David Schlütermann

840 total citations · 1 hit paper
13 papers, 590 citations indexed

About

David Schlütermann is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David Schlütermann has authored 13 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David Schlütermann's work include Autophagy in Disease and Therapy (7 papers), Epigenetics and DNA Methylation (3 papers) and RNA modifications and cancer (2 papers). David Schlütermann is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Epigenetics and DNA Methylation (3 papers) and RNA modifications and cancer (2 papers). David Schlütermann collaborates with scholars based in Germany, Austria and Japan. David Schlütermann's co-authors include Björn Stork, Jana Deitersen, Niklas Berleth, Wenxian Wu, Fabian Stuhldreier, María José Mendiburo, Yadong Sun, Annabelle Friedrich, Lena Berning and Nora Hieke and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Scientific Reports.

In The Last Decade

David Schlütermann

13 papers receiving 588 citations

Hit 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.

Fin56-induced ferroptosis is supported by autophagy-mediated GPX4 degradation and functions synergistically with mTOR inhibition to kill bladder cancer cells

2021 210 citations Yadong Sun, Niklas Berleth et al. Cell Death and Disease profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Schlütermann Germany	12	376	210	179	155	78	13	590
Niklas Berleth Germany	12	393 1.0×	246 1.2×	183 1.0×	159 1.0×	58 0.7×	13	619
Mara Gagliardi Italy	10	321 0.9×	148 0.7×	156 0.9×	114 0.7×	91 1.2×	20	624
Michelle Cicchini United States	9	412 1.1×	223 1.1×	126 0.7×	160 1.0×	60 0.8×	9	727
Lin Jiao China	7	384 1.0×	293 1.4×	45 0.3×	216 1.4×	39 0.5×	11	658
Mingyao Huang China	15	565 1.5×	119 0.6×	152 0.8×	386 2.5×	192 2.5×	20	918
María José Mendiburo Germany	9	591 1.6×	90 0.4×	169 0.9×	145 0.9×	32 0.4×	12	774
Siao Muk Cheng Taiwan	12	415 1.1×	125 0.6×	59 0.3×	110 0.7×	62 0.8×	26	598
Fred Lozy United States	8	297 0.8×	266 1.3×	35 0.2×	117 0.8×	42 0.5×	8	515
Xiao-Cheng Yin China	6	329 0.9×	309 1.5×	33 0.2×	97 0.6×	66 0.8×	14	529
Zhaoyue He Switzerland	10	325 0.9×	296 1.4×	30 0.2×	74 0.5×	106 1.4×	12	529

Countries citing papers authored by David Schlütermann

Since Specialization

Citations

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

Fields of papers citing papers by David Schlütermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Schlütermann

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

All Works

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13 of 13 papers shown

Berning, Lena, Thomas Lenz, Gereon Poschmann, et al.. (2023). The Golgi stacking protein GRASP55 is targeted by the natural compound prodigiosin. Cell Communication and Signaling. 21(1). 275–275. 4 indexed citations

Nguyen, Anh, Annabelle Friedrich, David Schlütermann, et al.. (2023). Metamorphic proteins at the basis of human autophagy initiation and lipid transfer. Molecular Cell. 83(12). 2077–2090.e12. 26 indexed citations

Berning, Lena, David Schlütermann, Annabelle Friedrich, et al.. (2021). Prodigiosin Sensitizes Sensitive and Resistant Urothelial Carcinoma Cells to Cisplatin Treatment. Molecules. 26(5). 1294–1294. 14 indexed citations

Sun, Yadong, Niklas Berleth, Wenxian Wu, et al.. (2021). Fin56-induced ferroptosis is supported by autophagy-mediated GPX4 degradation and functions synergistically with mTOR inhibition to kill bladder cancer cells. Cell Death and Disease. 12(11). 1028–1028. 210 indexed citations breakdown →

Deitersen, Jana, Lena Berning, Fabian Stuhldreier, et al.. (2021). High-throughput screening for natural compound-based autophagy modulators reveals novel chemotherapeutic mode of action for arzanol. Cell Death and Disease. 12(6). 560–560. 12 indexed citations

Wu, Wenxian, Xiaojing Wang, Yadong Sun, et al.. (2021). TNF-induced necroptosis initiates early autophagy events via RIPK3-dependent AMPK activation, but inhibits late autophagy. Autophagy. 17(12). 3992–4009. 70 indexed citations

Schlütermann, David, Niklas Berleth, Jana Deitersen, et al.. (2021). FIP200 controls the TBK1 activation threshold at SQSTM1/p62-positive condensates. Scientific Reports. 11(1). 13863–13863. 28 indexed citations

Voß, Martin, Antje S Löffler, Steffen Erkelenz, et al.. (2021). An essential role of the autophagy activating kinase ULK1 in snRNP biogenesis. Nucleic Acids Research. 49(11). 6437–6455. 11 indexed citations

Anand, Ruchika, Arun Kumar Kondadi, Julia Riedel, et al.. (2020). MIC26 and MIC27 cooperate to regulate cardiolipin levels and the landscape of OXPHOS complexes. Life Science Alliance. 3(10). e202000711–e202000711. 43 indexed citations

10.

Wu, Wenxian, Xiaojing Wang, Niklas Berleth, et al.. (2020). The Autophagy-Initiating Kinase ULK1 Controls RIPK1-Mediated Cell Death. Cell Reports. 31(3). 107547–107547. 57 indexed citations

11.

Schlütermann, David, Andrea Hönscheid, Schafiq Nabhani, et al.. (2018). EBV Negative Lymphoma and Autoimmune Lymphoproliferative Syndrome Like Phenotype Extend the Clinical Spectrum of Primary Immunodeficiency Caused by STK4 Deficiency. Frontiers in Immunology. 9. 2400–2400. 32 indexed citations

12.

Schlütermann, David, Margaretha A. Skowron, Niklas Berleth, et al.. (2017). Targeting urothelial carcinoma cells by combining cisplatin with a specific inhibitor of the autophagy-inducing class III PtdIns3K complex. Urologic Oncology Seminars and Original Investigations. 36(4). 160.e1–160.e13. 42 indexed citations

13.

Hieke, Nora, Neha Verma, David Schlütermann, et al.. (2017). Systematic analysis of ATG13 domain requirements for autophagy induction. Autophagy. 14(5). 743–763. 41 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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