Heinz Ruffner

10.5k total citations · 1 hit paper
19 papers, 2.9k citations indexed

About

Heinz Ruffner is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Heinz Ruffner has authored 19 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Oncology. Recurrent topics in Heinz Ruffner's work include interferon and immune responses (4 papers), CRISPR and Genetic Engineering (4 papers) and BRCA gene mutations in cancer (3 papers). Heinz Ruffner is often cited by papers focused on interferon and immune responses (4 papers), CRISPR and Genetic Engineering (4 papers) and BRCA gene mutations in cancer (3 papers). Heinz Ruffner collaborates with scholars based in Switzerland, United States and Germany. Heinz Ruffner's co-authors include Inder M. Verma, Tewis Bouwmeester, Luiz F. L. Reis, Stephanie Mathes, Ursula Graf‐Hausner, Claudio A.P. Joazeiro, Tony Hunter, Tony Hunter, Charles Weissmann and Feng Cong and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Heinz Ruffner

18 papers receiving 2.9k citations

Hit Papers

ZNRF3 promotes Wnt receptor turnover in an R-spondin-sens... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heinz Ruffner Switzerland 17 1.8k 811 618 586 310 19 2.9k
Shawn T. Estrem United States 22 1.6k 0.9× 1.0k 1.3× 405 0.7× 572 1.0× 302 1.0× 30 2.6k
Elizabeth L. Buza United States 27 1.4k 0.8× 1.1k 1.3× 523 0.8× 905 1.5× 250 0.8× 48 2.9k
Gordon Parry United States 22 1.6k 0.9× 790 1.0× 581 0.9× 504 0.9× 337 1.1× 49 3.5k
Wim de Lau Netherlands 15 3.2k 1.8× 1.6k 2.0× 334 0.5× 837 1.4× 389 1.3× 20 4.5k
Ulrike Novak Australia 33 1.6k 0.9× 1.3k 1.6× 761 1.2× 701 1.2× 350 1.1× 61 3.3k
Cathleen R. Carlin United States 31 1.8k 1.0× 632 0.8× 375 0.6× 695 1.2× 211 0.7× 71 2.9k
H. Francis United States 2 1.5k 0.9× 634 0.8× 377 0.6× 172 0.3× 421 1.4× 2 2.7k
Chloé C. Féral France 27 1.6k 0.9× 888 1.1× 501 0.8× 186 0.3× 546 1.8× 59 2.9k
Masatoshi Tagawa Japan 35 2.3k 1.3× 1.7k 2.1× 1.5k 2.4× 1.0k 1.7× 564 1.8× 210 4.6k
Gaetano Romano United States 27 2.1k 1.2× 723 0.9× 413 0.7× 704 1.2× 450 1.5× 80 3.3k

Countries citing papers authored by Heinz Ruffner

Since Specialization
Citations

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

Fields of papers citing papers by Heinz Ruffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heinz Ruffner

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

All Works

19 of 19 papers shown
1.
Sun, Tianliang, Monika Pikiolek, Vanessa Orsini, et al.. (2019). AXIN2+ Pericentral Hepatocytes Have Limited Contributions to Liver Homeostasis and Regeneration. Cell stem cell. 26(1). 97–107.e6. 113 indexed citations
2.
Fisch, Andreas, Klaus Seuwen, Birgit Baumgarten, et al.. (2018). Glucocorticoid-loaded liposomes induce a pro-resolution phenotype in human primary macrophages to support chronic wound healing. Biomaterials. 178. 481–495. 56 indexed citations
3.
Mélin, Nicolas, Monika Pikiolek, Judith Knehr, et al.. (2017). Screening of Intestinal Crypt Organoids: A Simple Readout for Complex Biology. SLAS DISCOVERY. 22(5). 571–582. 11 indexed citations
4.
Stein, Claudia, Tanja Blumer, Yann Abraham, et al.. (2015). YAP promotes proliferation, chemoresistance, and angiogenesis in human cholangiocarcinoma through TEAD transcription factors. Hepatology. 62(5). 1497–1510. 175 indexed citations
5.
Kinzel, Bernd, Monika Pikiolek, Vanessa Orsini, et al.. (2014). Functional roles of Lgr4 and Lgr5 in embryonic gut, kidney and skin development in mice. Developmental Biology. 390(2). 181–190. 75 indexed citations
6.
Mathes, Stephanie, Heinz Ruffner, & Ursula Graf‐Hausner. (2014). The use of skin models in drug development. Advanced Drug Delivery Reviews. 69-70. 81–102. 234 indexed citations
7.
Brauchle, Michael, Rishi Arora, Ieuan Clay, et al.. (2013). Protein Complex Interactor Analysis and Differential Activity of KDM3 Subfamily Members Towards H3K9 Methylation. PLoS ONE. 8(4). e60549–e60549. 62 indexed citations
9.
Hao, Huai-Xiang, Yang Xie, Yue Zhang, et al.. (2012). ZNRF3 promotes Wnt receptor turnover in an R-spondin-sensitive manner. Nature. 485(7397). 195–200. 709 indexed citations breakdown →
10.
Ruffner, Heinz, Andreas Bauer, & Tewis Bouwmeester. (2007). Human protein–protein interaction networks and the value for drug discovery. Drug Discovery Today. 12(17-18). 709–716. 85 indexed citations
11.
Ruffner, Heinz, et al.. (2001). Cancer-predisposing mutations within the RING domain of BRCA1: Loss of ubiquitin protein ligase activity and protection from radiation hypersensitivity. Proceedings of the National Academy of Sciences. 98(9). 5134–5139. 296 indexed citations
12.
Pao, Gerald M., Ralf Janknecht, Heinz Ruffner, Tony Hunter, & Inder M. Verma. (2000). CBP/p300 interact with and function as transcriptional coactivators of BRCA1. Proceedings of the National Academy of Sciences. 97(3). 1020–1025. 179 indexed citations
13.
Ruffner, Heinz, Wei Jiang, Anne Craig, Tony Hunter, & Inder M. Verma. (1999). BRCA1 Is Phosphorylated at Serine 1497 In Vivo at a Cyclin-Dependent Kinase 2 Phosphorylation Site. Molecular and Cellular Biology. 19(7). 4843–4854. 99 indexed citations
14.
Ruffner, Heinz & Inder M. Verma. (1997). BRCA1 is a cell cycle-regulated nuclear phosphoprotein. Proceedings of the National Academy of Sciences. 94(14). 7138–7143. 170 indexed citations
15.
Wright, Kenneth L., Nathan Felix, Heinz Ruffner, et al.. (1996). Regulation of LMP2 and TAP1 Genes by IRF-1 Explains the Paucity of CD8+ T Cells in IRF-1−/− Mice. Immunity. 5(4). 365–376. 140 indexed citations
16.
Briken, Volker, Heinz Ruffner, Ursula Schultz, et al.. (1995). Interferon Regulatory Factor 1 Is Required for Mouse Gbp Gene Activation by Gamma Interferon. Molecular and Cellular Biology. 15(2). 975–982. 132 indexed citations
17.
Reis, Luiz F. L., Heinz Ruffner, Gerlinde Stark, Michel Aguet, & Charles Weissmann. (1994). Mice devoid of interferon regulatory factor 1 (IRF-1) show normal expression of type I interferon genes.. The EMBO Journal. 13(20). 4798–4806. 169 indexed citations
18.
Ruffner, Heinz, Luiz F. L. Reis, Dieter Näf, & C. Weissmann. (1993). Induction of type I interferon genes and interferon-inducible genes in embryonal stem cells devoid of interferon regulatory factor 1.. Proceedings of the National Academy of Sciences. 90(24). 11503–11507. 75 indexed citations
19.
MacDonald, Nicholas J., Dietmar Kuhl, Deborah Maguire, et al.. (1990). Different pathways mediate virus inducibility of the human IFN-α1 and IFN-β genes. Cell. 60(5). 767–779. 149 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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