A. Ullrich
Impact in
- Immunology and Allergy top 0.1%
- Cell Adhesion Molecules Research
- Oncology top 0.05%
- HER2/EGFR in Cancer Research
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 36
- Glycosylation and Glycoproteins Research 35
- Receptor Mechanisms and Signaling 22
- Metabolism, Diabetes, and Cancer 19
- Oncology 58
- HER2/EGFR in Cancer Research 44
- Co-authors
- Joseph Schlessinger (67 shared papers)Yosef Yarden (1 shared paper)Reiner Lammers (23 shared papers)Ben Margolis (12 shared papers)Esther Zwick (5 shared papers)Teresa L. Yang‐Feng (3 shared papers)Yosef Yarden (5 shared papers)Norbert Prenzel (4 shared papers)
- Journals
- Journal of Biological Chemistry (36 papers)The EMBO Journal (31 papers)Proceedings of the National Academy of Sciences (16 papers)Molecular and Cellular Biology (13 papers)Cell (5 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
A. Ullrich
193 papers receiving 32.1k citations
A. Ullrich's Hit Papers
Peers
Comparison fields: 5 of 154
- Immunology and Allergy 2.1k
- Oncology 8.7k
- Molecular Biology 21.9k
- Radiology, Nuclear Medicine and Imaging 4.8k
- Cell Biology 3.7k
Countries citing papers authored by A. Ullrich
This map shows the geographic impact of A. Ullrich'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 A. Ullrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Ullrich more than expected).
Fields of papers citing papers by A. Ullrich
This network shows the impact of papers produced by A. Ullrich. 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 A. Ullrich. The network helps show where A. Ullrich may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Ullrich, 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 194 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Close similarity of epidermal growth factor receptor and v-erb-B oncogene protein sequences Hit paper breakdown → | 1984 | 2060 |
| 2 | Insulin‐like growth factor I receptor primary structure: comparison with insulin receptor suggests structural determinants that define functional specificity. Hit paper breakdown → | 1986 | 1581 |
| 3 | GROWTH FACTOR RECEPTOR TYROSINE KINASES Hit paper breakdown → | 1988 | 1559 |
| 4 | The SH2 and SH3 domain-containing protein GRB2 links receptor tyrosine kinases to ras signaling Hit paper breakdown → | 1992 | 1397 |
| 5 | Human proto‐oncogene c‐kit: a new cell surface receptor tyrosine kinase for an unidentified ligand. Hit paper breakdown → | 1987 | 1387 |
| 6 | Growth factor signaling by receptor tyrosine kinases Hit paper breakdown → | 1992 | 1250 |
| 7 | Structure of the receptor for platelet-derived growth factor helps define a family of closely related growth factor receptors Hit paper breakdown → | 1986 | 1059 |
| 8 | SU5416 is a potent and selective inhibitor of the vascular endothelial growth factor receptor (Flk-1/KDR) that inhibits tyrosine kinase catalysis, tumor vascularization, and growth of multiple tumor types. Hit paper breakdown → | 1999 | 885 |
| 9 | EGF induces tyrosine phosphorylation of phospholipase C-II: A potential mechanism for EGF receptor signaling Hit paper breakdown → | 1989 | 716 |
| 10 | The SH2/SH3 domain‐containing protein GRB2 interacts with tyrosine‐phosphorylated IRS1 and Shc: implications for insulin control of ras signalling. Hit paper breakdown → | 1993 | 630 |
| 11 | Cloning of PI3 kinase-associated p85 utilizing a novel method for expression/cloning of target proteins for receptor tyrosine kinases Hit paper breakdown → | 1991 | 580 |
| 12 | The epidermal growth factor receptor family as a central element for cellular signal transduction and diversification. Hit paper breakdown → | 2001 | 552 |
| 13 | Epidermal growth factor receptors: critical mediators of multiple receptor pathways Hit paper breakdown → | 1999 | 507 |
| 14 | Up-regulation of vascular endothelial growth factor and its cognate receptors in a rat glioma model of tumor angiogenesis. | 1993 | 439 |
| 15 | 1996 | 437 | |
| 16 | 1987 | 406 | |
| 17 | 1989 | 402 | |
| 18 | 1990 | 380 | |
| 19 | 2003 | 331 | |
| 20 | 1995 | 327 |
About A. Ullrich
A. Ullrich is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Surgery and Cell Biology, having authored 194 papers that have together received 33.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (58 papers), HER2/EGFR in Cancer Research (44 papers), Protein Kinase Regulation and GTPase Signaling (36 papers), Glycosylation and Glycoproteins Research (35 papers), Receptor Mechanisms and Signaling (22 papers), Pancreatic function and diabetes (21 papers), Metabolism, Diabetes, and Cancer (19 papers) and Growth Hormone and Insulin-like Growth Factors (18 papers). The work is most often cited by research in Immunology and Allergy (2.1k citations), Oncology (8.7k citations), Molecular Biology (21.9k citations), Radiology, Nuclear Medicine and Imaging (4.8k citations) and Cell Biology (3.7k citations). A. Ullrich has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Joseph Schlessinger, Yosef Yarden, Reiner Lammers, Ben Margolis, Esther Zwick, Teresa L. Yang‐Feng, Yosef Yarden, Norbert Prenzel, Edward Y. Skolnik and Thomas J. Dull. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Cell.
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.