Stefan Salcher

1.4k total citations
28 papers, 483 citations indexed

About

Stefan Salcher is a scholar working on Molecular Biology, Hematology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stefan Salcher has authored 28 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Hematology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stefan Salcher's work include Chronic Myeloid Leukemia Treatments (7 papers), Single-cell and spatial transcriptomics (5 papers) and Eosinophilic Disorders and Syndromes (4 papers). Stefan Salcher is often cited by papers focused on Chronic Myeloid Leukemia Treatments (7 papers), Single-cell and spatial transcriptomics (5 papers) and Eosinophilic Disorders and Syndromes (4 papers). Stefan Salcher collaborates with scholars based in Austria, Germany and Greece. Stefan Salcher's co-authors include Petra Obexer, Ursula Kiechl‐Kohlendorfer, Michael J. Ausserlechner, Martin Hermann, Ronald Gust, Kathrin Geiger, Gilles A. Spoden, Herbert Lindner, Georg Golderer and Julia Huber and has published in prestigious journals such as Journal of Clinical Investigation, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

Stefan Salcher

28 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Salcher Austria 10 245 91 85 71 68 28 483
Andreas Hedblom United States 11 332 1.4× 109 1.2× 123 1.4× 84 1.2× 116 1.7× 15 554
Geng Xu China 14 183 0.7× 147 1.6× 119 1.4× 91 1.3× 62 0.9× 50 585
Clare Coveney United Kingdom 11 270 1.1× 72 0.8× 111 1.3× 69 1.0× 35 0.5× 30 505
Shuang Yan China 17 466 1.9× 215 2.4× 135 1.6× 72 1.0× 85 1.3× 50 801
Gillian Moore Ireland 9 178 0.7× 130 1.4× 90 1.1× 45 0.6× 68 1.0× 16 414
Rosalind A. Rosenthal United States 9 291 1.2× 85 0.9× 129 1.5× 54 0.8× 51 0.8× 10 526
Anping Song China 10 306 1.2× 99 1.1× 95 1.1× 68 1.0× 64 0.9× 15 527
Irene Filippi Italy 15 252 1.0× 102 1.1× 129 1.5× 35 0.5× 141 2.1× 29 618
Anthie Yiakouvaki United Kingdom 9 406 1.7× 112 1.2× 113 1.3× 39 0.5× 66 1.0× 9 615
Can Tan United States 9 492 2.0× 102 1.1× 70 0.8× 40 0.6× 65 1.0× 22 715

Countries citing papers authored by Stefan Salcher

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Salcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Salcher

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Salcher. A scholar is included among the top collaborators of Stefan Salcher 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 Stefan Salcher. Stefan Salcher 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.
Tymoszuk, Piotr, et al.. (2025). Prediction of Prostate Cancer Biochemical Recurrence After Radical Prostatectomy by Collagen Models Using Multiomic Profiles. European Urology Oncology. 9(1). 17–25. 1 indexed citations
2.
Gebhart, Mathias, et al.. (2025). Key determinants of the chemo-sensitizing activity of novel Telmisartan derivatives. European Journal of Medicinal Chemistry Reports. 15. 100281–100281. 1 indexed citations
3.
Mousa, Mira, Stefan Salcher, Christina Plattner, et al.. (2025). Unveiling the immunomodulatory dance: endothelial cells’ function and their role in non-small cell lung cancer. Molecular Cancer. 24(1). 21–21. 1 indexed citations
4.
Trebo, Manuel, Isabel Heidegger, Theresa Hautz, et al.. (2024). Profiling low-mRNA content cells in complex human tissues using BD Rhapsody single-cell analysis. STAR Protocols. 5(4). 103475–103475. 2 indexed citations
5.
Heidegger, Isabel, Stefan Salcher, Piotr Tymoszuk, et al.. (2024). Prediction of Clinically Significant Prostate Cancer by a Specific Collagen-related Transcriptome, Proteome, and Urinome Signature. European Urology Oncology. 8(3). 652–662. 9 indexed citations
6.
Gebhart, M, Mostafa Alilou, Ronald Gust, & Stefan Salcher. (2024). Circumventing Imatinib resistance in CML: Novel Telmisartan-based cell death modulators with improved activity and stability. European Journal of Medicinal Chemistry. 283. 117106–117106. 1 indexed citations
7.
Hautz, Theresa, Hubert Hackl, Julia Hofmann, et al.. (2024). Transcriptomic signatures during normothermic liver machine perfusion correspond with graft quality and predict the early graft function. EBioMedicine. 108. 105330–105330. 4 indexed citations
8.
Horvath, Lena, Agnieszka Martowicz, Gregor Sturm, et al.. (2024). Beyond binary: bridging neutrophil diversity to new therapeutic approaches in NSCLC. Trends in cancer. 10(5). 457–474. 17 indexed citations
9.
Salcher, Stefan, Isabel Heidegger, Gerold Untergasser, et al.. (2024). Comparative analysis of 10X Chromium vs. BD Rhapsody whole transcriptome single-cell sequencing technologies in complex human tissues. Heliyon. 10(7). e28358–e28358. 14 indexed citations
10.
Wolf‎, Dominik, Stefan Salcher, & Andreas Pircher. (2024). The multivisceral landscape of colorectal cancer metastasis: implications for targeted therapies. Journal of Clinical Investigation. 134(5). 2 indexed citations
11.
Salcher, Stefan, et al.. (2021). The Biology of Classic Hairy Cell Leukemia. International Journal of Molecular Sciences. 22(15). 7780–7780. 9 indexed citations
12.
Salcher, Stefan, et al.. (2021). Tackling resistance in chronic myeloid leukemia: Novel cell death modulators with improved efficacy. European Journal of Medicinal Chemistry. 216. 113285–113285. 5 indexed citations
15.
Salcher, Stefan, Gilles A. Spoden, Julia Huber, et al.. (2019). Repaglinide Silences the FOXO3/Lumican Axis and Represses the Associated Metastatic Potential of Neuronal Cancer Cells. Cells. 9(1). 1–1. 119 indexed citations
16.
Salcher, Stefan, Gilles A. Spoden, Judith Hagenbuchner, et al.. (2019). A drug library screen identifies Carbenoxolone as novel FOXO inhibitor that overcomes FOXO3-mediated chemoprotection in high-stage neuroblastoma. Oncogene. 39(5). 1080–1097. 43 indexed citations
17.
Salcher, Stefan, Martin Hermann, Ursula Kiechl‐Kohlendorfer, Michael J. Ausserlechner, & Petra Obexer. (2017). C10ORF10/DEPP-mediated ROS accumulation is a critical modulator of FOXO3-induced autophagy. Molecular Cancer. 16(1). 95–95. 76 indexed citations
18.
Salcher, Stefan, Markus Möst, Petra Obexer, et al.. (2016). Characterization of the XIAP-Inhibiting Proanthocyanidin Fraction of the Aerial Parts of Ephedra sinica. Planta Medica. 82(11/12). 973–985. 4 indexed citations
19.
Salcher, Stefan, Judith Hagenbuchner, Kathrin Geiger, et al.. (2014). C10ORF10/DEPP, a transcriptional target of FOXO3, regulates ROS-sensitivity in human neuroblastoma. Molecular Cancer. 13(1). 224–224. 46 indexed citations
20.
Salcher, Stefan, Judith Hagenbuchner, Ursula Kiechl‐Kohlendorfer, et al.. (2014). Discovery of Sanggenon G as a natural cell‐permeable small‐molecular weight inhibitor of X‐linked inhibitor of apoptosis protein (XIAP). FEBS Open Bio. 4(1). 659–671. 9 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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