Julia Zeitlinger
Impact in
- Molecular Biology top 0.2%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Fungal and yeast genetics research
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- CRISPR and Genetic Engineering
- Aging top 1%
Papers in
-
- Genomics and Chromatin Dynamics 36
- RNA Research and Splicing 25
- Developmental Biology and Gene Regulation 14
- RNA and protein synthesis mechanisms 11
- RNA modifications and cancer 5
- Genomics and Phylogenetic Studies 4
-
- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Richard A. YoungNancy M. HannettDavid K. GiffordTong Ihn LeeChristopher HarbisonDmitry PokholokStuart S. LevineGeorge W. Bell
- Journals
- Nature Genetics (5 papers)Cell (4 papers)Science (3 papers)Genes & Development (3 papers)Genome Research (3 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Julia Zeitlinger
51 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 10.5k
- Aging 184
- Genetics 1.4k
- Cancer Research 559
- Plant Science 1.3k
Countries citing papers authored by Julia Zeitlinger
This map shows the geographic impact of Julia Zeitlinger'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 Julia Zeitlinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Zeitlinger more than expected).
Fields of papers citing papers by Julia Zeitlinger
This network shows the impact of papers produced by Julia Zeitlinger. 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 Julia Zeitlinger. The network helps show where Julia Zeitlinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julia Zeitlinger, 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 | 2023 | 4 | |
| 2 | Short tandem repeats bind transcription factors to tune eukaryotic gene expression Hit paper breakdown → | 2023 | 98 |
| 3 | 2023 | 7 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 14 | |
| 6 | 2020 | 59 | |
| 7 | 2019 | 18 | |
| 8 | 2019 | 44 | |
| 9 | 2018 | 94 | |
| 10 | 2017 | 36 | |
| 11 | 2017 | 167 | |
| 12 | 2014 | 44 | |
| 13 | 2013 | 141 | |
| 14 | 2013 | 46 | |
| 15 | 2010 | 38 | |
| 16 | 2008 | 133 | |
| 17 | 2007 | 230 | |
| 18 | 2006 | 199 | |
| 19 | Genome-wide Map of Nucleosome Acetylation and Methylation in Yeast Hit paper breakdown → | 2005 | 1098 |
| 20 | 1996 | 91 |
About Julia Zeitlinger
Julia Zeitlinger is a scholar working on Molecular Biology, Cell Biology, Plant Science, Genetics and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 11.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (36 papers), RNA Research and Splicing (25 papers), Developmental Biology and Gene Regulation (14 papers), RNA and protein synthesis mechanisms (11 papers), Plant Molecular Biology Research (6 papers), RNA modifications and cancer (5 papers), Genomics and Phylogenetic Studies (4 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Molecular Biology (10.5k citations), Aging (184 citations), Genetics (1.4k citations), Cancer Research (559 citations) and Plant Science (1.3k citations). Julia Zeitlinger has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Richard A. Young, Nancy M. Hannett, David K. Gifford, Tong Ihn Lee, Christopher Harbison, Dmitry Pokholok, Stuart S. Levine, George W. Bell, Manolis Kellis and Ezra G. Jennings. Their work appears in journals such as Nature Genetics, Cell, Science, Genes & Development and Genome Research.
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.