Susanne Schlisio

2.8k total citations · 2 hit papers
33 papers, 2.1k citations indexed

About

Susanne Schlisio is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Susanne Schlisio has authored 33 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Cancer Research and 13 papers in Neurology. Recurrent topics in Susanne Schlisio's work include Cancer, Hypoxia, and Metabolism (17 papers), Neuroblastoma Research and Treatments (13 papers) and Ubiquitin and proteasome pathways (6 papers). Susanne Schlisio is often cited by papers focused on Cancer, Hypoxia, and Metabolism (17 papers), Neuroblastoma Research and Treatments (13 papers) and Ubiquitin and proteasome pathways (6 papers). Susanne Schlisio collaborates with scholars based in Sweden, United States and United Kingdom. Susanne Schlisio's co-authors include William G. Kaelin, Wenyi Wei, J. Wade Harper, Jianping Jin, Bruce Carter, Haifeng Yang, Sung-Woo Lee, Robert S. Freeman, Yoji Andrew Minamishima and Mini P. Sajan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Susanne Schlisio

29 papers receiving 2.1k citations

Hit Papers

Neuronal apoptosis linked to EglN3 prolyl hydroxylase and... 2005 2026 2012 2019 2005 2005 100 200 300 400

Peers

Susanne Schlisio
Lin Pei United States
Michael Dews United States
David Petillo United States
Chirayu Goswami United States
Mei Yee Koh United States
Aguirre A. de Cubas United States
Patrick C. Mahon United Kingdom
Susanne Schlisio
Citations per year, relative to Susanne Schlisio Susanne Schlisio (= 1×) peers Eijiro Nakamura

Countries citing papers authored by Susanne Schlisio

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Schlisio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Schlisio

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

All Works

20 of 20 papers shown
1.
Yuan, Juan, Jiacheng Zhu, Wenyu Li, et al.. (2025). HIF2α negatively regulates MYCN protein levels and promotes a low-risk noradrenergic phenotype in neuroblastoma. Proceedings of the National Academy of Sciences. 122(43). e2516922122–e2516922122.
2.
Xu, Yunyun, Ping Chen, Gang Li, et al.. (2025). Single-cell MultiOmics and spatial transcriptomics demonstrate neuroblastoma developmental plasticity. Developmental Cell. 60(17). 2248–2263.e11. 3 indexed citations
3.
Wang, Ting, Yongqiang Dong, Zhiqiang Huang, et al.. (2023). Antioxidants stimulate BACH1-dependent tumor angiogenesis. Journal of Clinical Investigation. 133(20). 26 indexed citations
4.
Chen, Ziqing, Le Tong, Shiyong Neo, et al.. (2023). CD25 bright NK cells display superior function and metabolic activity under regulatory T cell-mediated suppression. OncoImmunology. 12(1). 2175517–2175517. 8 indexed citations
5.
Sainero‐Alcolado, Lourdes, Judit Liaño-Pons, Ye Yuan, et al.. (2022). Expression and activation of nuclear hormone receptors result in neuronal differentiation and favorable prognosis in neuroblastoma. Journal of Experimental & Clinical Cancer Research. 41(1). 226–226. 9 indexed citations
6.
Liu, Ruining, Wenjun Mou, Juan Yuan, et al.. (2022). HIF-1 stabilization in T cells hampers the control of Mycobacterium tuberculosis infection. Nature Communications. 13(1). 5093–5093. 15 indexed citations
7.
Yao, Shi, Juan Yuan, Vilma Rraklli, et al.. (2021). Aberrant splicing in neuroblastoma generates RNA-fusion transcripts and provides vulnerability to spliceosome inhibitors. Nucleic Acids Research. 49(5). 2509–2521. 10 indexed citations
8.
Guo, Min, Xuepei Zhang, Lei Jiang, et al.. (2021). VEGFR2 inhibition hampers breast cancer cell proliferation <i>via</i> enhanced mitochondrial biogenesis. Cancer Biology and Medicine. 18(1). 139–154. 23 indexed citations
9.
Bedoya-Reina, Oscar C., Wenyu Li, Petra Bullova, et al.. (2021). Single-nuclei transcriptomes from human adrenal gland reveal distinct cellular identities of low and high-risk neuroblastoma tumors. Nature Communications. 12(1). 5309–5309. 49 indexed citations
10.
Tan, Shuai, Shuijie Li, Yanan Min, et al.. (2020). Platelet factor 4 enhances CD4+ T effector memory cell responses via Akt‐PGC1α‐TFAM signaling‐mediated mitochondrial biogenesis. Journal of Thrombosis and Haemostasis. 18(10). 2685–2700. 25 indexed citations
11.
Rodríguez, Javier, Ana Herrero, Shuijie Li, et al.. (2018). PHD3 Regulates p53 Protein Stability by Hydroxylating Proline 359. Cell Reports. 24(5). 1316–1329. 51 indexed citations
12.
Li, Shuijie, Karin Wallis, Anna Kock, et al.. (2017). Neuroblast differentiation during development and in neuroblastoma requires KIF1Bβ-mediated transport of TRKA. Genes & Development. 31(10). 1036–1053. 14 indexed citations
13.
Li, Shuijie, Olga Surova, Erik Smedler, et al.. (2016). The 1p36 Tumor Suppressor KIF 1Bβ Is Required for Calcineurin Activation, Controlling Mitochondrial Fission and Apoptosis. Developmental Cell. 36(2). 164–178. 25 indexed citations
14.
Chen, Zhi Xiong, Karin Wallis, Daniel Ramsköld, et al.. (2014). RNA Helicase A Is a Downstream Mediator of KIF1Bβ Tumor-Suppressor Function in Neuroblastoma. Cancer Discovery. 4(4). 434–451. 43 indexed citations
15.
Astuti, Dewi, Christopher J. Ricketts, Rasheduzzaman Chowdhury, et al.. (2010). Mutation analysis of HIF prolyl hydroxylases (PHD/EGLN) in individuals with features of phaeochromocytoma and renal cell carcinoma susceptibility. Endocrine Related Cancer. 18(1). 73–83. 48 indexed citations
16.
Schlisio, Susanne. (2009). Neuronal apoptosis by prolyl hydroxylation: implication in nervous system tumours and the Warburg conundrum. Journal of Cellular and Molecular Medicine. 13(10). 4104–4112. 27 indexed citations
17.
Schlisio, Susanne, Rajappa S. Kenchappa, Liesbeth C.W. Vredeveld, et al.. (2008). The kinesin KIF1Bβ acts downstream from EglN3 to induce apoptosis and is a potential 1p36 tumor suppressor. Genes & Development. 22(7). 884–893. 257 indexed citations
18.
Yang, Haifeng, Yoji Andrew Minamishima, Qin Yan, et al.. (2007). pVHL Acts as an Adaptor to Promote the Inhibitory Phosphorylation of the NF-κB Agonist Card9 by CK2. Molecular Cell. 28(1). 15–27. 144 indexed citations
19.
Wei, Wenyi, Jianping Jin, Susanne Schlisio, J. Wade Harper, & William G. Kaelin. (2005). The v-Jun point mutation allows c-Jun to escape GSK3-dependent recognition and destruction by the Fbw7 ubiquitin ligase. Cancer Cell. 8(1). 25–33. 337 indexed citations breakdown →
20.
Giangrande, Paloma H., Wencheng Zhu, Susanne Schlisio, et al.. (2004). A role for E2F6 in distinguishing G1/S- and G2/M-specific transcription. Genes & Development. 18(23). 2941–2951. 87 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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