Immune Cell Function and Interaction (9 papers). Fabian Käsermann is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), Immunodeficiency and Autoimmune Disorders (10 papers) and Immune Cell Function and Interaction (9 papers). Fabian Käsermann collaborates with scholars based in Switzerland, Canada and Australia. Fabian Käsermann's co-authors include Christoph Kempf, Sylvia Miescher, Adrian W. Zuercher, Rolf Spirig, Adriana Baz Morelli, Donald R. Branch, Danila Leontyev, Tony Rowe, Yulia Katsman and Xue‐Zhong Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature reviews. Immunology and The Journal of Immunology.

In The Last Decade

Fabian Käsermann

36 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
Fabian Käsermann Switzerland 18 504 395 345 229 108 38 1.2k
Kine Marita Knudsen Sand Norway 12 279 0.6× 510 1.3× 558 1.6× 111 0.5× 50 0.5× 17 1.1k
Jonathan P. Hannan United Kingdom 19 879 1.7× 211 0.5× 326 0.9× 282 1.2× 78 0.7× 44 1.4k
Novalia Pishesha United States 19 699 1.4× 289 0.7× 803 2.3× 65 0.3× 65 0.6× 32 1.8k
George K. Papadopoulos Greece 25 1.1k 2.1× 324 0.8× 376 1.1× 89 0.4× 43 0.4× 87 2.7k
Christian H.K. Lehmann Germany 23 975 1.9× 162 0.4× 484 1.4× 102 0.4× 69 0.6× 52 1.5k
Christian M. Capitini United States 23 702 1.4× 115 0.3× 530 1.5× 182 0.8× 25 0.2× 87 1.7k
Jen‐Chieh Tseng United States 18 184 0.4× 88 0.2× 1.0k 2.9× 169 0.7× 92 0.9× 35 1.6k
Karen R. Snapp United States 22 670 1.3× 146 0.4× 487 1.4× 343 1.5× 69 0.6× 29 1.7k
Liliane Fossati‐Jimack United Kingdom 27 1.6k 3.1× 365 0.9× 448 1.3× 260 1.1× 70 0.6× 65 2.1k
Xue‐Zhong Ma Canada 17 398 0.8× 89 0.2× 399 1.2× 78 0.3× 149 1.4× 28 1.1k

Countries citing papers authored by Fabian Käsermann

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Käsermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Käsermann

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Käsermann. A scholar is included among the top collaborators of Fabian Käsermann 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 Fabian Käsermann. Fabian Käsermann 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.
Alzaïd, Fawaz, Anupama Karnam, Srinivasa Reddy Bonam, et al.. (2025). Regulation of immune cell metabolism by therapeutic normal IgG intravenous immunoglobulin. Journal of Allergy and Clinical Immunology. 156(2). 418–432.
2.
Almizraq, Ruqayyah J., Kayluz Frias Boligan, Bonnie J.B. Lewis, et al.. (2023). Modulation of Neutrophil Function by Recombinant Human IgG1 Fc Hexamer in the Endogenous K/BxN Mouse Model of Rheumatoid Arthritis. Pharmacology. 108(2). 176–187. 3 indexed citations
3.
Willis, Emily F., Ellen R. Gillespie, Adrian W. Zuercher, et al.. (2022). Intravenous immunoglobulin (IVIG) promotes brain repair and improves cognitive outcomes after traumatic brain injury in a FcγRIIB receptor-dependent manner. Brain Behavior and Immunity. 109. 37–50. 3 indexed citations
4.
Käsermann, Fabian, et al.. (2021). High Dose Intravenous IgG Therapy Modulates Multiple NK Cell and T Cell Functions in Patients With Immune Dysregulation. Frontiers in Immunology. 12. 660506–660506. 15 indexed citations
5.
Karnam, Anupama, Mrinmoy Das, Sandrine Delignat, et al.. (2020). Therapeutic normal IgG intravenous immunoglobulin activates Wnt-β-catenin pathway in dendritic cells. Communications Biology. 3(1). 96–96. 12 indexed citations
6.
Crow, Andrew R., Rick Kapur, Sandra Koernig, et al.. (2019). Treating murine inflammatory diseases with an anti-erythrocyte antibody. Science Translational Medicine. 11(506). 17 indexed citations
7.
Vonarburg, Cédric, M. Spycher, Sharon L. Salmon, et al.. (2019). Topical application of nebulized human IgG, IgA and IgAM in the lungs of rats and non-human primates. Respiratory Research. 20(1). 99–99. 37 indexed citations
8.
Koernig, Sandra, Ian K. Campbell, Charley Mackenzie-Kludas, et al.. (2019). Topical application of human-derived Ig isotypes for the control of acute respiratory infection evaluated in a human CD89-expressing mouse model. Mucosal Immunology. 12(4). 1013–1024. 10 indexed citations
9.
Zuercher, Adrian W., Rolf Spirig, Adriana Baz Morelli, Tony Rowe, & Fabian Käsermann. (2019). Next-generation Fc receptor–targeting biologics for autoimmune diseases. Autoimmunity Reviews. 18(10). 102366–102366. 127 indexed citations
10.
11.
Schneider, Christoph, Christian W. Keller, Isaak Quast, et al.. (2017). IVIG regulates the survival of human but not mouse neutrophils. Scientific Reports. 7(1). 1296–1296. 28 indexed citations
12.
13.
Issekutz, Andrew C., et al.. (2015). Potentiation of cytokine-induced proliferation of human Natural Killer cells by intravenous immunoglobulin G. Clinical Immunology. 161(2). 373–383. 6 indexed citations
14.
Gunten, Stephan von, Yehuda Shoenfeld, Miri Blank, et al.. (2014). IVIG pluripotency and the concept of Fc-sialylation: challenges to the scientist. Nature reviews. Immunology. 14(5). 349–349. 54 indexed citations
15.
Miescher, Sylvia & Fabian Käsermann. (2013). The future of immunoglobulin therapy: An overview of the 2nd international workshop on natural antibodies in health and disease. Autoimmunity Reviews. 12(6). 639–642. 14 indexed citations
16.
Leontyev, Danila, Yulia Katsman, Xue‐Zhong Ma, et al.. (2012). Sialylation‐independent mechanism involved in the amelioration of murine immune thrombocytopenia using intravenous gammaglobulin. Transfusion. 52(8). 1799–1805. 101 indexed citations
17.
Käsermann, Fabian, Katja Wyss, & Christoph Kempf. (2001). Virus inactivation and protein modifications by ethyleneimines. Antiviral Research. 52(1). 33–41. 13 indexed citations
18.
Käsermann, Fabian & Christoph Kempf. (1997). Photodynamic inactivation of enveloped viruses by buckminsterfullerene1For the described inactivation procedure, a patent application was submitted.1. Antiviral Research. 34(1). 65–70. 98 indexed citations
19.
Käsermann, Fabian & C. Kempf. (1996). Low pH-induced pore formation by spike proteins of enveloped viruses. Journal of General Virology. 77(12). 3025–3032. 16 indexed citations
20.
Käsermann, Fabian, et al.. (1995). Identification of the pore forming element of Semliki Forest virus spikes. FEBS Letters. 375(1-2). 134–136. 24 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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