Kathi Zarnack
Impact in
- Molecular Biology top 2%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- Cancer-related gene regulation
- Fungal and yeast genetics research
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA Research and Splicing 57
- RNA modifications and cancer 51
- RNA and protein synthesis mechanisms 35
- Fungal and yeast genetics research 7
- RNA regulation and disease 6
- Heat shock proteins research 4
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 3
- Co-authors
- Jernej UleJulian KönigNicholas M. LuscombeTomaž CurkBlaž ZupanMelis KayikciGregor RotDaniel J. Turner
- Journals
- Nucleic Acids Research (8 papers)Genome biology (4 papers)Nature Structural & Molecular Biology (3 papers)RNA (3 papers)Genome Research (3 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Kathi Zarnack
69 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 3.6k
- Cancer Research 756
- Aging 22
- Cell Biology 174
- Genetics 101
Countries citing papers authored by Kathi Zarnack
This map shows the geographic impact of Kathi Zarnack'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 Kathi Zarnack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathi Zarnack more than expected).
Fields of papers citing papers by Kathi Zarnack
This network shows the impact of papers produced by Kathi Zarnack. 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 Kathi Zarnack. The network helps show where Kathi Zarnack may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kathi Zarnack, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 22 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 27 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 28 | |
| 12 | 2021 | 66 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 19 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2018 | 32 | |
| 18 | 2018 | 57 | |
| 19 | 2016 | 220 | |
| 20 | 2009 | 22 |
About Kathi Zarnack
Kathi Zarnack is a scholar working on Molecular Biology, Cancer Research, Plant Science, Immunology and Cell Biology, having authored 73 papers that have together received 3.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (57 papers), RNA modifications and cancer (51 papers), RNA and protein synthesis mechanisms (35 papers), Cancer-related molecular mechanisms research (8 papers), Fungal and yeast genetics research (7 papers), RNA regulation and disease (6 papers), Heat shock proteins research (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Cancer Research (756 citations), Aging (22 citations), Cell Biology (174 citations) and Genetics (101 citations). Kathi Zarnack has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Jernej Ule, Julian König, Nicholas M. Luscombe, Tomaž Curk, Blaž Zupan, Melis Kayikci, Gregor Rot, Daniel J. Turner, Michael Feldbrügge and Zhen Wang. Their work appears in journals such as Nucleic Acids Research, Genome biology, Nature Structural & Molecular Biology, RNA 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.