Anne E.G. Lenferink
- Oncology top 2%
- HER2/EGFR in Cancer Research 11
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 10
- TGF-β signaling in diseases 7
- Bioinformatics and Genomic Networks 5
- Cancer-related gene regulation 5
- Gene expression and cancer classification 5
- Cancer Research top 10%
-
- Monoclonal and Polyclonal Antibodies Research 15
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 6
- Co-authors
- Carlos L. ArteagaMaureen D. O'Connor‐McCourtJean F. SimpsonJames T. ForbesMark X. SliwkowskiPaul I. PisacaneHirokazu KurokawaF. Michael Yakes
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (5 papers)Nature Communications (2 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Anne E.G. Lenferink
43 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 90
- Oncology 1.1k
- Molecular Biology 1.3k
- Cancer Research 280
- Radiology, Nuclear Medicine and Imaging 423
- Immunology and Allergy 93
Countries citing papers authored by Anne E.G. Lenferink
This map shows the geographic impact of Anne E.G. Lenferink'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 Anne E.G. Lenferink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne E.G. Lenferink more than expected).
Fields of papers citing papers by Anne E.G. Lenferink
This network shows the impact of papers produced by Anne E.G. Lenferink. 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 Anne E.G. Lenferink. The network helps show where Anne E.G. Lenferink may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anne E.G. Lenferink, 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 | 2023 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 15 | |
| 4 | 2020 | 15 | |
| 5 | 2012 | 17 | |
| 6 | 2011 | 10 | |
| 7 | 2009 | 74 | |
| 8 | 2008 | 16 | |
| 9 | 2004 | 15 | |
| 10 | 2003 | 15 | |
| 11 | ErbB2/neu kinase modulates cellular p27(Kip1) and cyclin D1 through multiple signaling pathways. | 2001 | 156 |
| 12 | 2001 | 67 | |
| 13 | Inhibition of HER2/neu (erbB-2) and mitogen-activated protein kinases enhances tamoxifen action against HER2-overexpressing, tamoxifen-resistant breast cancer cells. | 2000 | 310 |
| 14 | 2000 | 112 | |
| 15 | 2000 | 37 | |
| 16 | 1998 | 75 | |
| 17 | 1998 | 322 | |
| 18 | 1998 | 15 | |
| 19 | 1996 | 8 | |
| 20 | 1995 | 23 |
About Anne E.G. Lenferink
Anne E.G. Lenferink is a scholar working on Immunology and Allergy, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), HER2/EGFR in Cancer Research (11 papers), Glycosylation and Glycoproteins Research (10 papers), TGF-β signaling in diseases (7 papers), Cell Adhesion Molecules Research (6 papers), Bioinformatics and Genomic Networks (5 papers), Cancer-related gene regulation (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Oncology (1.1k citations), Molecular Biology (1.3k citations) and Cancer Research (280 citations). Anne E.G. Lenferink has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Carlos L. Arteaga, Maureen D. O'Connor‐McCourt, Jean F. Simpson, James T. Forbes, Mark X. Sliwkowski, Paul I. Pisacane, Hirokazu Kurokawa, F. Michael Yakes, E. Wang and Edwin Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.