Michael Lahn
Impact in
- Oncology top 2%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 24
- Pancreatic and Hepatic Oncology Research 8
- Colorectal Cancer Treatments and Studies 6
- Cancer Treatment and Pharmacology 4
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- Cancer, Hypoxia, and Metabolism 11
- Co-authors
- Ann CleverlyGianluigi GiannelliIvelina GueorguievaErica VillaKarim A. BenhadjiShawn T. EstremAnja J. StauberKyla Driscoll
- Journals
- Journal of Clinical Oncology (5 papers)Investigational New Drugs (4 papers)Annals of Oncology (3 papers)Biomarkers (2 papers)Molecular Cancer Therapeutics (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michael Lahn
42 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Oncology 1.1k
- Cancer Research 400
- Hepatology 175
- Molecular Biology 1.3k
- Genetics 203
Countries citing papers authored by Michael Lahn
This map shows the geographic impact of Michael Lahn'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 Michael Lahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lahn more than expected).
Fields of papers citing papers by Michael Lahn
This network shows the impact of papers produced by Michael Lahn. 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 Michael Lahn. The network helps show where Michael Lahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Lahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | 2015 | 39 | |
| 3 | 2014 | 200 | |
| 4 | 2014 | 30 | |
| 5 | 2014 | 91 | |
| 6 | 2014 | 81 | |
| 7 | 2011 | 195 | |
| 8 | 2010 | 25 | |
| 9 | 2010 | 20 | |
| 10 | 2009 | 22 | |
| 11 | 2009 | 21 | |
| 12 | 2009 | 11 | |
| 13 | 2008 | 13 | |
| 14 | 2007 | 30 | |
| 15 | 2007 | 25 | |
| 16 | 2007 | 17 | |
| 17 | 2007 | 3 | |
| 18 | 2006 | 19 | |
| 19 | 2004 | 32 | |
| 20 | 2004 | 39 |
About Michael Lahn
Michael Lahn is a scholar working on Oncology, Cancer Research, Toxicology, Genetics and Molecular Biology, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (20 papers), Cancer, Hypoxia, and Metabolism (11 papers), Pancreatic and Hepatic Oncology Research (8 papers), Colorectal Cancer Treatments and Studies (6 papers), Glioma Diagnosis and Treatment (5 papers), Cancer Treatment and Pharmacology (4 papers), Melanoma and MAPK Pathways (4 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (400 citations), Hepatology (175 citations), Molecular Biology (1.3k citations) and Genetics (203 citations). Michael Lahn has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ann Cleverly, Gianluigi Giannelli, Ivelina Gueorguieva, Erica Villa, Karim A. Benhadji, Shawn T. Estrem, Anja J. Stauber, Kyla Driscoll, Stephan Herbertz and Christopher A. Slapak. Their work appears in journals such as Journal of Clinical Oncology, Investigational New Drugs, Annals of Oncology, Biomarkers and Molecular Cancer Therapeutics.
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.