Anton Berns

7.7k total citations · 4 hit papers
29 papers, 5.5k citations indexed

About

Anton Berns is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Anton Berns has authored 29 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Oncology and 8 papers in Genetics. Recurrent topics in Anton Berns's work include Cancer-related Molecular Pathways (8 papers), Epigenetics and DNA Methylation (5 papers) and Cancer Research and Treatments (4 papers). Anton Berns is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Epigenetics and DNA Methylation (5 papers) and Cancer Research and Treatments (4 papers). Anton Berns collaborates with scholars based in Netherlands, United States and United Kingdom. Anton Berns's co-authors include Jos Jonkers, Hanneke van der Gulden, Peter W. Laird, Rudolf Jaenisch, Michael A. Rudnicki, Hein te Riele, Silvia Marino, Martin van der Valk, Marc Vooijs and Ralph Meuwissen and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Anton Berns

29 papers receiving 5.5k citations

Hit Papers

Simplified mammalian DNA isolation procedure 1991 2026 2002 2014 1991 2001 1995 2000 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anton Berns Netherlands 24 3.7k 1.8k 948 902 730 29 5.5k
David Wotton United States 33 5.5k 1.5× 1.2k 0.6× 907 1.0× 681 0.8× 412 0.6× 72 6.7k
Antonio Postigo Spain 40 5.0k 1.3× 2.8k 1.5× 725 0.8× 1.2k 1.3× 493 0.7× 74 7.7k
Nicholas C. Dracopoli United States 37 4.2k 1.1× 2.8k 1.6× 1.9k 2.0× 1.6k 1.7× 564 0.8× 88 7.6k
János Sümegi United States 40 3.2k 0.9× 1.2k 0.6× 788 0.8× 530 0.6× 457 0.6× 138 6.0k
Tôru Kondo Japan 36 3.5k 0.9× 1.7k 0.9× 468 0.5× 1.2k 1.3× 315 0.4× 88 6.0k
Ruben van Boxtel Netherlands 30 2.7k 0.7× 1.7k 1.0× 700 0.7× 1.4k 1.6× 509 0.7× 84 5.0k
Brigitte Royer‐Pokora Germany 37 3.8k 1.0× 598 0.3× 1.3k 1.4× 502 0.6× 422 0.6× 118 5.5k
Arthur M. Buchberg United States 37 3.7k 1.0× 702 0.4× 1.3k 1.4× 408 0.5× 608 0.8× 77 6.3k
Eli Canaani United States 59 8.6k 2.3× 1.2k 0.6× 1.6k 1.7× 718 0.8× 538 0.7× 93 12.3k
S Munemitsu United States 24 5.1k 1.4× 1.3k 0.7× 893 0.9× 382 0.4× 1.1k 1.5× 28 7.1k

Countries citing papers authored by Anton Berns

Since Specialization
Citations

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

Fields of papers citing papers by Anton Berns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anton Berns. 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 Anton Berns. The network helps show where Anton Berns may publish in the future.

Co-authorship network of co-authors of Anton Berns

This figure shows the co-authorship network connecting the top 25 collaborators of Anton Berns. A scholar is included among the top collaborators of Anton Berns 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 Anton Berns. Anton Berns 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
1.
Quispel-Janssen, Josine M.M.F., Jitendra Badhai, Stacey Price, et al.. (2017). Comprehensive Pharmacogenomic Profiling of Malignant Pleural Mesothelioma Identifies a Subgroup Sensitive to FGFR Inhibition. Clinical Cancer Research. 24(1). 84–94. 32 indexed citations
2.
Song, Ji‐Ying, et al.. (2014). Multiple cells-of-origin of mutant K-Ras–induced mouse lung adenocarcinoma. Proceedings of the National Academy of Sciences. 111(13). 4952–4957. 174 indexed citations
3.
Kool, Jaap, Anthony G. Uren, Jeroen de Ridder, et al.. (2010). Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach. Cancer Research. 70(3). 883–895. 34 indexed citations
4.
Lehembre, François, M. Deniz Yilmaz, Andreas Wicki, et al.. (2008). NCAM‐induced focal adhesion assembly: a functional switch upon loss of E‐cadherin. The EMBO Journal. 27(19). 2603–2615. 156 indexed citations
5.
Liao, Chun‐Peng, Zhong Chen, James R. Bading, et al.. (2007). Mouse Models of Prostate Adenocarcinoma with the Capacity to Monitor Spontaneous Carcinogenesis by Bioluminescence or Fluorescence. Cancer Research. 67(15). 7525–7533. 62 indexed citations
6.
Amerongen, Renée van & Anton Berns. (2006). TXR1-mediated thrombospondin repression: a novel mechanism of resistance to taxanes?. Genes & Development. 20(15). 1975–1981. 16 indexed citations
7.
Liu, Xiaoling, Patrick W.B. Derksen, Bastiaan Evers, et al.. (2005). Conditional mouse models of breast cancer. Cancer Research. 65. 250–251. 1 indexed citations
8.
Luiten, Rosalie M., Esther W. M. Kueter, Wolter J. Mooi, et al.. (2005). Immunogenicity, Including Vitiligo, and Feasibility of Vaccination With AutologousGM-CSF–Transduced Tumor Cells in Metastatic Melanoma Patients. Journal of Clinical Oncology. 23(35). 8978–8991. 90 indexed citations
9.
Marino, Silvia, et al.. (2003). Rb and p107 are required for normal cerebellar development and granule cell survival but not for Purkinje cell persistence. Development. 130(15). 3359–3368. 49 indexed citations
10.
Jonkers, Jos, Ralph Meuwissen, Hanneke van der Gulden, et al.. (2001). Synergistic tumor suppressor activity of BRCA2 and p53 in a conditional mouse model for breast cancer. Nature Genetics. 29(4). 418–425. 794 indexed citations breakdown →
11.
Krimpenfort, Paul, et al.. (2001). Loss of p16Ink4a confers susceptibility to metastatic melanoma in mice. Nature. 413(6851). 83–86. 440 indexed citations
12.
Meuwissen, Ralph, Jos Jonkers, & Anton Berns. (2001). Mouse Models for Sporadic Cancer. Experimental Cell Research. 264(1). 100–110. 25 indexed citations
13.
Berns, Katrien, Carla P. Martins, Jan‐Hermen Dannenberg, et al.. (2000). p27kip1-independent cell cycle regulation by MYC. Oncogene. 19(42). 4822–4827. 24 indexed citations
14.
Vooijs, Marc, Martin van der Valk, Hein te Riele, & Anton Berns. (1998). Flp-mediated tissue-specific inactivation of the retinoblastoma tumor suppressor gene in the mouse. Oncogene. 17(1). 1–12. 122 indexed citations
15.
Lugt, Nathalie M. T. van der, Mark J. Alkema, Anton Berns, & Jacqueline Deschamps. (1996). The Polycomb-group homolog Bmi-1 is a regulator of murine Hox gene expression. Mechanisms of Development. 58(1-2). 153–164. 114 indexed citations
16.
Wind, Niels de, Marleen Dekker, Anton Berns, Miroslav Radman, & Hein te Riele. (1995). Inactivation of the mouse Msh2 gene results in mismatch repair deficiency, methylation tolerance, hyperrecombination, and predisposition to cancer. Cell. 82(2). 321–330. 679 indexed citations breakdown →
17.
Berns, Anton. (1994). Cancer Genetics: Is p53 the only real tumor suppressor gene?. Current Biology. 4(2). 137–139. 16 indexed citations
18.
Laird, Peter W., Nathalie M. T. van der Lugt, Alan R. Clarke, et al.. (1993). In vivo analysis of Pim-1 deficiency. Nucleic Acids Research. 21(20). 4750–4755. 102 indexed citations
19.
Laird, Peter W., et al.. (1991). Simplified mammalian DNA isolation procedure. Nucleic Acids Research. 19(15). 4293–4293. 1336 indexed citations breakdown →
20.
Lohuizen, Maarten van & Anton Berns. (1990). Tumurigenesis by slow-transforming retroviruses—an update. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1032(2-3). 213–235. 96 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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