Jonas Schulte-Schrepping

7.8k total citations · 1 hit paper
15 papers, 666 citations indexed

About

Jonas Schulte-Schrepping is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Jonas Schulte-Schrepping has authored 15 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Jonas Schulte-Schrepping's work include Single-cell and spatial transcriptomics (9 papers), Epigenetics and DNA Methylation (2 papers) and COVID-19 Clinical Research Studies (2 papers). Jonas Schulte-Schrepping is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Epigenetics and DNA Methylation (2 papers) and COVID-19 Clinical Research Studies (2 papers). Jonas Schulte-Schrepping collaborates with scholars based in Germany, Netherlands and United States. Jonas Schulte-Schrepping's co-authors include Joachim L. Schultze, Rainer Knoll, Anna C. Aschenbrenner, Kevin Baßler, Lorenzo Bonaguro, Stefanie Warnat‐Herresthal, Elena De Domenico, Nico Reusch, Thomas Ulas and Marc Beyer and has published in prestigious journals such as Nature Immunology, Annual Review of Immunology and Frontiers in Immunology.

In The Last Decade

Jonas Schulte-Schrepping

15 papers receiving 656 citations

Hit Papers

Monocytes and Macrophages in COVID-19 2021 2026 2022 2024 2021 50 100 150
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.

  1. Monocytes and Macrophages in COVID-19
    2021 181 citations Rainer Knoll, Joachim L. Schultze et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Schulte-Schrepping Germany 7 270 264 183 130 80 15 666
Kevin Baßler Germany 12 275 1.0× 144 0.5× 243 1.3× 72 0.6× 67 0.8× 21 669
Hong Peng China 11 132 0.5× 210 0.8× 308 1.7× 105 0.8× 94 1.2× 26 668
Jinguo Ye China 7 182 0.7× 414 1.6× 160 0.9× 214 1.6× 46 0.6× 14 689
Sabrina Racine‐Brzostek United States 10 126 0.5× 270 1.0× 120 0.7× 51 0.4× 49 0.6× 30 561
Domenico Lo Tartaro Italy 15 185 0.7× 183 0.7× 232 1.3× 184 1.4× 100 1.3× 34 694
Jieru Geng United States 10 186 0.7× 240 0.9× 297 1.6× 98 0.8× 42 0.5× 15 805
Shima Shahbaz Canada 20 420 1.6× 243 0.9× 187 1.0× 138 1.1× 44 0.6× 33 861
Ao Jiang China 4 174 0.6× 565 2.1× 445 2.4× 269 2.1× 74 0.9× 10 1.1k
Monika Gudowska-Sawczuk Poland 14 102 0.4× 110 0.4× 124 0.7× 71 0.5× 144 1.8× 45 538
Jiahong Xia China 10 85 0.3× 272 1.0× 82 0.4× 140 1.1× 113 1.4× 24 576

Countries citing papers authored by Jonas Schulte-Schrepping

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Schulte-Schrepping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas Schulte-Schrepping. 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 Jonas Schulte-Schrepping. The network helps show where Jonas Schulte-Schrepping may publish in the future.

Co-authorship network of co-authors of Jonas Schulte-Schrepping

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

All Works

15 of 15 papers shown
1.
Schulte-Schrepping, Jonas, Florian Tran, Jan Taubenheim, et al.. (2025). P0092 Advancing precision medicine in IBD: Systematic evaluation of single-cell transcriptomics protocols for intestinal biopsies. Journal of Crohn s and Colitis. 19(Supplement_1). i460–i461. 1 indexed citations
2.
Müller, Linda, Bettina Jux, Susanne V. Schmidt, et al.. (2024). Differential impact of high-salt levels in vitro and in vivo on macrophage core functions. Molecular Biology Reports. 51(1). 343–343. 2 indexed citations
3.
Theis, Heidi, Michael Kraut, Marc Beyer, et al.. (2024). Cost-Efficient Transcriptomic-Based Drug Screening. Journal of Visualized Experiments. 2 indexed citations
4.
Bonaguro, Lorenzo, Jonas Schulte-Schrepping, Benedikt Reiz, et al.. (2022). Human variation in population-wide gene expression data predicts gene perturbation phenotype. iScience. 25(11). 105328–105328. 2 indexed citations
5.
Bonaguro, Lorenzo, Jonas Schulte-Schrepping, Arik Horne, et al.. (2022). Decoding mechanism of action and sensitivity to drug candidates from integrated transcriptome and chromatin state. eLife. 11. 5 indexed citations
6.
Bonaguro, Lorenzo, Jonas Schulte-Schrepping, Thomas Ulas, et al.. (2022). A guide to systems-level immunomics. Nature Immunology. 23(10). 1412–1423. 37 indexed citations
7.
Knoll, Rainer, Joachim L. Schultze, & Jonas Schulte-Schrepping. (2021). Monocytes and Macrophages in COVID-19. Frontiers in Immunology. 12. 720109–720109. 181 indexed citations breakdown →
8.
Reusch, Nico, Elena De Domenico, Lorenzo Bonaguro, et al.. (2021). Neutrophils in COVID-19. Frontiers in Immunology. 12. 652470–652470. 183 indexed citations
9.
Domenico, Elena De, Lorenzo Bonaguro, Jonas Schulte-Schrepping, et al.. (2020). Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19. STAR Protocols. 1(3). 100233–100233. 12 indexed citations
10.
Warnat‐Herresthal, Stefanie, Konstantinos Perrakis, Bernd Taschler, et al.. (2019). Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics. iScience. 23(1). 100780–100780. 60 indexed citations
11.
Baßler, Kevin, Patrick Günther, Jonas Schulte-Schrepping, Matthias Becker, & Paweł Biernat. (2019). A Bioinformatic Toolkit for Single-Cell mRNA Analysis. Methods in molecular biology. 1979. 433–455. 3 indexed citations
12.
Cirovic, Branko, L. Charlotte J. de Bree, Laszlo Groh, et al.. (2019). Human Bacille Calmette-Guérin Vaccination Elicits Trained Immunity Via the Hematopoietic Progenitor Compartment. SSRN Electronic Journal. 4 indexed citations
13.
Becker, Matthias, Milind Chabbi, Stefanie Warnat‐Herresthal, et al.. (2019). Accelerated Genomics Data Processing using Memory-Driven Computing. 1850–1855. 3 indexed citations
14.
Baßler, Kevin, Jonas Schulte-Schrepping, Stefanie Warnat‐Herresthal, Anna C. Aschenbrenner, & Joachim L. Schultze. (2019). The Myeloid Cell Compartment—Cell by Cell. Annual Review of Immunology. 37(1). 269–293. 128 indexed citations
15.
Heine, Annkristin, Stefanie Andrea Erika Held, Jonas Schulte-Schrepping, et al.. (2017). Generation and functional characterization of MDSC-like cells. OncoImmunology. 6(4). e1295203–e1295203. 43 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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