Dieter Näf

1.9k total citations
23 papers, 1.4k citations indexed

About

Dieter Näf is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Dieter Näf has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Immunology. Recurrent topics in Dieter Näf's work include DNA Repair Mechanisms (9 papers), CRISPR and Genetic Engineering (6 papers) and interferon and immune responses (4 papers). Dieter Näf is often cited by papers focused on DNA Repair Mechanisms (9 papers), CRISPR and Genetic Engineering (6 papers) and interferon and immune responses (4 papers). Dieter Näf collaborates with scholars based in United States, Switzerland and Japan. Dieter Näf's co-authors include Alan D. D’Andrea, Gary M. Kupfer, Irene García-Higuera, Yanan Kuang, Charles Weissmann, Michael A. Pulsipher, Takayuki Yamashita, Shigetaka Asano, Heinz Ruffner and Kathleen F. Lambert and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Dieter Näf

23 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dieter Näf United States 18 1.0k 424 301 298 189 23 1.4k
Lisa D. McDaniel United States 16 1.2k 1.2× 341 0.8× 494 1.6× 246 0.8× 284 1.5× 33 1.8k
Tsukasa Oda Japan 24 853 0.8× 152 0.4× 280 0.9× 205 0.7× 139 0.7× 70 1.5k
A. Gutman France 8 899 0.9× 429 1.0× 165 0.5× 353 1.2× 213 1.1× 9 1.3k
M Pettersson Sweden 21 1.3k 1.3× 166 0.4× 229 0.8× 424 1.4× 279 1.5× 25 1.8k
Ludovic Deriano France 20 1.3k 1.2× 200 0.5× 347 1.2× 515 1.7× 130 0.7× 33 1.6k
Régina de Chasseval France 16 1.5k 1.4× 317 0.7× 715 2.4× 612 2.1× 285 1.5× 17 2.0k
Emer Bourke Ireland 18 907 0.9× 227 0.5× 503 1.7× 342 1.1× 157 0.8× 23 1.6k
Xiantuo Wu United States 10 1.4k 1.3× 248 0.6× 153 0.5× 365 1.2× 240 1.3× 10 1.6k
Kun-Sang Chang United States 16 1.2k 1.2× 142 0.3× 302 1.0× 375 1.3× 206 1.1× 17 1.6k
Eric Weterings United States 15 1.4k 1.4× 278 0.7× 84 0.3× 504 1.7× 134 0.7× 20 1.6k

Countries citing papers authored by Dieter Näf

Since Specialization
Citations

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

Fields of papers citing papers by Dieter Näf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dieter Näf

This figure shows the co-authorship network connecting the top 25 collaborators of Dieter Näf. A scholar is included among the top collaborators of Dieter Näf 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 Dieter Näf. Dieter Näf 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.
Redon, Christophe E., Jennifer S. Dickey, Asako Nakamura, et al.. (2010). Tumors induce complex DNA damage in distant proliferative tissues in vivo. Proceedings of the National Academy of Sciences. 107(42). 17992–17997. 111 indexed citations
2.
Redon, Christophe E., Jennifer S. Dickey, Asako Nakamura, et al.. (2010). Abstract 2287: Tumors induce complex DNA damage in distant proliferative tissues in vivo. Cancer Research. 70(8_Supplement). 2287–2287. 3 indexed citations
3.
Köentgen, Frank, et al.. (2009). Engineering the Mouse Genome to Model Human Disease for Drug Discovery. Methods in molecular biology. 602. 55–77. 13 indexed citations
4.
Cheever, Thomas R., Katherine Volzing, Terry P. Yamaguchi, et al.. (2008). Secreted frizzled related protein 1 is a paracrine modulator of epithelial branching morphogenesis, proliferation, and secretory gene expression in the prostate. Developmental Biology. 317(1). 161–173. 40 indexed citations
5.
Krupke, Debra M., Dieter Näf, Matthew Vincent, et al.. (2005). THE MOUSE TUMOR BIOLOGY DATABASE: INTEGRATED ACCESS TO MOUSE CANCER BIOLOGY DATA. Experimental Lung Research. 31(2). 259–270. 8 indexed citations
6.
Mikaelian, Igor, Lillian B. Nanney, Kelly S. Parman, et al.. (2004). Antibodies that Label Paraffin-Embedded Mouse Tissues: A Collaborative Endeavor. Toxicologic Pathology. 32(2). 181–191. 40 indexed citations
7.
Näf, Dieter, Debra M. Krupke, John P. Sundberg, Janan T. Eppig, & Carol J. Bult. (2002). The Mouse Tumor Biology Database: a public resource for cancer genetics and pathology of the mouse.. The Mouseion at the JAXlibrary (Jackson Laboratory). 62(5). 1235–40. 40 indexed citations
8.
Näf, Dieter. (2001). Mouse models for the Wolf-Hirschhorn deletion syndrome. Human Molecular Genetics. 10(2). 91–98. 29 indexed citations
9.
Krupke, Debra M., Carol J. Bult, Dieter Näf, John P. Sundberg, & Janan T. Eppig. (2001). Electronic access to data from mouse cancer models: The Mouse Tumor Biology database. Nature Genetics. 27(S4). 65–66. 1 indexed citations
10.
Schimenti, John C., Brian Libby, Rebecca A. Bergstrom, et al.. (2000). Interdigitated Deletion Complexes on Mouse Chromosome 5 Induced by Irradiation of Embryonic Stem Cells. Genome Research. 10(7). 1043–1050. 28 indexed citations
11.
Kupfer, Gary M., Dieter Näf, Irene García-Higuera, et al.. (1999). A patient-derived mutant form of the Fanconi anemia protein, FANCA, is defective in nuclear accumulation. Experimental Hematology. 27(4). 587–593. 30 indexed citations
12.
García-Higuera, Irene, et al.. (1999). Fanconi Anemia Proteins FANCA, FANCC, and FANCG/XRCC9 Interact in a Functional Nuclear Complex. Molecular and Cellular Biology. 19(7). 4866–4873. 199 indexed citations
13.
Näf, Dieter, et al.. (1998). Functional Activity of the Fanconi Anemia Protein FAA Requires FAC Binding and Nuclear Localization. Molecular and Cellular Biology. 18(10). 5952–5960. 113 indexed citations
14.
Yamashita, Takayuki, Gary M. Kupfer, Dieter Näf, et al.. (1998). The Fanconi anemia pathway requires FAA phosphorylation and FAA/FAC nuclear accumulation. Proceedings of the National Academy of Sciences. 95(22). 13085–13090. 109 indexed citations
15.
Kupfer, Gary M., et al.. (1997). The Fanconi anaemia proteins, FAA and FAC interact to form a nuclear complex. Nature Genetics. 17(4). 487–490. 162 indexed citations
16.
Kupfer, Gary M., Dieter Näf, & Alan D. D’Andrea. (1997). MOLECULAR BIOLOGY OF FANCONI ANEMIA. Hematology/Oncology Clinics of North America. 11(6). 1045–1060. 30 indexed citations
17.
Kupfer, Gary M., et al.. (1997). The Fanconi Anemia Polypeptide, FAC, Binds to the Cyclin-Dependent Kinase, cdc2. Blood. 90(3). 1047–1054. 9 indexed citations
18.
Kupfer, Gary M., et al.. (1997). The Fanconi Anemia Polypeptide, FAC, Binds to the Cyclin-Dependent Kinase, cdc2. Blood. 90(3). 1047–1054. 86 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
20.
Lleonart, Ricardo, et al.. (1990). A Novel, Quantitative Bioassay for Type I Interferon Using a Recombinant Indicator Cell Line. Nature Biotechnology. 8(12). 1263–1267. 43 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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