Irmgard U. Haussmann

2.2k citations
29 papers · 1.5k indexed · 2 hit papers · h-index 16

Irmgard U. Haussmann

26 papers receiving 1.5k citations

Hit Papers

m6A potentiates Sxl alternative pre-mRNA splicing for rob...201620262019202220162018100200300400

Peers

Irmgard U. Haussmann
Comparison fields: 5 of 77
  • Molecular Biology 1.3k
  • Cancer Research 511
  • Electrical and Electronic Engineering 235
  • Cellular and Molecular Neuroscience 137
  • Genetics 128
Replace Amy Pandya‐Jones with:
Amy Pandya‐Jones United States
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Lijuan Kan United States
Ronit Nir Israel
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Irmgard U. Haussmann relative to Amy Pandya‐Jones United States Amy Pandya‐Jones's profile →
Citations per field
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Citations per year

Countries citing papers authored by Irmgard U. Haussmann

Since Specialization
Citations

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

Fields of papers citing papers by Irmgard U. Haussmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irmgard U. Haussmann. 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 Irmgard U. Haussmann. The network helps show where Irmgard U. Haussmann may publish in the future.

Co-authorship network of co-authors of Irmgard U. Haussmann

This figure shows the co-authorship network connecting the top 25 collaborators of Irmgard U. Haussmann. A scholar is included among the top collaborators of Irmgard U. Haussmann 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 Irmgard U. Haussmann. Irmgard U. Haussmann 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
#WorkIndexed citations
1 0
2 0
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7 25
8 15
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10 113
11 19
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15
Zc3h13/Flacc is required for adenosine methylation by bridging the mRNA-binding factor Rbm15/Spenito to the m6A machinery component Wtap/Fl(2)dbreakdown →
463
16
m6A potentiates Sxl alternative pre-mRNA splicing for robust Drosophila sex determinationbreakdown →
464
17 37
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20 54

About Irmgard U. Haussmann

Irmgard U. Haussmann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), RNA modifications and cancer (9 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Cancer Research (511 citations), Molecular Biology (1.3k citations) and Cellular and Molecular Neuroscience (137 citations). Irmgard U. Haussmann has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Matthias Soller, Zsuzsanna Bódi, Nathan Archer, Rupert G. Fray, Nigel P. Mongan, Eugenio Sánchez‐Morán, Jean‐Yves Roignant, Dominik Jacob, Nastasja Kreim and Tina Lenče. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

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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