Lisa Schlicker

865 total citations · 1 hit paper
15 papers, 305 citations indexed

About

Lisa Schlicker is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Lisa Schlicker has authored 15 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Physiology. Recurrent topics in Lisa Schlicker's work include Cancer, Hypoxia, and Metabolism (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Mitochondrial Function and Pathology (3 papers). Lisa Schlicker is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Mitochondrial Function and Pathology (3 papers). Lisa Schlicker collaborates with scholars based in Germany, United States and Netherlands. Lisa Schlicker's co-authors include Almut Schulze, Danny Schilling, Reinhard Kappl, Frauke Gräter, Thamara Nishida Xavier da Silva, Uladzimir Barayeu, Aubry K. Miller, Tobias P. Dick, José Pedro Friedmann Angeli and Karsten Hiller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lisa Schlicker

15 papers receiving 304 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.

Hydropersulfides inhibit lipid peroxidation and ferroptosis by scavenging radicals

2022 160 citations Uladzimir Barayeu, Danny Schilling et al. Nature Chemical Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa Schlicker Germany	9	187	97	78	55	24	15	305
Yong Hua Wang China	8	239 1.3×	138 1.4×	29 0.4×	40 0.7×	32 1.3×	9	348
Danny Schilling Germany	6	171 0.9×	50 0.5×	76 1.0×	139 2.5×	9 0.4×	7	276
Changjin Chen United States	7	229 1.2×	70 0.7×	28 0.4×	62 1.1×	40 1.7×	9	345
Juan de los Santos-Jiménez Spain	5	190 1.0×	169 1.7×	36 0.5×	27 0.5×	28 1.2×	7	297
Yaqin Deng China	11	204 1.1×	99 1.0×	96 1.2×	126 2.3×	12 0.5×	18	391
Jouni Härkönen Finland	6	199 1.1×	56 0.6×	51 0.7×	13 0.2×	22 0.9×	9	282
Marcos Perez United States	6	212 1.1×	167 1.7×	218 2.8×	23 0.4×	30 1.3×	7	337
Huaqin Zhang China	12	279 1.5×	192 2.0×	37 0.5×	23 0.4×	58 2.4×	19	470
Jingyang He China	11	222 1.2×	59 0.6×	28 0.4×	82 1.5×	55 2.3×	21	324

Countries citing papers authored by Lisa Schlicker

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Schlicker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Schlicker

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Schlicker. A scholar is included among the top collaborators of Lisa Schlicker 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 Lisa Schlicker. Lisa Schlicker 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:

15 of 15 papers shown

Schlicker, Lisa, Marc A. Schneider, Thomas Muley, et al.. (2025). Cancer-associated fibroblasts promote drug resistance in ALK-driven lung adenocarcinoma cells by upregulating lipid biosynthesis. Cancer & Metabolism. 13(1). 28–28. 2 indexed citations

Snaebjornsson, Marteinn T., Florian Röhrig, Lisa Schlicker, et al.. (2025). Targeting aldolase A in hepatocellular carcinoma leads to imbalanced glycolysis and energy stress due to uncontrolled FBP accumulation. Nature Metabolism. 7(2). 348–366. 10 indexed citations

Hopp, Ann-Katrin, Lorenza P. Ferretti, Lisa Schlicker, et al.. (2025). MacroD1 sustains mitochondrial integrity and oxidative metabolism. Nature Communications. 16(1). 7595–7595. 1 indexed citations

Schwaiger-Haber, Michaela, Lisa Schlicker, Martijn R. Molenaar, et al.. (2024). Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer. Nature Metabolism. 6(9). 1695–1711. 22 indexed citations

Wang, Changwen, Meng Sun, Chunxuan Shao, et al.. (2024). A multidimensional atlas of human glioblastoma-like organoids reveals highly coordinated molecular networks and effective drugs. npj Precision Oncology. 8(1). 19–19. 14 indexed citations

Iskar, Murat, Martin Schneider, Dominic Helm, et al.. (2024). Proteomic, Metabolomic, and Fatty Acid Profiling of Small Extracellular Vesicles from Glioblastoma Stem-Like Cells and Their Role in Tumor Heterogeneity. ACS Nano. 18(3). 2500–2519. 19 indexed citations

Hartmann, Oliver, Cristian Prieto‐Garcia, Kamal M. Al-Shami, et al.. (2023). USP28 controls SREBP2 and the mevalonate pathway to drive tumour growth in squamous cancer. Cell Death and Differentiation. 30(7). 1710–1725. 21 indexed citations

Hassin, Ori, Felix C. E. Vogel, Max D. Wellenstein, et al.. (2023). p53 deficient breast cancer cells reprogram preadipocytes toward tumor-protective immunomodulatory cells. Proceedings of the National Academy of Sciences. 120(52). e2311460120–e2311460120. 6 indexed citations

Barayeu, Uladzimir, Danny Schilling, Thamara Nishida Xavier da Silva, et al.. (2022). Hydropersulfides inhibit lipid peroxidation and ferroptosis by scavenging radicals. Nature Chemical Biology. 19(1). 28–37. 160 indexed citations breakdown →

10.

Schlicker, Lisa, Gang Zhao, Hanny M. Boers, et al.. (2022). Systemic Lactate Acts as a Metabolic Buffer in Humans and Prevents Nutrient Overflow in the Postprandial Phase. Frontiers in Nutrition. 9. 785999–785999. 5 indexed citations

11.

Schlicker, Lisa, Yongxia Guo, Sudha Janaki‐Raman, et al.. (2022). c-Myc plays a key role in IFN-γ-induced persistence of Chlamydia trachomatis. eLife. 11. 12 indexed citations

12.

Peixoto, Joana, Sudha Janaki‐Raman, Lisa Schlicker, et al.. (2021). Integrated Metabolomics and Transcriptomics Analysis of Monolayer and Neurospheres from Established Glioblastoma Cell Lines. Cancers. 13(6). 1327–1327. 12 indexed citations

13.

Penkert, Judith, Martin Seifert, Bernd Auber, et al.. (2021). Plasma Metabolome Signature Indicative of BRCA1 Germline Status Independent of Cancer Incidence. Frontiers in Oncology. 11. 627217–627217. 3 indexed citations

14.

Schlicker, Lisa, Hanny M. Boers, Gang Zhao, et al.. (2019). Postprandial Metabolic Effects of Fiber Mixes Revealed by in vivo Stable Isotope Labeling in Humans. Metabolites. 9(5). 91–91. 3 indexed citations

15.

Schlicker, Lisa, et al.. (2019). Unexpected roles for ADH1 and SORD in catalyzing the final step of erythritol biosynthesis. Journal of Biological Chemistry. 294(44). 16095–16108. 15 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.

Explore authors with similar magnitude of impact