Jennifer Schwarz

690 total citations · 1 hit paper
14 papers, 529 citations indexed

About

Jennifer Schwarz is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Jennifer Schwarz has authored 14 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Cell Biology. Recurrent topics in Jennifer Schwarz's work include Endoplasmic Reticulum Stress and Disease (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and RNA modifications and cancer (2 papers). Jennifer Schwarz is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and RNA modifications and cancer (2 papers). Jennifer Schwarz collaborates with scholars based in Germany, United States and Netherlands. Jennifer Schwarz's co-authors include Bettina Warscheid, Kathrin Thedieck, Miriam Langelaar‐Makkinje, Stefanie Ruf, Alexander Martin Heberle, Heike Wiese, Regine C. Tölle, Piero Dalle Pezze, Udo Hahn and Daryl P. Shanley and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.

In The Last Decade

Jennifer Schwarz

13 papers receiving 523 citations

Hit Papers

align trajectories sort by overperformance

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.

A systems study reveals concurrent activation of AMPK and mTOR by amino acids

2016 378 citations Piero Dalle Pezze, Stefanie Ruf et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Schwarz Germany	8	266	69	46	38	35	14	529
Regine C. Tölle Germany	5	250 0.9×	62 0.9×	80 1.7×	37 1.0×	35 1.0×	7	517
Alexander Martin Heberle Netherlands	8	359 1.3×	91 1.3×	79 1.7×	54 1.4×	36 1.0×	11	695
Heike Wiese Germany	9	559 2.1×	81 1.2×	53 1.2×	46 1.2×	41 1.2×	10	856
Piero Dalle Pezze United Kingdom	8	408 1.5×	99 1.4×	50 1.1×	38 1.0×	35 1.0×	10	738
Giambattista Guaitoli Germany	10	307 1.2×	34 0.5×	80 1.7×	20 0.5×	17 0.5×	18	682
Miriam Langelaar‐Makkinje Netherlands	10	427 1.6×	83 1.2×	80 1.7×	57 1.5×	41 1.2×	16	865
G. Perera United Kingdom	9	120 0.5×	53 0.8×	24 0.5×	20 0.5×	22 0.6×	10	437
Stefanie Ruf Germany	6	536 2.0×	90 1.3×	140 3.0×	72 1.9×	36 1.0×	10	825
Kyung Won Kim South Korea	21	391 1.5×	123 1.8×	45 1.0×	63 1.7×	11 0.3×	50	1.3k

Countries citing papers authored by Jennifer Schwarz

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Schwarz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Schwarz

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

All Works

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14 of 14 papers shown

Rossetti, A.C., Josef Frank, Frank Stein, et al.. (2025). A multi-omics and cell type-specific characterization of the ventral striatum in human cocaine use disorder. Cell Reports. 44(2). 115332–115332.

Garrido‐Rodríguez, Martín, Muzamil Majid Khan, Dénes Türei, et al.. (2025). Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression. Molecular Systems Biology. 21(8). 1030–1065. 1 indexed citations

Heigwer, Florian, Oksana Voloshanenko, Dominique Kranz, et al.. (2025). Abstract 183: High-content screening reveals kinase regulators of Dvl2 phase separation in Wnt signaling: Implications for targeted cancer therapy. Cancer Research. 85(8_Supplement_1). 183–183. 1 indexed citations

Takasugi, Masaki, Yuya Yoshida, Frank Stein, et al.. (2024). An atlas of the aging mouse proteome reveals the features of age-related post-transcriptional dysregulation. Nature Communications. 15(1). 8520–8520. 11 indexed citations

Schwarz, Jennifer, Frank Stein, Roxana Ola, et al.. (2023). RNA-Binding Proteins Regulate Post-Transcriptional Responses to TGF-β to Coordinate Function and Mesenchymal Activation of Murine Endothelial Cells. Arteriosclerosis Thrombosis and Vascular Biology. 43(10). 1967–1989. 4 indexed citations

Acajjaoui, Samira, Ambroise Desfosses, Maria Bacia‐Verloop, et al.. (2023). The assembly of the Mitochondrial Complex I Assembly complex uncovers a redox pathway coordination. Nature Communications. 14(1). 8248–8248. 15 indexed citations

Lorenzo, Ramiro, Lucas A. Defelipe, Stephan Niebling, et al.. (2021). Deamidation drives molecular aging of the SARS-CoV-2 spike protein receptor-binding motif. Journal of Biological Chemistry. 297(4). 101175–101175. 4 indexed citations

Schwarz, Jennifer, Kathrin Kläsener, Dávid Medgyesi, et al.. (2021). Quantitative proteomics identifies PTP1B as modulator of B cell antigen receptor signaling. Life Science Alliance. 4(11). e202101084–e202101084. 5 indexed citations

Hörner, Maximilian, O. Sascha Yousefi, Jennifer Schwarz, et al.. (2019). Light-Controlled Affinity Purification of Protein Complexes Exemplified by the Resting ZAP70 Interactome. Frontiers in Immunology. 10. 226–226. 15 indexed citations

10.

Thornton, Kevin C., Jennifer Schwarz, Kendall Gross, et al.. (2017). Preventing Harm in the ICU—Building a Culture of Safety and Engaging Patients and Families. Critical Care Medicine. 45(9). 1531–1537. 14 indexed citations

11.

Ruf, Stefanie, Alexander Martin Heberle, Miriam Langelaar‐Makkinje, et al.. (2017). PLK1 (polo like kinase 1) inhibits MTOR complex 1 and promotes autophagy. Autophagy. 13(3). 486–505. 60 indexed citations

12.

Pezze, Piero Dalle, Stefanie Ruf, Annika Sonntag, et al.. (2016). A systems study reveals concurrent activation of AMPK and mTOR by amino acids. Nature Communications. 7(1). 13254–13254. 378 indexed citations breakdown →

13.

Schwarz, Jennifer, Heike Wiese, Regine C. Tölle, et al.. (2015). Functional Proteomics Identifies Acinus L as a Direct Insulin- and Amino Acid-Dependent Mammalian Target of Rapamycin Complex 1 (mTORC1) Substrate. Molecular & Cellular Proteomics. 14(8). 2042–2055. 14 indexed citations

14.

Ye, Lin, Rosalie Maurisse, Jennifer Schwarz, et al.. (2009). Sequence-Specific Correction of Genomic Hypoxanthine-Guanine Phosphoribosyl Transferase Mutations in Lymphoblasts by Small Fragment Homologous Replacement. Oligonucleotides. 20(1). 7–16. 7 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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