Ulrich Scheer
- Molecular Biology top 2%
- RNA Research and Splicing 32
- Genomics and Chromatin Dynamics 21
- Nuclear Structure and Function 17
- RNA and protein synthesis mechanisms 16
- RNA modifications and cancer 12
- DNA and Nucleic Acid Chemistry 7
- Cell Biology top 2%
- Microtubule and mitosis dynamics 7
- Structural Biology top 5%
- Genetics top 5%
- Plant Science top 5%
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- Reproductive Biology and Fertility 7
- Co-authors
- Werner W. FrankeRobert HockRicardo BenaventeMarie‐Christine DabauvalleBrigitte M. JockuschDieter WeisenbergerHorst HinssenGuy Goessens
- Journals
- Chromosoma (13 papers)Experimental Cell Research (11 papers)Journal of Cell Science (8 papers)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Ulrich Scheer
81 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 3.8k
- Cell Biology 571
- Structural Biology 29
- Genetics 560
- Plant Science 502
Countries citing papers authored by Ulrich Scheer
This map shows the geographic impact of Ulrich Scheer'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 Ulrich Scheer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Scheer more than expected).
Fields of papers citing papers by Ulrich Scheer
This network shows the impact of papers produced by Ulrich Scheer. 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 Ulrich Scheer. The network helps show where Ulrich Scheer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ulrich Scheer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 2 | |
| 2 | Identification of microtubular structures in diverse plant and animal cells by immunological cross-reaction revealed in immunofluorescence microscopy using antibodies against tubulin from porcine brain | 2010 | 1 |
| 3 | 2010 | 26 | |
| 4 | 2006 | 131 | |
| 5 | 2005 | 4 | |
| 6 | 2005 | 4 | |
| 7 | 2003 | 36 | |
| 8 | 2002 | 105 | |
| 9 | 1999 | 16 | |
| 10 | 1998 | 51 | |
| 11 | 1997 | 46 | |
| 12 | 1993 | 130 | |
| 13 | 1991 | 22 | |
| 14 | 1991 | 60 | |
| 15 | 1989 | 36 | |
| 16 | 1987 | 108 | |
| 17 | 1985 | 13 | |
| 18 | 1973 | 7 | |
| 19 | 1971 | 42 | |
| 20 | 1970 | 109 |
About Ulrich Scheer
Ulrich Scheer is a scholar working on Molecular Biology, Developmental Biology, Cell Biology, Immunology and Allergy and Genetics, having authored 82 papers that have together received 4.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (32 papers), Genomics and Chromatin Dynamics (21 papers), Nuclear Structure and Function (17 papers), RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (12 papers), Reproductive Biology and Fertility (7 papers), Microtubule and mitosis dynamics (7 papers) and DNA and Nucleic Acid Chemistry (7 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Cell Biology (571 citations), Structural Biology (29 citations), Genetics (560 citations) and Plant Science (502 citations). Ulrich Scheer has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Werner W. Franke, Robert Hock, Ricardo Benavente, Marie‐Christine Dabauvalle, Brigitte M. Jockusch, Dieter Weisenberger, Horst Hinssen, Guy Goessens, Michael F. Trendelenburg and Georg Krohne. Their work appears in journals such as Chromosoma, Experimental Cell Research, Journal of Cell Science, The Journal of Cell Biology and Biology of the Cell.
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.