Ralph A. Neumüller
Impact in
- Aging top 2%
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
Papers in
- Aging 1
-
- Developmental Biology and Gene Regulation 6
- RNA and protein synthesis mechanisms 5
- Genomics and Chromatin Dynamics 5
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 4
- RNA Research and Splicing 4
- RNA Interference and Gene Delivery 3
- Co-authors
- Juergen A. KnoblichNorbert PerrimonMaria NovatchkovaStephanie E. MohrAnja FischerJennifer A. SmithCaroline E. ShamuSarah Bowman
- Journals
- Cell Reports (3 papers)Developmental Cell (3 papers)eLife (3 papers)Cancer Research (2 papers)Nature Methods (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Ralph A. Neumüller
23 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 112
- Aging 133
- Cell Biology 452
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 278
- Cancer Research 184
Countries citing papers authored by Ralph A. Neumüller
This map shows the geographic impact of Ralph A. Neumüller'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 Ralph A. Neumüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph A. Neumüller more than expected).
Fields of papers citing papers by Ralph A. Neumüller
This network shows the impact of papers produced by Ralph A. Neumüller. 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 Ralph A. Neumüller. The network helps show where Ralph A. Neumüller may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralph A. Neumüller, 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 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 30 | |
| 5 | 2019 | 91 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 18 | |
| 8 | 2015 | 73 | |
| 9 | 2014 | 93 | |
| 10 | 2014 | 104 | |
| 11 | 2014 | 247 | |
| 12 | 2013 | 65 | |
| 13 | 2013 | 100 | |
| 14 | 2011 | 203 | |
| 15 | 2011 | 73 | |
| 16 | 2010 | 11 | |
| 17 | 2009 | 310 | |
| 18 | 2008 | 61 | |
| 19 | 2008 | 194 | |
| 20 | 2006 | 238 |
About Ralph A. Neumüller
Ralph A. Neumüller is a scholar working on Aging, Molecular Biology, Cell Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (6 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Chromatin Dynamics (5 papers), Neurobiology and Insect Physiology Research (4 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (4 papers), RNA Research and Splicing (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Aging (133 citations), Cell Biology (452 citations), Molecular Biology (1.5k citations), Cellular and Molecular Neuroscience (278 citations) and Cancer Research (184 citations). Ralph A. Neumüller has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Juergen A. Knoblich, Norbert Perrimon, Maria Novatchkova, Stephanie E. Mohr, Anja Fischer, Jennifer A. Smith, Caroline E. Shamu, Sarah Bowman, Quansheng Du and Constance Richter. Their work appears in journals such as Cell Reports, Developmental Cell, eLife, Cancer Research and Nature Methods.
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.