Michael Leserer
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Oncology top 5%
- HER2/EGFR in Cancer Research
Papers in
-
- Receptor Mechanisms and Signaling 3
- Ion channel regulation and function 1
- Protein Kinase Regulation and GTPase Signaling 1
- Oncology 2
- HER2/EGFR in Cancer Research 2
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Esther Zwick (3 shared papers)Norbert Prenzel (3 shared papers)Axel Ullrich (3 shared papers)Reimar Abraham (1 shared paper)Henrik Daub (1 shared paper)Christian Wallasch (1 shared paper)Andreas Gschwind (2 shared papers)A. Ullrich (1 shared paper)
- Journals
- IUBMB Life (1 paper)Jahrbücher für Nationalökonomie und Statistik (1 paper)Oncogene (1 paper)Nature (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- Germany
In The Last Decade
Michael Leserer
4 papers receiving 1.9k citations
Michael Leserer's Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology and Allergy 209
- Oncology 571
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 272
- Cancer Research 205
Countries citing papers authored by Michael Leserer
This map shows the geographic impact of Michael Leserer'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 Leserer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Leserer more than expected).
Fields of papers citing papers by Michael Leserer
This network shows the impact of papers produced by Michael Leserer. 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 Leserer. The network helps show where Michael Leserer may publish in the future.
Co-authors
The 8 scholars most cited alongside Michael Leserer, 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 | EGF receptor transactivation by G-protein-coupled receptors requires metalloproteinase cleavage of proHB-EGF Hit paper breakdown → | 1999 | 1376 |
| 2 | 2001 | 400 | |
| 3 | 2000 | 125 | |
| 4 | 2000 | 62 | |
| 5 | 1986 | 1 |
About Michael Leserer
Michael Leserer is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Immunology and Allergy, having authored 5 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), HER2/EGFR in Cancer Research (2 papers), Cell Adhesion Molecules Research (1 paper), Estrogen and related hormone effects (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Ion channel regulation and function (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Immunology and Allergy (209 citations), Oncology (571 citations), Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (272 citations) and Cancer Research (205 citations). Michael Leserer has collaborated with scholars based in Germany. Frequent co-authors include Esther Zwick, Norbert Prenzel, Axel Ullrich, Reimar Abraham, Henrik Daub, Christian Wallasch, Andreas Gschwind and A. Ullrich. Their work appears in journals such as IUBMB Life, Jahrbücher für Nationalökonomie und Statistik, Oncogene, Nature and Breast Cancer Research.
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.