A. Ullrich

38.9k total citations · 13 hit papers
193 papers, 33.0k citations indexed

About

A. Ullrich is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, A. Ullrich has authored 193 papers receiving a total of 33.0k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Molecular Biology, 58 papers in Oncology and 57 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in A. Ullrich's work include Monoclonal and Polyclonal Antibodies Research (57 papers), HER2/EGFR in Cancer Research (44 papers) and Protein Kinase Regulation and GTPase Signaling (36 papers). A. Ullrich is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (57 papers), HER2/EGFR in Cancer Research (44 papers) and Protein Kinase Regulation and GTPase Signaling (36 papers). A. Ullrich collaborates with scholars based in Germany, United States and United Kingdom. A. Ullrich's co-authors include Joseph Schlessinger, Yosef Yarden, Reiner Lammers, Ben Margolis, Esther Zwick, Yosef Yarden, Teresa L. Yang‐Feng, Norbert Prenzel, Edward Y. Skolnik and Thomas J. Dull and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

A. Ullrich

192 papers receiving 31.8k citations

Hit Papers

Close similarity of epide... 1984 2026 1998 2012 1984 1986 1988 1992 1987 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A. Ullrich 22.5k 9.0k 4.9k 4.3k 3.8k 193 33.0k
Michael D. Waterfield 20.8k 0.9× 7.2k 0.8× 3.8k 0.8× 4.3k 1.0× 5.2k 1.4× 187 32.3k
Bengt Westermark 16.4k 0.7× 5.4k 0.6× 1.8k 0.4× 3.5k 0.8× 4.0k 1.1× 340 29.1k
Yosef Yarden 23.1k 1.0× 16.8k 1.9× 9.3k 1.9× 4.4k 1.0× 4.3k 1.1× 262 37.4k
William J. Henzel 16.3k 0.7× 4.2k 0.5× 1.3k 0.3× 6.4k 1.5× 2.4k 0.6× 117 28.6k
Julian Downward 30.1k 1.3× 11.4k 1.3× 2.6k 0.5× 5.1k 1.2× 5.9k 1.6× 292 41.7k
Axel Ullrich 32.2k 1.4× 23.0k 2.5× 11.9k 2.4× 8.3k 1.9× 4.6k 1.2× 257 55.6k
Paolo M. Comoglio 19.9k 0.9× 8.5k 0.9× 1.5k 0.3× 3.4k 0.8× 4.8k 1.3× 403 35.5k
Lena Claesson‐Welsh 22.2k 1.0× 6.9k 0.8× 1.6k 0.3× 3.5k 0.8× 4.8k 1.3× 256 32.3k
Enrique Rozengurt 22.2k 1.0× 5.1k 0.6× 915 0.2× 2.4k 0.5× 5.2k 1.4× 504 32.9k
Peter Herrlich 20.6k 0.9× 6.3k 0.7× 941 0.2× 4.4k 1.0× 6.9k 1.8× 263 32.6k

Countries citing papers authored by A. Ullrich

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of A. Ullrich

This figure shows the co-authorship network connecting the top 25 collaborators of A. Ullrich. A scholar is included among the top collaborators of A. Ullrich 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 A. Ullrich. A. Ullrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Zwick, Esther, Johannes Bange, & A. Ullrich. (2001). Receptor tyrosine kinase signalling as a target for cancer intervention strategies.. Endocrine Related Cancer. 8(3). 161–173. 293 indexed citations
3.
Steták, Attila, et al.. (2001). Physical and Functional Interactions between Protein Tyrosine Phosphatase α, PI 3-Kinase, and PKCδ. Biochemical and Biophysical Research Communications. 288(3). 564–572. 32 indexed citations
4.
Cant, Charles & A. Ullrich. (2001). Signal regulation by family conspiracy. Cellular and Molecular Life Sciences. 58(1). 117–124. 48 indexed citations
5.
Zwick, Esther, Esther Zwick, Norbert Prenzel, et al.. (1999). The EGF receptor as central transducer of heterologous signalling systems. Trends in Pharmacological Sciences. 20(10). 408–412. 293 indexed citations
6.
Kubota, Yoshiyuki, et al.. (1998). Activation of phosphatidylinositol 3-kinase is necessary for differentiation of FDC-P1 cells following stimulation of type III receptor tyrosine kinases.. PubMed. 9(3). 247–56. 25 indexed citations
7.
Fusco, O., et al.. (1998). 90K (Mac-2 BP) gene expression in breast cancer and evidence for the production of 90K by peripheral-blood mononuclear cells. International Journal of Cancer. 79(1). 23–26. 31 indexed citations
9.
Wallasch, Christian, et al.. (1995). Heregulin-dependent regulation of HER2/neu oncogenic signaling by heterodimerization with HER3.. The EMBO Journal. 14(17). 4267–4275. 327 indexed citations
10.
Jallal, Bahija, Joseph Schlessinger, & A. Ullrich. (1992). Tyrosine phosphatase inhibition permits analysis of signal transduction complexes in p185HER2/neu-overexpressing human tumor cells.. Journal of Biological Chemistry. 267(7). 4357–4363. 48 indexed citations
11.
Hu, Patrick J, Ben Margolis, E. Y. Skolnik, et al.. (1992). Interaction of Phosphatidylinositol 3-Kinase-Associated p85 with Epidermal Growth Factor and Platelet-Derived Growth Factor Receptors. Molecular and Cellular Biology. 12(3). 981–990. 94 indexed citations
12.
Scott, G K, R. M. Johnson, Jay Sarup, et al.. (1991). p185HER2 signal transduction in breast cancer cells. Journal of Biological Chemistry. 266(22). 14300–14305. 83 indexed citations
13.
Hudziak, Robert M. & A. Ullrich. (1991). Cell transformation potential of a HER2 transmembrane domain deletion mutant retained in the endoplasmic reticulum.. Journal of Biological Chemistry. 266(35). 24109–24115. 26 indexed citations
14.
Stancovski, Ilana, Esther Hurwitz, O. Leitner, et al.. (1991). Mechanistic aspects of the opposing effects of monoclonal antibodies to the ERBB2 receptor on tumor growth.. Proceedings of the National Academy of Sciences. 88(19). 8691–8695. 180 indexed citations
16.
Lax, Irit, R. Fischer, Chee H. Ng, et al.. (1991). Noncontiguous regions in the extracellular domain of EGF receptor define ligand-binding specificity.. PubMed. 2(5). 337–345. 46 indexed citations
17.
Hazan, Rachel B., et al.. (1990). Identification of autophosphorylation sites of HER2/neu.. PubMed. 1(1). 3–7. 72 indexed citations
18.
Dull, Thomas J., et al.. (1989). HER2 cytoplasmic domain generates normal mitogenic and transforming signals in a chimeric receptor.. The EMBO Journal. 8(1). 167–173. 126 indexed citations
19.
Hudziak, Robert M., Gail D. Lewis Phillips, M R Shalaby, et al.. (1988). Amplified expression of the HER2/ERBB2 oncogene induces resistance to tumor necrosis factor alpha in NIH 3T3 cells.. Proceedings of the National Academy of Sciences. 85(14). 5102–5106. 121 indexed citations
20.
Gullick, William J., Julian Downward, Peter J. Parker, et al.. (1985). The structure and function of the epidermal growth factor receptor studied by using antisynthetic peptide antibodies. Proceedings of the Royal Society of London. Series B, Biological sciences. 226(1242). 127–134. 35 indexed citations

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.

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