Markus Hengstschläger
- Molecular Biology top 1%
- Oncology top 1%
- Immunology top 2%
- Cancer Research top 2%
- Physiology top 2%
- Co-authors
- Margit RosnerThomas WeichhartHelmut DolznigMonika LinkeNina KramerChristine UngerClaudia GundackerGeorg Krupitza
- Topics
- PI3K/AKT/mTOR signaling in cancer (32 papers)Tuberous Sclerosis Complex Research (27 papers)Renal and related cancers (27 papers)
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Markus Hengstschläger
210 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 4.5k
- Oncology 2.0k
- Immunology 1.5k
- Cancer Research 1.0k
- Physiology 963
Countries citing papers authored by Markus Hengstschläger
This map shows the geographic impact of Markus Hengstschläger'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 Markus Hengstschläger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Hengstschläger more than expected).
Fields of papers citing papers by Markus Hengstschläger
This network shows the impact of papers produced by Markus Hengstschläger. 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 Markus Hengstschläger. The network helps show where Markus Hengstschläger may publish in the future.
Co-authorship network of co-authors of Markus Hengstschläger
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Hengstschläger. A scholar is included among the top collaborators of Markus Hengstschläger 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 Markus Hengstschläger. Markus Hengstschläger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 21 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 24 | |
| 13 | 105 | |
| 14 | 46 | |
| 15 | 96 | |
| 16 | 23 | |
| 17 | 7 | |
| 18 | Präimplantationsdiagnostik: der aktuelle Stand | 0 |
| 19 | The role of p16 in the E2F-dependent thymidine kinase regulation. | 24 |
| 20 | 1 |
About Markus Hengstschläger
Markus Hengstschläger is a scholar working on Oncology, Genetics and Molecular Biology, having authored 216 papers that have together received 9.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (32 papers), Tuberous Sclerosis Complex Research (27 papers) and Renal and related cancers (27 papers). The work is most often cited by research in Oncology (2.0k citations), Immunology (1.5k citations) and Cancer Research (1.0k citations). Markus Hengstschläger has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Margit Rosner, Thomas Weichhart, Helmut Dolznig, Monika Linke, Nina Kramer, Christine Unger, Claudia Gundacker, Georg Krupitza, Angelika Walzl and Thomas Soucek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.