Michael Altmann

3.7k total citations
72 papers, 3.0k citations indexed

About

Michael Altmann is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Michael Altmann has authored 72 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Genetics. Recurrent topics in Michael Altmann's work include RNA and protein synthesis mechanisms (42 papers), RNA Research and Splicing (21 papers) and Fungal and yeast genetics research (13 papers). Michael Altmann is often cited by papers focused on RNA and protein synthesis mechanisms (42 papers), RNA Research and Splicing (21 papers) and Fungal and yeast genetics research (13 papers). Michael Altmann collaborates with scholars based in Switzerland, United States and Canada. Michael Altmann's co-authors include Hans Trachsel, Nahum Sonenberg, Isaac Edery, Catherine Berset, C Goyer, Peter Müller, Ulrich Baumann, Jerry Pelletier, A.E. Oberholzer and Mario Bumann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Michael Altmann

70 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Altmann Switzerland 34 2.5k 253 208 202 190 72 3.0k
Toshio Uchiumi Japan 31 1.8k 0.7× 215 0.8× 229 1.1× 351 1.7× 87 0.5× 96 2.4k
C. Dingwall United Kingdom 20 2.2k 0.9× 84 0.3× 152 0.7× 312 1.5× 127 0.7× 22 2.8k
Christiane Branlant France 44 5.5k 2.2× 200 0.8× 330 1.6× 586 2.9× 140 0.7× 151 6.0k
Elizabeth J. Grayhack United States 28 2.9k 1.2× 86 0.3× 187 0.9× 330 1.6× 107 0.6× 43 3.2k
Lluı́s Ribas de Pouplana Spain 36 3.8k 1.6× 133 0.5× 490 2.4× 365 1.8× 164 0.9× 98 4.4k
Pavel V. Baranov Ireland 40 3.9k 1.6× 269 1.1× 332 1.6× 533 2.6× 151 0.8× 113 4.5k
Yael Mandel‐Gutfreund Israel 30 2.8k 1.1× 56 0.2× 197 0.9× 206 1.0× 155 0.8× 70 3.4k
Richard Grantham France 9 2.9k 1.2× 119 0.5× 241 1.2× 891 4.4× 127 0.7× 16 3.7k
Jonathan B Weitzman France 27 1.5k 0.6× 68 0.3× 98 0.5× 172 0.9× 258 1.4× 146 2.7k
Berthold Rutz Germany 7 3.5k 1.4× 74 0.3× 263 1.3× 251 1.2× 255 1.3× 16 4.0k

Countries citing papers authored by Michael Altmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Altmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Altmann

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Altmann. A scholar is included among the top collaborators of Michael Altmann 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 Michael Altmann. Michael Altmann 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.
García, Alejandra, et al.. (2024). The gene YEF3 function encoding translation elongation factor eEF3 is partially conserved across fungi. Frontiers in Microbiology. 15. 1438900–1438900. 1 indexed citations
2.
Komar, Anton A., et al.. (2018). Properties of the ternary complex formed by yeast eIF4E, p20 and mRNA. Scientific Reports. 8(1). 6707–6707. 12 indexed citations
3.
Altmann, Michael, et al.. (2012). eIF4E Is an Important Determinant of Adhesion and Pseudohyphal Growth of the Yeast S. cerevisiae. PLoS ONE. 7(11). e50773–e50773. 5 indexed citations
4.
Lindqvist, Lisa, Monika Oberer, Mikhail Reibarkh, et al.. (2008). Selective Pharmacological Targeting of a DEAD Box RNA Helicase. PLoS ONE. 3(2). e1583–e1583. 105 indexed citations
5.
Vergé, Valérie, et al.. (2004). Localization of a promoter in the putative internal ribosome entry site of the Saccharomyces cerevisiae TIF4631 gene. RNA. 10(2). 277–286. 23 indexed citations
6.
Hernández, Greco, Paula Vázquez‐Pianzola, Andreas Zurbriggen, et al.. (2004). Two functionally redundant isoforms of Drosophila melanogaster eukaryotic initiation factor 4B are involved in cap‐dependent translation, cell survival, and proliferation. European Journal of Biochemistry. 271(14). 2923–2936. 23 indexed citations
7.
Hernández, Greco, Michael Altmann, José M. Sierra, et al.. (2004). Functional analysis of seven genes encoding eight translation initiation factor 4E (eIF4E) isoforms in Drosophila. Mechanisms of Development. 122(4). 529–543. 84 indexed citations
8.
Berset, Catherine, Andreas Zurbriggen, Siamak Djafarzadeh, Michael Altmann, & Hans Trachsel. (2003). RNA-binding activity of translation initiation factor eIF4G1 from Saccharomyces cerevisiae. RNA. 9(7). 871–880. 58 indexed citations
9.
Dominguez, Diana, Michael Altmann, Jörg Benz, Ulrich Baumann, & Hans Trachsel. (1999). Interaction of Translation Initiation Factor eIF4G with eIF4A in the Yeast Saccharomyces cerevisiae. Journal of Biological Chemistry. 274(38). 26720–26726. 48 indexed citations
10.
Sellers, Thomas A., Todd Weaver, Brian Phillips, Michael Altmann, & Stephen S. Rich. (1998). Environmental factors can confound identification of a major gene effect: Results from a segregation analysis of a simulated population of lung cancer families. Genetic Epidemiology. 15(3). 251–262. 15 indexed citations
11.
Altmann, Michael & Hans Trachsel. (1997). Translation Initiation Factor-Dependent Extracts from YeastSaccharomyces cerevisiae. Methods. 11(4). 343–352. 15 indexed citations
12.
Altmann, Michael, et al.. (1995). Isolation of a Protein Complex Containing Translation Initiation Factor Prt1 from Saccharomyces cerevisiae. Journal of Biological Chemistry. 270(9). 4288–4292. 56 indexed citations
13.
Gilbertson, David T., et al.. (1995). Simulation of stochastic micropopulation models—IV. Snappers: Model implementation for genetic traits. Computers in Biology and Medicine. 25(6). 519–531. 1 indexed citations
14.
Altmann, Michael & Martina Morris. (1994). A clarification of the φ mixing model. Mathematical Biosciences. 124(1). 1–7. 9 indexed citations
15.
16.
Altmann, Michael, et al.. (1990). Translation initiation factor-dependent extracts from Saccharomyces cerevisiae. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1050(1-3). 155–159. 39 indexed citations
17.
Altmann, Michael & Hans Trachsel. (1989). Altered mRNA cap recognition activity of initiation factor 4E in the yeast cell cyde division mutant cdc33. Nucleic Acids Research. 17(15). 5923–5931. 60 indexed citations
18.
Altmann, Michael, et al.. (1989). Nucleotide sequence of the gene encoding a 20 kDa protein associated with the cap binding protein eIF-4E fromSaccharomyces cerevisiae. Nucleic Acids Research. 17(18). 7520–7520. 24 indexed citations
19.
20.
Altmann, Michael, et al.. (1981). Isolation of highly active polysomes with polyadenylated sequences fromBacillus brevis. FEMS Microbiology Letters. 12(1). 71–75. 5 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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