Anke Van Lierop

432 total citations
9 papers, 236 citations indexed

About

Anke Van Lierop is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Anke Van Lierop has authored 9 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Anke Van Lierop's work include Psoriasis: Treatment and Pathogenesis (2 papers), Head and Neck Cancer Studies (2 papers) and HER2/EGFR in Cancer Research (2 papers). Anke Van Lierop is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (2 papers), Head and Neck Cancer Studies (2 papers) and HER2/EGFR in Cancer Research (2 papers). Anke Van Lierop collaborates with scholars based in Germany, United States and Hungary. Anke Van Lierop's co-authors include H. Bier, Thomas K. Hoffmann, I. Haas, U. Häuser, Vera Balz, Kathrin Scheckenbach, Reidar Grénman, Thomas E. Carey, U Friebe-Hoffmann and Enikö Sonkoly and has published in prestigious journals such as Journal of Investigative Dermatology, Biology of Reproduction and British Journal of Dermatology.

In The Last Decade

Anke Van Lierop

9 papers receiving 234 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anke Van Lierop Germany 7 146 89 47 43 36 9 236
Frank Ziemann Germany 8 113 0.8× 121 1.4× 102 2.2× 57 1.3× 23 0.6× 10 259
Akihisa Kiyota Japan 10 242 1.7× 161 1.8× 67 1.4× 73 1.7× 15 0.4× 11 357
Grace Mann United States 5 92 0.6× 52 0.6× 22 0.5× 99 2.3× 41 1.1× 11 215
Margery Gang United States 6 137 0.9× 109 1.2× 21 0.4× 23 0.5× 83 2.3× 15 289
Elke Veltrup Germany 9 122 0.8× 95 1.1× 11 0.2× 47 1.1× 31 0.9× 22 255
Madison Canning United States 3 198 1.4× 142 1.6× 44 0.9× 63 1.5× 129 3.6× 5 372
Shiau-Chin Liu Taiwan 8 147 1.0× 188 2.1× 38 0.8× 34 0.8× 99 2.8× 8 355
Henri Schmidt United States 7 81 0.6× 83 0.9× 30 0.6× 51 1.2× 39 1.1× 16 230
Blaž Grošelj Slovenia 12 131 0.9× 296 3.3× 18 0.4× 67 1.6× 23 0.6× 19 439
Simone K. Bendtsen Denmark 10 84 0.6× 55 0.6× 98 2.1× 22 0.5× 56 1.6× 16 252

Countries citing papers authored by Anke Van Lierop

Since Specialization
Citations

This map shows the geographic impact of Anke Van Lierop'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 Anke Van Lierop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Van Lierop more than expected).

Fields of papers citing papers by Anke Van Lierop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anke Van Lierop. 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 Anke Van Lierop. The network helps show where Anke Van Lierop may publish in the future.

Co-authorship network of co-authors of Anke Van Lierop

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

All Works

9 of 9 papers shown
1.
Oláh, Péter, Zoltán Rádai, Alex Váradi, et al.. (2025). Microbe–Host Interaction in Rosacea and Its Modulation through Topical Ivermectin. Journal of Investigative Dermatology. 145(10). 2576–2587.e8. 1 indexed citations
2.
Xia, Ping, Lorenzo Pasquali, Ankit Srivastava, et al.. (2022). miR ‐378a regulates keratinocyte responsiveness to interleukin‐17A in psoriasis*. British Journal of Dermatology. 187(2). 211–222. 13 indexed citations
3.
Duan, Yong‐Gang, Bettina Alexandra Buhren, Holger Schrumpf, et al.. (2020). CCL20-CCR6 axis directs sperm–oocyte interaction and its dysregulation correlates/associates with male infertility‡. Biology of Reproduction. 103(3). 630–642. 14 indexed citations
4.
Datsi, Angeliki, Katharina Raba, S Kellermann, et al.. (2019). 029 The IL-31-producing circulating T cells subset represents a unique population of CLA+ CRTH2+ CCR4+ effector memory T cells. Journal of Investigative Dermatology. 139(9). S219–S219. 1 indexed citations
5.
Hoffmann, Thomas K., Enikö Sonkoly, U. Häuser, et al.. (2008). Alterations in the p53 pathway and their association with radio- and chemosensitivity in head and neck squamous cell carcinoma. Oral Oncology. 44(12). 1100–1109. 50 indexed citations
6.
Häuser, U., Vera Balz, Thomas E. Carey, et al.. (2002). Reliable detection of p53 aberrations in squamous cell carcinomas of the head and neck requires transcript analysis of the entire coding region. Head & Neck. 24(9). 868–873. 43 indexed citations
7.
Hoffmann, Thomas K., Hans Bojar, Jürgen Eckel, et al.. (2002). Effects of tamoxifen on human squamous cell carcinoma lines of the head and neck. Anti-Cancer Drugs. 13(5). 521–531. 11 indexed citations
9.
Bier, H., Thomas K. Hoffmann, I. Haas, & Anke Van Lierop. (1998). Anti-(epidermal growth factor) receptor monoclonal antibodies for the induction of antibody-dependent cell-mediated cytotoxicity against squamous cell carcinoma lines of the head and neck. Cancer Immunology Immunotherapy. 46(3). 167–173. 78 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026