Kate D. Meyer
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research 14
- Molecular Biology top 0.5%
- RNA modifications and cancer 33
- Cancer-related gene regulation 15
- RNA Research and Splicing 15
- RNA and protein synthesis mechanisms 11
- RNA regulation and disease 2
- Epigenetics and DNA Methylation 2
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- HVDC Systems and Fault Protection 4
- Oncology top 10%
- Co-authors
- Samie R. JaffreyOlivier ElementoYogesh SaletoreChristopher E. MasonPaul ZumboJun ZhouDeepak P. PatilMaxim A. Skabkin
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Kate D. Meyer
35 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 3.6k
- Molecular Biology 7.8k
- Energy Engineering and Power Technology 100
- Electrical and Electronic Engineering 1.1k
- Oncology 398
Countries citing papers authored by Kate D. Meyer
This map shows the geographic impact of Kate D. Meyer'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 Kate D. Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate D. Meyer more than expected).
Fields of papers citing papers by Kate D. Meyer
This network shows the impact of papers produced by Kate D. Meyer. 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 Kate D. Meyer. The network helps show where Kate D. Meyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kate D. Meyer, 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 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 22 | |
| 8 | 2022 | 112 | |
| 9 | 2022 | 25 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 22 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 21 | |
| 14 | 2021 | 3 | |
| 15 | DART-seq: an antibody-free method for global m6A detectionbreakdown → | 2019 | 327 |
| 16 | 2019 | 37 | |
| 17 | 2018 | 58 | |
| 18 | 2016 | 11 | |
| 19 | 5′ UTR m6A Promotes Cap-Independent Translationbreakdown → | 2015 | 1432 |
| 20 | 2008 | 27 |
About Kate D. Meyer
Kate D. Meyer is a scholar working on Cancer Research, Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Parasitology, having authored 37 papers that have together received 8.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (33 papers), Cancer-related gene regulation (15 papers), RNA Research and Splicing (15 papers), Cancer-related molecular mechanisms research (14 papers), RNA and protein synthesis mechanisms (11 papers), HVDC Systems and Fault Protection (4 papers), RNA regulation and disease (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (3.6k citations), Molecular Biology (7.8k citations), Energy Engineering and Power Technology (100 citations), Electrical and Electronic Engineering (1.1k citations) and Oncology (398 citations). Kate D. Meyer has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Samie R. Jaffrey, Olivier Elemento, Yogesh Saletore, Christopher E. Mason, Paul Zumbo, Jun Zhou, Deepak P. Patil, Maxim A. Skabkin, Alexandra Zinoviev and Shu‐Bing Qian. Their work appears in journals such as Cell Reports, Nature Neuroscience, Cell, Nucleic Acids Research and Nature Reviews Molecular Cell Biology.
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.