Sabrina Richter

1.9k total citations · 2 hit papers
6 papers, 766 citations indexed

About

Sabrina Richter is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Sabrina Richter has authored 6 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Cancer Research. Recurrent topics in Sabrina Richter's work include Single-cell and spatial transcriptomics (6 papers), Advanced Proteomics Techniques and Applications (3 papers) and Gene expression and cancer classification (3 papers). Sabrina Richter is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Advanced Proteomics Techniques and Applications (3 papers) and Gene expression and cancer classification (3 papers). Sabrina Richter collaborates with scholars based in Germany, Denmark and United States. Sabrina Richter's co-authors include Fabian J. Theis, David S. Fischer, Louis B. Kuemmerle, Michal Klein, Olle Holmberg, Hannah Spitzer, Ignacio L. Ibarra, Anna C. Schaar, Giovanni Palla and Isaac Virshup and has published in prestigious journals such as Science, Nature Communications and Nature Methods.

In The Last Decade

Sabrina Richter

5 papers receiving 758 citations

Hit Papers

2 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Squidpy: a scalable framework for spatial omics analysis

2022 417 citations Giovanni Palla, Hannah Spitzer et al. Nature Methods profile →
Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation

2022 294 citations Andreas‐David Brunner, Marvin Thielert et al. Molecular Systems Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sabrina Richter Germany	4	637	214	125	121	70	6	766
Guillaume Harmange United States	3	563 0.9×	322 1.5×	83 0.7×	52 0.4×	84 1.2×	3	713
Harrison Specht United States	9	764 1.2×	606 2.8×	90 0.7×	73 0.6×	70 1.0×	16	982
R. Gray Huffman United States	6	649 1.0×	514 2.4×	90 0.7×	58 0.5×	54 0.8×	7	794
Aleksandra A. Petelski United States	6	520 0.8×	309 1.4×	59 0.5×	58 0.5×	61 0.9×	9	683
Editha Bayer Austria	9	262 0.4×	93 0.4×	47 0.4×	59 0.5×	41 0.6×	10	393
Katy Vandereyken Belgium	3	457 0.7×	21 0.1×	82 0.7×	81 0.7×	112 1.6×	3	660
Marcus Bode Germany	10	393 0.6×	68 0.3×	222 1.8×	82 0.7×	38 0.5×	13	560
Raik Böckelmann Germany	10	324 0.5×	43 0.2×	168 1.3×	129 1.1×	35 0.5×	18	605
Manuela Friedenberger Germany	7	336 0.5×	61 0.3×	210 1.7×	79 0.7×	38 0.5×	8	489
Nancy George United Kingdom	7	483 0.8×	38 0.2×	29 0.2×	66 0.5×	91 1.3×	9	670

Countries citing papers authored by Sabrina Richter

Since Specialization

Citations

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

Fields of papers citing papers by Sabrina Richter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Richter

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Zappia, Luke, Sabrina Richter, Ciro Ramírez-Suástegui, et al.. (2025). Feature selection methods affect the performance of scRNA-seq data integration and querying. Nature Methods. 22(4). 834–844. 7 indexed citations

2.

Furtwängler, Benjamin, Nil Üresin, Sabrina Richter, et al.. (2025). Mapping early human blood cell differentiation using single-cell proteomics and transcriptomics. Science. 390(6770). eadr8785–eadr8785.

3.

Richter, Sabrina, et al.. (2025). Graph neural networks learn emergent tissue properties from spatial molecular profiles. Nature Communications. 16(1). 8419–8419. 1 indexed citations

4.

Thielert, Marvin, Constantin Ammar, Florian A. Rosenberger, et al.. (2023). Robust dimethyl‐based multiplex‐DIA doubles single‐cell proteome depth via a reference channel. Molecular Systems Biology. 19(9). e11503–e11503. 47 indexed citations

5.

Brunner, Andreas‐David, Marvin Thielert, Catherine G. Vasilopoulou, et al.. (2022). Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation. Molecular Systems Biology. 18(3). e10798–e10798. 294 indexed citations breakdown →

6.

Palla, Giovanni, Hannah Spitzer, Michal Klein, et al.. (2022). Squidpy: a scalable framework for spatial omics analysis. Nature Methods. 19(2). 171–178. 417 indexed citations breakdown →

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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