Michael Lahn
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
- Oncology 46
- Cancer Immunotherapy and Biomarkers 13
- Pancreatic and Hepatic Oncology Research 11
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- TGF-β signaling in diseases 15
- PI3K/AKT/mTOR signaling in cancer 10
- Co-authors
- Willi K. Born (19 shared papers)Rebecca L. O’Brien (13 shared papers)Ann Cleverly (21 shared papers)Erwin W. Gelfand (11 shared papers)Akiko Mukasa (5 shared papers)Arihiko Kanehiro (8 shared papers)Ivelina Gueorguieva (15 shared papers)Karim A. Benhadji (13 shared papers)
- Journals
- Journal of Clinical Oncology (22 papers)The Journal of Immunology (7 papers)Cancer Research (4 papers)European Journal of Cancer (4 papers)Journal of Molecular Medicine (3 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Michael Lahn
113 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 115
- Immunology 1.5k
- Oncology 1.1k
- Cancer Research 342
- Genetics 217
- Physiology 433
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
Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 236 | |
| 2 | 2016 | 213 | |
| 3 | 1998 | 171 | |
| 4 | 1999 | 148 | |
| 5 | 2006 | 138 | |
| 6 | 2019 | 122 | |
| 7 | 2004 | 111 | |
| 8 | 2001 | 109 | |
| 9 | 2020 | 102 | |
| 10 | Early preferential stimulation of gamma delta T cells by TNF-alpha. | 1998 | 90 |
| 11 | 2010 | 87 | |
| 12 | 2005 | 86 | |
| 13 | 2004 | 82 | |
| 14 | 1998 | 81 | |
| 15 | 2019 | 80 | |
| 16 | 2010 | 80 | |
| 17 | 2003 | 79 | |
| 18 | 2011 | 76 | |
| 19 | 2003 | 65 | |
| 20 | 2002 | 64 |
About Michael Lahn
Michael Lahn is a scholar working on Oncology, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Genetics, having authored 116 papers that have together received 3.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), TGF-β signaling in diseases (15 papers), T-cell and B-cell Immunology (13 papers), Cancer Immunotherapy and Biomarkers (13 papers), Immunotherapy and Immune Responses (12 papers), Asthma and respiratory diseases (12 papers), Pancreatic and Hepatic Oncology Research (11 papers) and PI3K/AKT/mTOR signaling in cancer (10 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (1.1k citations), Cancer Research (342 citations), Genetics (217 citations) and Physiology (433 citations). Michael Lahn has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Willi K. Born, Rebecca L. O’Brien, Ann Cleverly, Erwin W. Gelfand, Akiko Mukasa, Arihiko Kanehiro, Ivelina Gueorguieva, Karim A. Benhadji, Anthony Joetham and Carol Cady. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology, Cancer Research, European Journal of Cancer and Journal of Molecular Medicine.
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.