Stefan Salcher
Impact in
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- Cancer-related molecular mechanisms research
Papers in
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- Single-cell and spatial transcriptomics 5
- FOXO transcription factor regulation 3
- PI3K/AKT/mTOR signaling in cancer 3
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- Chronic Myeloid Leukemia Treatments 7
- Co-authors
- Petra Obexer (11 shared papers)Michael J. Ausserlechner (6 shared papers)Ursula Kiechl‐Kohlendorfer (5 shared papers)Martin Hermann (4 shared papers)Ronald Gust (10 shared papers)Kathrin Geiger (2 shared papers)Gilles A. Spoden (2 shared papers)Herbert Lindner (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (4 papers)Molecular Cancer (4 papers)Journal of Medicinal Chemistry (3 papers)European Urology Oncology (2 papers)Trends in cancer (1 paper)
- Partner nations
- AustriaGermanyUnited Kingdom
In The Last Decade
Stefan Salcher
28 papers receiving 503 citations
Peers
Comparison fields: 5 of 90
- Aging 12
- Cancer Research 72
- Molecular Biology 241
- Oncology 86
- Hematology 35
Countries citing papers authored by Stefan Salcher
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
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-authors
The 25 scholars most cited alongside Stefan Salcher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 121 | |
| 2 | 2017 | 78 | |
| 3 | 2019 | 61 | |
| 4 | 2014 | 47 | |
| 5 | 2019 | 44 | |
| 6 | 2024 | 21 | |
| 7 | 2024 | 16 | |
| 8 | 2019 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2014 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2016 | 4 |
About Stefan Salcher
Stefan Salcher is a scholar working on Molecular Biology, Hematology, Oncology, Rheumatology and Organic Chemistry, having authored 29 papers that have together received 506 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), Single-cell and spatial transcriptomics (5 papers), Eosinophilic Disorders and Syndromes (4 papers), FOXO transcription factor regulation (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Immune cells in cancer (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Quinazolinone synthesis and applications (2 papers). The work is most often cited by research in Aging (12 citations), Cancer Research (72 citations), Molecular Biology (241 citations), Oncology (86 citations) and Hematology (35 citations). Stefan Salcher has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Petra Obexer, Michael J. Ausserlechner, Ursula Kiechl‐Kohlendorfer, Martin Hermann, Ronald Gust, Kathrin Geiger, Gilles A. Spoden, Herbert Lindner, Julia Huber and Georg Golderer. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecular Cancer, Journal of Medicinal Chemistry, European Urology Oncology and Trends in cancer.
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.