Ryan C. Gimple
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Genetics top 2%
- Glioma Diagnosis and Treatment
Papers in
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Aging 1
- Co-authors
- Jeremy N. RichDeobrat DixitXiuxing WangShruti BhargavaQiulian WuBriana C. PragerLeo J.Y. KimZhixin Qiu
- Journals
- Cancer Discovery (3 papers)iScience (2 papers)Cell (2 papers)Science Translational Medicine (2 papers)Neuro-Oncology (2 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Ryan C. Gimple
32 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 798
- Genetics 433
- Endocrine and Autonomic Systems 162
- Aging 41
- Molecular Biology 1.6k
Countries citing papers authored by Ryan C. Gimple
This map shows the geographic impact of Ryan C. Gimple'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 Ryan C. Gimple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan C. Gimple more than expected).
Fields of papers citing papers by Ryan C. Gimple
This network shows the impact of papers produced by Ryan C. Gimple. 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 Ryan C. Gimple. The network helps show where Ryan C. Gimple may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan C. Gimple, 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 | 1 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 30 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 22 | |
| 7 | 2021 | 88 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 121 | |
| 10 | The RNA m6A Reader YTHDF2 Maintains Oncogene Expression and Is a Targetable Dependency in Glioblastoma Stem Cells Hit paper breakdown → | 2020 | 274 |
| 11 | 2020 | 22 | |
| 12 | 2020 | 25 | |
| 13 | 2019 | 217 | |
| 14 | Glioblastoma stem cells: lessons from the tumor hierarchy in a lethal cancer Hit paper breakdown → | 2019 | 359 |
| 15 | 2019 | 32 | |
| 16 | 2019 | 121 | |
| 17 | 2019 | 7 | |
| 18 | 2017 | 258 | |
| 19 | 2017 | 1 | |
| 20 | 2016 | 81 |
About Ryan C. Gimple
Ryan C. Gimple is a scholar working on Cancer Research, Aging, Genetics, Molecular Biology and Cell Biology, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer Cells and Metastasis (4 papers), RNA Research and Splicing (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Cancer Research (798 citations), Genetics (433 citations), Endocrine and Autonomic Systems (162 citations), Aging (41 citations) and Molecular Biology (1.6k citations). Ryan C. Gimple has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Jeremy N. Rich, Deobrat Dixit, Xiuxing Wang, Shruti Bhargava, Qiulian Wu, Briana C. Prager, Leo J.Y. Kim, Zhixin Qiu, Shideng Bao and Stephen C. Mack. Their work appears in journals such as Cancer Discovery, iScience, Cell, Science Translational Medicine and Neuro-Oncology.
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.