Uta Haselmann
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Aging top 5%
Papers in
-
- Viral Infections and Vectors 7
- Viral gastroenteritis research and epidemiology 3
- Co-authors
- Iain W. MattajWolfram AntoninClaude AntonyRalf BartenschlagerMirko CorteseEmmanuel G. ReynaudErnst H. K. StelzerJulien Colombelli
- Journals
- Cell Reports (4 papers)Journal of Cell Science (4 papers)Journal of Virology (3 papers)Nature Communications (2 papers)Molecular Cell (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Uta Haselmann
30 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cell Biology 454
- Aging 40
- Virology 73
- Infectious Diseases 278
- Molecular Biology 961
Countries citing papers authored by Uta Haselmann
This map shows the geographic impact of Uta Haselmann'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 Uta Haselmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta Haselmann more than expected).
Fields of papers citing papers by Uta Haselmann
This network shows the impact of papers produced by Uta Haselmann. 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 Uta Haselmann. The network helps show where Uta Haselmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Uta Haselmann, 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 | 2024 | 13 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 77 | |
| 7 | 2019 | 87 | |
| 8 | 2018 | 12 | |
| 9 | 2017 | 23 | |
| 10 | Ultrastructural Characterization of Zika Virus Replication Factories Hit paper breakdown → | 2017 | 257 |
| 11 | 2016 | 18 | |
| 12 | 2010 | 220 | |
| 13 | 2009 | 223 | |
| 14 | 2009 | 27 | |
| 15 | 2009 | 19 | |
| 16 | 2007 | 48 | |
| 17 | 2006 | 181 | |
| 18 | 2005 | 18 | |
| 19 | 2005 | 89 | |
| 20 | 2005 | 125 |
About Uta Haselmann
Uta Haselmann is a scholar working on Structural Biology, Infectious Diseases, Virology, Hepatology and Cell Biology, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (7 papers), Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers), Lipid Membrane Structure and Behavior (3 papers), Hepatitis C virus research (3 papers), Insect symbiosis and bacterial influences (3 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Cell Biology (454 citations), Aging (40 citations), Virology (73 citations), Infectious Diseases (278 citations) and Molecular Biology (961 citations). Uta Haselmann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Iain W. Mattaj, Wolfram Antonin, Claude Antony, Ralf Bartenschlager, Mirko Cortese, Emmanuel G. Reynaud, Ernst H. K. Stelzer, Julien Colombelli, Juliane Winkler and Anja Seybert. Their work appears in journals such as Cell Reports, Journal of Cell Science, Journal of Virology, Nature Communications and Molecular 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.