Sophia Scheuermann

430 total citations
9 papers, 99 citations indexed

About

Sophia Scheuermann is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sophia Scheuermann has authored 9 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Sophia Scheuermann's work include Single-cell and spatial transcriptomics (3 papers), Glycosylation and Glycoproteins Research (2 papers) and CAR-T cell therapy research (2 papers). Sophia Scheuermann is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Glycosylation and Glycoproteins Research (2 papers) and CAR-T cell therapy research (2 papers). Sophia Scheuermann collaborates with scholars based in Germany, Switzerland and Australia. Sophia Scheuermann's co-authors include Christian Seitz, Christine Peter, Annette Aichem, Ricarda Schwab, Andrej Berg, Silke Wiesner, Nicola Catone, Marcus Groettrup, Gunter Schmidtke and Daniel Atar and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and Journal of Leukocyte Biology.

In The Last Decade

Sophia Scheuermann

9 papers receiving 97 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sophia Scheuermann Germany 6 58 39 24 19 13 9 99
Carly E. Whyte United Kingdom 5 43 0.7× 39 1.0× 66 2.8× 15 0.8× 8 0.6× 6 115
Stephanie Xavier United States 4 30 0.5× 45 1.2× 29 1.2× 7 0.4× 18 1.4× 5 111
Dane Vassiliadis Australia 5 95 1.6× 24 0.6× 18 0.8× 10 0.5× 46 3.5× 8 128
Kristina Handler Switzerland 6 71 1.2× 28 0.7× 22 0.9× 6 0.3× 26 2.0× 8 101
Qichao Yu China 7 71 1.2× 29 0.7× 27 1.1× 5 0.3× 30 2.3× 9 110
Neeharika Kothapalli United States 4 44 0.8× 22 0.6× 37 1.5× 6 0.3× 5 0.4× 8 88
Scott E. Youlten Australia 5 49 0.8× 18 0.5× 20 0.8× 7 0.4× 9 0.7× 10 85
Revant Gupta Germany 4 42 0.7× 22 0.6× 14 0.6× 10 0.5× 11 0.8× 4 72
Sarah M. Shin United States 4 28 0.5× 36 0.9× 24 1.0× 5 0.3× 17 1.3× 11 73
Nora Ruef Switzerland 6 27 0.5× 24 0.6× 44 1.8× 12 0.6× 4 0.3× 10 96

Countries citing papers authored by Sophia Scheuermann

Since Specialization
Citations

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

Fields of papers citing papers by Sophia Scheuermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sophia Scheuermann

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

All Works

9 of 9 papers shown
1.
Scheuermann, Sophia, et al.. (2025). Targeting CD276 with Adapter-CAR T-cells provides a novel therapeutic strategy in small cell lung cancer and prevents CD276-dependent fratricide. Journal of Hematology & Oncology. 18(1). 76–76. 2 indexed citations
2.
Walter, Carolin, Eric Suero Molina, Walter Stummer, et al.. (2024). Single-cell transcriptomics link gene expression signatures to clinicopathological features of gonadotroph and lactotroph PitNET. Journal of Translational Medicine. 22(1). 1027–1027. 1 indexed citations
3.
Scheuermann, Sophia, et al.. (2024). Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging. Frontiers in Immunology. 15. 1383932–1383932. 7 indexed citations
4.
Babaei, Sepideh, Can Yurttas, Sophia Scheuermann, et al.. (2024). High-dimensional in situ proteomics imaging to assess γδ T cells in spatial biology. Journal of Leukocyte Biology. 115(4). 750–759. 4 indexed citations
5.
Rohlfing, Anne‐Katrin, Sophia Scheuermann, Na Sun, et al.. (2023). Translating genomic tools to Raman spectroscopy analysis enables high-dimensional tissue characterization on molecular resolution. Nature Communications. 14(1). 5799–5799. 22 indexed citations
6.
Reischl, Gerald, Christian Seitz, Helmut Dittmann, et al.. (2022). First-in-Humans PET/MRI of In Vivo GD2 Expression in Osteosarcoma. Journal of Nuclear Medicine. 64(2). 337–338. 7 indexed citations
7.
Bell, Peter A., Sophia Scheuermann, Florian Renner, et al.. (2022). Integrating knowledge of protein sequence with protein function for the prediction and validation of new MALT1 substrates. Computational and Structural Biotechnology Journal. 20. 4717–4732. 9 indexed citations
8.
Atar, Daniel, et al.. (2022). Adapter CAR T Cell Therapy for the Treatment of B-Lineage Lymphomas. Biomedicines. 10(10). 2420–2420. 10 indexed citations
9.
Aichem, Annette, Nicola Catone, Andrej Berg, et al.. (2018). The structure of the ubiquitin-like modifier FAT10 reveals an alternative targeting mechanism for proteasomal degradation. Nature Communications. 9(1). 3321–3321. 37 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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