Lukas Janker
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
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- Protein Degradation and Inhibitors 2
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- interferon and immune responses 2
- Toxin Mechanisms and Immunotoxins 2
- Immune Response and Inflammation 2
- Co-authors
- Christopher Gerner (23 shared papers)Benjamin Neuditschko (9 shared papers)Andrea Bileck (15 shared papers)Wolfgang Sommergruber (1 shared paper)Helmut Dolznig (1 shared paper)Daniela Unterleuthner (1 shared paper)Christine Unger (1 shared paper)Ilija Crnčec (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (3 papers)Nature Communications (2 papers)Scientific Reports (2 papers)Frontiers in Pharmacology (1 paper)Clinical Proteomics (1 paper)
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Lukas Janker
25 papers receiving 654 citations
Peers
Comparison fields: 5 of 104
- Cancer Research 121
- Oncology 155
- Archeology 42
- Immunology 82
- Molecular Biology 260
Countries citing papers authored by Lukas Janker
This map shows the geographic impact of Lukas Janker'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 Lukas Janker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Janker more than expected).
Fields of papers citing papers by Lukas Janker
This network shows the impact of papers produced by Lukas Janker. 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 Lukas Janker. The network helps show where Lukas Janker may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas Janker, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 225 | |
| 2 | 2021 | 61 | |
| 3 | 2021 | 49 | |
| 4 | 2019 | 34 | |
| 5 | 2021 | 26 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 26 | |
| 8 | 2019 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2018 | 18 | |
| 11 | 2018 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2021 | 13 | |
| 16 | 2022 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2018 | 10 | |
| 20 | 2021 | 7 |
About Lukas Janker
Lukas Janker is a scholar working on Molecular Biology, Immunology, Genetics, General Health Professions and Archeology, having authored 25 papers that have together received 660 indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (3 papers), Forensic and Genetic Research (3 papers), Mycotoxins in Agriculture and Food (3 papers), Indigenous Studies and Ecology (3 papers), Protein Degradation and Inhibitors (2 papers), interferon and immune responses (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Cancer Research (121 citations), Oncology (155 citations), Archeology (42 citations), Immunology (82 citations) and Molecular Biology (260 citations). Lukas Janker has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Christopher Gerner, Benjamin Neuditschko, Andrea Bileck, Wolfgang Sommergruber, Helmut Dolznig, Daniela Unterleuthner, Christine Unger, Ilija Crnčec, Harini Nivarthi and Robert Eferl. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Communications, Scientific Reports, Frontiers in Pharmacology and Clinical Proteomics.
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.