W. Schaffner

10.9k total citations · 3 hit papers
63 papers, 9.7k citations indexed

About

W. Schaffner is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, W. Schaffner has authored 63 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 12 papers in Genetics and 9 papers in Immunology. Recurrent topics in W. Schaffner's work include Genomics and Chromatin Dynamics (11 papers), RNA Research and Splicing (9 papers) and RNA and protein synthesis mechanisms (8 papers). W. Schaffner is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), RNA Research and Splicing (9 papers) and RNA and protein synthesis mechanisms (8 papers). W. Schaffner collaborates with scholars based in Switzerland, United States and United Kingdom. W. Schaffner's co-authors include Charles Weissmann, Oleg Georgiev, S M Iguchi-Ariga, Gunnar Westin, Josef Jiricny, Patrick Matthias, Michael Boshart, Friedemann Weber, B Fleckenstein and Gerhard Jahn and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

W. Schaffner

63 papers receiving 9.2k citations

Hit Papers

A rapid, sensitive, and specific method for the determina... 1973 2026 1990 2008 1973 1985 1978 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Schaffner Switzerland 40 6.3k 2.0k 1.3k 1.3k 894 63 9.7k
Kenneth Paigen United States 47 6.2k 1.0× 2.5k 1.3× 544 0.4× 595 0.5× 476 0.5× 139 10.9k
Samson T. Jacob United States 51 8.2k 1.3× 628 0.3× 672 0.5× 952 0.7× 801 0.9× 195 11.0k
Russell M. Lebovitz United States 26 9.9k 1.6× 2.1k 1.1× 446 0.3× 2.6k 2.0× 876 1.0× 49 14.9k
Alan G. Porter Singapore 47 6.9k 1.1× 699 0.4× 424 0.3× 1.6k 1.2× 1.0k 1.2× 105 10.9k
Patricia S. Thomas United States 11 6.0k 0.9× 1.8k 0.9× 306 0.2× 1.1k 0.9× 632 0.7× 14 9.4k
G M Ringold United States 49 8.9k 1.4× 4.4k 2.3× 354 0.3× 2.0k 1.6× 1.0k 1.1× 80 12.8k
Sylvie Robine France 53 6.5k 1.0× 2.1k 1.1× 1.3k 1.0× 1.3k 1.0× 374 0.4× 112 11.9k
David M. Neville United States 55 6.9k 1.1× 1.2k 0.6× 489 0.4× 2.8k 2.2× 787 0.9× 143 13.6k
Jacques Piette Belgium 61 6.4k 1.0× 848 0.4× 360 0.3× 1.6k 1.2× 1.4k 1.6× 205 11.2k
Robert Schimke United States 84 13.4k 2.1× 3.3k 1.7× 637 0.5× 1.1k 0.8× 1.1k 1.2× 215 20.5k

Countries citing papers authored by W. Schaffner

Since Specialization
Citations

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

Fields of papers citing papers by W. Schaffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Schaffner

This figure shows the co-authorship network connecting the top 25 collaborators of W. Schaffner. A scholar is included among the top collaborators of W. Schaffner 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 W. Schaffner. W. Schaffner 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.
Chaves, Sandra S., Deborah Aragon, Nancy M. Bennett, et al.. (2013). Patients Hospitalized With Laboratory-Confirmed Influenza During the 2010-2011 Influenza Season: Exploring Disease Severity by Virus Type and Subtype. The Journal of Infectious Diseases. 208(8). 1305–1314. 87 indexed citations
2.
Harmeier, Anja, Christian Wozny, Benjamin R. Rost, et al.. (2009). Role of Amyloid-  Glycine 33 in Oligomerization, Toxicity, and Neuronal Plasticity. Journal of Neuroscience. 29(23). 7582–7590. 84 indexed citations
3.
Devasia, Rose, et al.. (2005). Two community hepatitis B outbreaks: An argument for vaccinating incarcerated persons. Vaccine. 24(9). 1354–1358. 5 indexed citations
4.
Georgiev, Oleg, et al.. (2004). Metal-responsive transcription factor-1 (MTF-1) selects different types of metal response elements at low vs. high zinc concentration. Biological Chemistry. 385(7). 623–32. 47 indexed citations
5.
Jones, Timothy F., et al.. (2003). Epidemiologic Investigation of a Restaurant-Associated Outbreak of Pontiac Fever. Clinical Infectious Diseases. 37(10). 1292–1297. 33 indexed citations
6.
Peter, Isabelle S., et al.. (2003). A novel attenuated replication-competent adenovirus for melanoma therapy. Gene Therapy. 10(7). 530–539. 23 indexed citations
7.
Lichtlen, Peter & W. Schaffner. (2001). The "metal transcription factor" MTF-1: biological facts and medical implications. Swiss Medical Weekly. 131(4546). 647–652. 56 indexed citations
9.
Mayr, B., et al.. (1997). Canine Tumour Suppressor Gene p53 - Mutation in a Case of Adenoma of Circumanal Glands. Veterinary Research Communications. 21(5). 369–373. 17 indexed citations
10.
Escher, Dominik & W. Schaffner. (1997). Gene activation at a distance and telomeric silencing are not affected by yeast histone H1. Molecular and General Genetics MGG. 256(4). 456–461. 27 indexed citations
11.
Hagmann, Michael, Oleg Georgiev, & W. Schaffner. (1997). The VP16 paradox: herpes simplex virus VP16 contains a long-range activation domain but within the natural multiprotein complex activates only from promoter-proximal positions. Journal of Virology. 71(8). 5952–5962. 21 indexed citations
12.
Schaffner, W., et al.. (1996). Gametic embryogenesis in Hypericum ssp. 2(1). 307–310. 1 indexed citations
13.
Kemler, Iris, Edgar Schreiber, Michael Müller, Patrick Matthias, & W. Schaffner. (1989). Octamer transcription factors bind to two different sequence motifs of the immunoglobulin heavy chain promoter.. The EMBO Journal. 8(7). 2001–2008. 125 indexed citations
14.
Schreiber, Edgar, Patrick Matthias, Michael Müller, & W. Schaffner. (1988). Identification of a novel lymphoid specific octamer binding protein (OTF-2B) by proteolytic clipping bandshift assay (PCBA).. The EMBO Journal. 7(13). 4221–4229. 272 indexed citations
16.
Doetschman, Thomas, Achim Gossler, Edgar Serfling, et al.. (1986). Introduction of genes into mouse embryonic stem cells.. PubMed. 217A. 47–50. 4 indexed citations
17.
Picard, Didier & W. Schaffner. (1984). Unrearranged immunoglobulin lambda variable region is transcribed in kappa-producing myelomas.. The EMBO Journal. 3(12). 3031–3035. 24 indexed citations
18.
Banerji, Julian, et al.. (1983). Analysis of the Transcriptional Enhancer Effect. Cold Spring Harbor Symposia on Quantitative Biology. 47(0). 911–919. 70 indexed citations
19.
Picard, Didier & W. Schaffner. (1983). Correct transcription of a cloned mouse immunoglobulin gene in vivo.. Proceedings of the National Academy of Sciences. 80(2). 417–421. 66 indexed citations
20.
Rusconi, Sandro & W. Schaffner. (1981). Transformation of frog embryos with a rabbit beta-globin gene.. Proceedings of the National Academy of Sciences. 78(8). 5051–5055. 132 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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