Walter Keller

1.6k total citations · 1 hit paper
10 papers, 1.4k citations indexed

About

Walter Keller is a scholar working on Molecular Biology, Genetics and Biomaterials. According to data from OpenAlex, Walter Keller has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Biomaterials. Recurrent topics in Walter Keller's work include RNA Research and Splicing (8 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (4 papers). Walter Keller is often cited by papers focused on RNA Research and Splicing (8 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (4 papers). Walter Keller collaborates with scholars based in Switzerland, Germany and France. Walter Keller's co-authors include Silvia M.L. Barabino, M E Nemeroff, Robert M. Krug, Yongzhong Li, Elmar Wahle, Joachim Lingner, Lionel Minvielle-Sébastia, Andreas Jenny, Pascal Preker and Josef Kellermann and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Walter Keller

10 papers receiving 1.4k citations

Hit Papers

Influenza Virus NS1 Protein Interacts with the Cellular 3... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walter Keller Switzerland 10 1.0k 398 325 80 77 10 1.4k
G Russ Slovakia 16 492 0.5× 414 1.0× 360 1.1× 105 1.3× 84 1.1× 57 1.1k
Christophe Delenda France 15 518 0.5× 225 0.6× 133 0.4× 310 3.9× 149 1.9× 19 874
Marie‐Françoise Dubois France 20 1.1k 1.0× 319 0.8× 160 0.5× 145 1.8× 106 1.4× 29 1.4k
Jaydip Das Gupta United States 15 348 0.3× 115 0.3× 332 1.0× 158 2.0× 43 0.6× 23 774
Tsafi Pe’ery United States 20 779 0.7× 83 0.2× 148 0.5× 97 1.2× 115 1.5× 29 1.1k
S. Funahashi Japan 14 699 0.7× 309 0.8× 232 0.7× 142 1.8× 35 0.5× 29 1.3k
Naoki Takizawa Japan 13 470 0.5× 267 0.7× 190 0.6× 78 1.0× 97 1.3× 33 751
Gregory N. Weddell United States 8 455 0.4× 104 0.3× 275 0.8× 106 1.3× 48 0.6× 8 874
Jeffrey Ross United States 9 434 0.4× 143 0.4× 96 0.3× 208 2.6× 61 0.8× 11 733
C S Copeland United States 8 748 0.7× 209 0.5× 248 0.8× 85 1.1× 53 0.7× 9 1.1k

Countries citing papers authored by Walter Keller

Since Specialization
Citations

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

Fields of papers citing papers by Walter Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Keller

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

All Works

10 of 10 papers shown
1.
Nemeroff, M E, Silvia M.L. Barabino, Yongzhong Li, Walter Keller, & Robert M. Krug. (1998). Influenza Virus NS1 Protein Interacts with the Cellular 30 kDa Subunit of CPSF and Inhibits 3′ End Formation of Cellular Pre-mRNAs. Molecular Cell. 1(7). 991–1000. 521 indexed citations breakdown →
2.
Barabino, Silvia M.L., Wolfgang Hübner, Andreas Jenny, Lionel Minvielle-Sébastia, & Walter Keller. (1997). The 30-kD subunit of mammalian cleavage and polyadenylation specificity factor and its yeast homolog are RNA-binding zinc finger proteins.. Genes & Development. 11(13). 1703–1716. 150 indexed citations
3.
Minvielle-Sébastia, Lionel, et al.. (1997). The major yeast poly(A)-binding protein is associated with cleavage factor IA and functions in premessenger RNA 3′-end formation. Proceedings of the National Academy of Sciences. 94(15). 7897–7902. 141 indexed citations
4.
Jenny, Andreas, Lionel Minvielle-Sébastia, Pascal Preker, & Walter Keller. (1996). Sequence Similarity Between the 73-Kilodalton Protein of Mammalian CPSF and a Subunit of Yeast Polyadenylation Factor I. Science. 274(5292). 1514–1517. 96 indexed citations
5.
Wahle, Elmar & Walter Keller. (1996). The biochemistry of polyadenylation. Trends in Biochemical Sciences. 21(7). 247–250. 164 indexed citations
6.
Lingner, Joachim & Walter Keller. (1993). 3′-end labeling of RNA with recombinant yeast poly(A) polymerase. Nucleic Acids Research. 21(12). 2917–2920. 61 indexed citations
7.
Lingner, Joachim, Josef Kellermann, & Walter Keller. (1991). Cloning and expression of the essential gene for poly(A) polymerase from S. cerevisiae. Nature. 354(6353). 496–498. 113 indexed citations
9.
Lingner, Joachim, et al.. (1991). Purification and characterization of poly(A) polymerase from Saccharomyces cerevisiae. Journal of Biological Chemistry. 266(14). 8741–8746. 75 indexed citations
10.
Suter‐Crazzolara, Clemens & Walter Keller. (1991). Organization and transient expression of the gene for human U11 snRNA.. PubMed. 1(2). 91–102. 9 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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