Simon Friedensohn

949 total citations
11 papers, 526 citations indexed

About

Simon Friedensohn is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Simon Friedensohn has authored 11 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Simon Friedensohn's work include T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immune Cell Function and Interaction (4 papers). Simon Friedensohn is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immune Cell Function and Interaction (4 papers). Simon Friedensohn collaborates with scholars based in Switzerland, United States and Germany. Simon Friedensohn's co-authors include Sai T. Reddy, Tarik A. Khan, Derek M. Mason, Simon M. Meng, Bruno E. Correia, Pablo Gaínza, Roy A. Ehling, Lucia Bonati, Christian Jordi and Hans‐Joachim Ruscheweyh and has published in prestigious journals such as PLoS ONE, PLoS Biology and Science Advances.

In The Last Decade

Simon Friedensohn

11 papers receiving 513 citations

Peers

Simon Friedensohn

RNMI

IMMUN

ONCOL

Jeff Lutman United States

Esther M. Yoo United States

Rahel Frick United States

Stephen G. McCarthy United States

K. R. Abhinandan India

Michael Kubitz United States

Aleksandr Kovaltsuk United Kingdom

Chunning Yang United States

Benedikte Serruys Belgium

Christine Bee United States

Jeff Lutman United States

Simon Friedensohn

362 ×1.1

373 ×1.4

RNMI

213 ×0.8

IMMUN

50 ×0.8

ONCOL

26 ×0.6

Citations per year, relative to Simon Friedensohn Simon Friedensohn (= 1×) peers Jeff Lutman

Countries citing papers authored by Simon Friedensohn

Since Specialization

Citations

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

Fields of papers citing papers by Simon Friedensohn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Friedensohn

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

All Works

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11 of 11 papers shown

Hoehn, Kenneth B., Daniel Neumeier, Joseph M. Taft, et al.. (2024). The physiological landscape and specificity of antibody repertoires are consolidated by multiple immunizations. eLife. 13. 1 indexed citations

Mason, Derek M., Simon Friedensohn, Cédric R. Weber, et al.. (2021). Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning. Nature Biomedical Engineering. 5(6). 600–612. 174 indexed citations

Ehling, Roy A., Cédric R. Weber, Derek M. Mason, et al.. (2021). SARS-CoV-2 reactive and neutralizing antibodies discovered by single-cell sequencing of plasma cells and mammalian display. Cell Reports. 38(3). 110242–110242. 14 indexed citations

Sesterhenn, Fabian, Marie Galloux, Sabrina S. Vollers, et al.. (2019). Boosting subdominant neutralizing antibody responses with a computationally designed epitope-focused immunogen. PLoS Biology. 17(2). e3000164–e3000164. 24 indexed citations

Neumeier, Daniel, et al.. (2019). Antibody discovery and engineering by enhanced CRISPR-Cas9 integration of variable gene cassette libraries in mammalian cells. mAbs. 11(8). 1367–1380. 22 indexed citations

Friedensohn, Simon, Enkelejda Miho, Andreas Zingg, et al.. (2018). Synthetic Standards Combined With Error and Bias Correction Improve the Accuracy and Quantitative Resolution of Antibody Repertoire Sequencing in Human Naïve and Memory B Cells. Frontiers in Immunology. 9. 1401–1401. 23 indexed citations

Khan, Tarik A., et al.. (2016). Accurate and predictive antibody repertoire profiling by molecular amplification fingerprinting. Science Advances. 2(3). e1501371–e1501371. 87 indexed citations

Friedensohn, Simon, Tarik A. Khan, & Sai T. Reddy. (2016). Advanced Methodologies in High-Throughput Sequencing of Immune Repertoires. Trends in biotechnology. 35(3). 203–214. 86 indexed citations

Friedensohn, Simon & Ritwick Sawarkar. (2014). Cis-regulatory variation: significance in biomedicine and evolution. Cell and Tissue Research. 356(3). 495–505. 5 indexed citations

10.

Greiff, Victor, Ulrike Menzel, Ulrike Haessler, et al.. (2014). Quantitative assessment of the robustness of next-generation sequencing of antibody variable gene repertoires from immunized mice. BMC Immunology. 15(1). 40–40. 51 indexed citations

11.

Menzel, Ulrike, Victor Greiff, Tarik A. Khan, et al.. (2014). Comprehensive Evaluation and Optimization of Amplicon Library Preparation Methods for High-Throughput Antibody Sequencing. PLoS ONE. 9(5). e96727–e96727. 39 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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