Peter Angel
Impact in
- Cancer Research top 0.05%
- NF-κB Signaling Pathways
- Protease and Inhibitor Mechanisms
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research
Papers in
-
- Ubiquitin and proteasome pathways 20
- S100 Proteins and Annexins 14
- Bone Metabolism and Diseases 13
- Cancer-related gene regulation 12
-
- Protease and Inhibitor Mechanisms 23
- NF-κB Signaling Pathways 20
- Co-authors
- Michael Karin (18 shared papers)Peter Herrlich (23 shared papers)Marina Schorpp‐Kistner (33 shared papers)Jochen Heß (36 shared papers)Hans J. Rahmsdorf (14 shared papers)Kazue Hattori (6 shared papers)Bernd Stein (5 shared papers)Robert Chiu (3 shared papers)
- Journals
- Molecular and Cellular Biology (13 papers)Journal of Investigative Dermatology (11 papers)International Journal of Cancer (10 papers)The EMBO Journal (10 papers)Oncogene (9 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Peter Angel
192 papers receiving 29.4k citations
Peter Angel's Hit Papers
Peers
Comparison fields: 5 of 162
- Cancer Research 5.9k
- Immunology and Allergy 1.6k
- Molecular Biology 17.7k
- Immunology 4.9k
- Oncology 5.9k
Countries citing papers authored by Peter Angel
This map shows the geographic impact of Peter Angel'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 Peter Angel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Angel more than expected).
Fields of papers citing papers by Peter Angel
This network shows the impact of papers produced by Peter Angel. 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 Peter Angel. The network helps show where Peter Angel may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Angel, 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 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The role of Jun, Fos and the AP-1 complex in cell-proliferation and transformation Hit paper breakdown → | 1991 | 3137 |
| 2 | Phorbol ester-inducible genes contain a common cis element recognized by a TPA-modulated trans-acting factor Hit paper breakdown → | 1987 | 2860 |
| 3 | The jun proto-oncogene is positively autoregulated by its product, Jun/AP-1 Hit paper breakdown → | 1988 | 1177 |
| 4 | Transforming growth factor beta modulates the expression of collagenase and metalloproteinase inhibitor. Hit paper breakdown → | 1987 | 1152 |
| 5 | AP-1 subunits: quarrel and harmony among siblings Hit paper breakdown → | 2004 | 1044 |
| 6 | Activation of protein kinase C decreases phosphorylation of c-Jun at sites that negatively regulate its DNA-binding activity Hit paper breakdown → | 1991 | 984 |
| 7 | DNA Binding of the Glucocorticoid Receptor Is Not Essential for Survival Hit paper breakdown → | 1998 | 928 |
| 8 | Oncogene jun encodes a sequence-specific trans- activator similar to AP-1 Hit paper breakdown → | 1988 | 893 |
| 9 | Prolonged activation of jun and collagenase genes by tumour necrosis factor-α Hit paper breakdown → | 1989 | 679 |
| 10 | 12-O-tetradecanoyl-phorbol-13-acetate induction of the human collagenase gene is mediated by an inducible enhancer element located in the 5'-flanking region. Hit paper breakdown → | 1987 | 658 |
| 11 | Jun-B differs in its biological properties from, and is a negative regulator of, c-Jun Hit paper breakdown → | 1989 | 650 |
| 12 | Autoinduction of transforming growth factor beta 1 is mediated by the AP-1 complex. Hit paper breakdown → | 1990 | 609 |
| 13 | S100A8 and S100A9 in inflammation and cancer Hit paper breakdown → | 2006 | 593 |
| 14 | Cross‐coupling of the NF‐kappa B p65 and Fos/Jun transcription factors produces potentiated biological function. Hit paper breakdown → | 1993 | 588 |
| 15 | ATF‐2 is preferentially activated by stress‐activated protein kinases to mediate c‐jun induction in response to genotoxic agents. Hit paper breakdown → | 1995 | 566 |
| 16 | Altered endochondral bone development in matrix metalloproteinase 13-deficient mice Hit paper breakdown → | 2004 | 518 |
| 17 | 2005 | 497 | |
| 18 | 1986 | 422 | |
| 19 | 2000 | 367 | |
| 20 | 2001 | 364 |
About Peter Angel
Peter Angel is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Cell Biology, having authored 193 papers that have together received 30.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (23 papers), Ubiquitin and proteasome pathways (20 papers), NF-κB Signaling Pathways (20 papers), Cell Adhesion Molecules Research (17 papers), Virus-based gene therapy research (14 papers), S100 Proteins and Annexins (14 papers), Bone Metabolism and Diseases (13 papers) and Cancer-related gene regulation (12 papers). The work is most often cited by research in Cancer Research (5.9k citations), Immunology and Allergy (1.6k citations), Molecular Biology (17.7k citations), Immunology (4.9k citations) and Oncology (5.9k citations). Peter Angel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Michael Karin, Peter Herrlich, Marina Schorpp‐Kistner, Jochen Heß, Hans J. Rahmsdorf, Kazue Hattori, Bernd Stein, Robert Chiu, Tod Smeal and Richard J. Imbra. Their work appears in journals such as Molecular and Cellular Biology, Journal of Investigative Dermatology, International Journal of Cancer, The EMBO Journal and Oncogene.
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.