Anne E.G. Lenferink

2.5k citations
43 papers · 2.0k indexed · h-index 18

Anne E.G. Lenferink

43 papers receiving 1.9k citations

Peers

Anne E.G. Lenferink
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
Replace Marc Webster with:
Marc Webster Canada
Amol Tandon United States
Thomas Holbro Switzerland
Francisca Maurer Switzerland
Päivikki Kauraniemi Finland
Rainer K. Brachmann United States
Katrien Berns Netherlands
Takashi Shimokawa Japan
Keng‐Hsueh Lan Taiwan
E. Marielle Hijmans Netherlands
Anne E.G. Lenferink relative to Marc Webster Canada Marc Webster's profile →
Citations per field
00.5×1.6×
Marc Webster · 1×
Citations per year

Countries citing papers authored by Anne E.G. Lenferink

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anne E.G. Lenferink Line = papers co-authored together Anne E.G. Lenferink links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 20235
3 202215
4 202015
5 201217
6 201110
7 200974
8 200816
9 200415
10 200315
11
ErbB2/neu kinase modulates cellular p27(Kip1) and cyclin D1 through multiple signaling pathways.
2001156
12 200167
13
Inhibition of HER2/neu (erbB-2) and mitogen-activated protein kinases enhances tamoxifen action against HER2-overexpressing, tamoxifen-resistant breast cancer cells.
2000310
14 2000112
15 200037
16 199875
17 1998322
18 199815
19 19968
20 199523

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.

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