Suzanne Fischer

4.2k total citations · 1 hit paper
23 papers, 1.9k citations indexed

About

Suzanne Fischer is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Suzanne Fischer has authored 23 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Suzanne Fischer's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and CAR-T cell therapy research (4 papers). Suzanne Fischer is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and CAR-T cell therapy research (4 papers). Suzanne Fischer collaborates with scholars based in United States, Belgium and United Kingdom. Suzanne Fischer's co-authors include K. Christopher García, Kevin H. Wang, Lauren K. Ely, Isabelle Baconguis, Jennifer Carlisle Michel, Derek P. Claxton, April Goehring, Eric Gouaux, Thorsten Althoff and Aaron M. Ring and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Suzanne Fischer

21 papers receiving 1.9k citations

Hit Papers

Screening and large-scale expression of membrane proteins... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne Fischer United States 14 965 827 539 192 165 23 1.9k
Kristoffer Riecken Germany 27 995 1.0× 563 0.7× 560 1.0× 164 0.9× 113 0.7× 85 2.4k
Janelle Waite United States 12 441 0.5× 1.1k 1.3× 369 0.7× 121 0.6× 108 0.7× 16 1.7k
S Krajewski United States 20 1.9k 1.9× 394 0.5× 773 1.4× 230 1.2× 92 0.6× 21 2.8k
Thomas J. O’Neill United States 23 1.4k 1.5× 407 0.5× 345 0.6× 131 0.7× 111 0.7× 54 2.0k
Yann Percherancier France 17 1.1k 1.1× 368 0.4× 331 0.6× 391 2.0× 151 0.9× 34 1.6k
Denis Banville Canada 25 1.5k 1.6× 563 0.7× 420 0.8× 267 1.4× 101 0.6× 37 2.4k
Andreas Marquardt Germany 21 1.6k 1.6× 633 0.8× 215 0.4× 224 1.2× 300 1.8× 38 2.6k
Michael J. Orsini United States 17 1.0k 1.1× 552 0.7× 520 1.0× 358 1.9× 87 0.5× 27 1.9k
Douglas A. Carlow Canada 22 547 0.6× 1.1k 1.3× 395 0.7× 64 0.3× 122 0.7× 36 1.9k
Joseph P. Gardner United States 6 1.2k 1.2× 616 0.7× 483 0.9× 218 1.1× 123 0.7× 8 2.1k

Countries citing papers authored by Suzanne Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Fischer. A scholar is included among the top collaborators of Suzanne Fischer 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 Fischer. Suzanne Fischer 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.
Dai, Yile, Jillian R. Jaycox, Joseph N. Cunningham, et al.. (2025). Humoral determinants of checkpoint immunotherapy. Nature. 644(8076). 527–536. 3 indexed citations
2.
Pinheiro, Cláudio, Lien Lippens, Suzanne Fischer, et al.. (2024). Identification and validation of extracellular vesicle reference genes for the normalization of RT‐qPCR data. Journal of Extracellular Vesicles. 13(4). e12421–e12421. 17 indexed citations
3.
Fischer, Suzanne, David Creytens, Benedicte Descamps, et al.. (2024). Generation of post-surgical minimal residual disease models to investigate metastasis in soft tissue sarcoma patient-derived orthotopic xenografts. STAR Protocols. 5(1). 102863–102863. 1 indexed citations
4.
Fischer, Suzanne, et al.. (2024). Single tumour, many faces - unraveling intratumour complexity of soft-tissue sarcoma. European Journal of Surgical Oncology. 50. 108834–108834.
5.
Fischer, Suzanne, Laurence Campens, Andreas Pasch, et al.. (2022). Serum Calcification Propensity T50 Associates with Disease Severity in Patients with Pseudoxanthoma Elasticum. Journal of Clinical Medicine. 11(13). 3727–3727. 7 indexed citations
6.
Mendoza, Juan L., Suzanne Fischer, Marvin H. Gee, et al.. (2020). Interrogating the recognition landscape of a conserved HIV-specific TCR reveals distinct bacterial peptide cross-reactivity. eLife. 9. 5 indexed citations
7.
Zhou, Ting, William Damsky, Orr-El Weizman, et al.. (2020). IL-18BP is a secreted immune checkpoint and barrier to IL-18 immunotherapy. Nature. 583(7817). 609–614. 238 indexed citations
8.
Lucas, Jonathan, et al.. (2020). Building Partnerships and Stakeholder Relationships for HIV Prevention: Longitudinal Cohort Study Focuses on Community Engagement. Progress in community health partnerships. 14(1). 3–4.
9.
Gee, Marvin H., Arnold Han, Shane Lofgren, et al.. (2017). Antigen Identification for Orphan T Cell Receptors Expressed on Tumor-Infiltrating Lymphocytes. Cell. 172(3). 549–563.e16. 193 indexed citations
10.
Luca, Vincent C., Kevin M. Jude, Nathan W. Pierce, et al.. (2015). Structural basis for Notch1 engagement of Delta-like 4. Science. 347(6224). 847–853. 197 indexed citations
11.
Mitra, Suman, Aaron M. Ring, Shoba Amarnath, et al.. (2015). Interleukin-2 Activity Can Be Fine Tuned with Engineered Receptor Signaling Clamps. Immunity. 42(5). 826–838. 126 indexed citations
12.
Goehring, April, Kevin H. Wang, Jennifer Carlisle Michel, et al.. (2014). Screening and large-scale expression of membrane proteins in mammalian cells for structural studies. Nature Protocols. 9(11). 2574–2585. 503 indexed citations breakdown →
13.
Birnbaum, Michael E., Richard Berry, Yu‐Shan Hsiao, et al.. (2014). Molecular architecture of the alpha beta T cell receptor-CD3 complex. 111(49). 3 indexed citations
14.
Lupardus, Patrick J., Georgios Skiniotis, Amanda J. Rice, et al.. (2011). Structural Snapshots of Full-Length Jak1, a Transmembrane gp130/IL-6/IL-6Rα Cytokine Receptor Complex, and the Receptor-Jak1 Holocomplex. Structure. 19(1). 45–55. 62 indexed citations
15.
Arguello, Amy A., et al.. (2009). Effect of chronic morphine on the dentate gyrus neurogenic microenvironment. Neuroscience. 159(3). 1003–1010. 46 indexed citations
17.
Ely, Lauren K., Suzanne Fischer, & K. Christopher García. (2009). Structural basis of receptor sharing by interleukin 17 cytokines. Nature Immunology. 10(12). 1245–1251. 151 indexed citations
18.
Dukkipati, Abhiram, Hyun Ho Park, Deepa Waghray, Suzanne Fischer, & K. Christopher García. (2008). BacMam system for high-level expression of recombinant soluble and membrane glycoproteins for structural studies. Protein Expression and Purification. 62(2). 160–170. 110 indexed citations
19.
Fischer, Suzanne, et al.. (1987). Can Automated Haematology Analysers Discriminate Thalassaemia from Iron Deficiency?. Acta Haematologica. 78(2-3). 180–183. 17 indexed citations
20.
Burke, John F., et al.. (1966). The constancy of the alpha-1-acid glycoprotein variants of normal adults under conditions of severe stress.. Journal of Clinical Investigation. 45(10). 1624–1630. 19 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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