Kimberly Batten
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
Papers in
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- RNA Research and Splicing 6
- RNA modifications and cancer 6
- Genomics and Chromatin Dynamics 4
- RNA and protein synthesis mechanisms 3
- Nuclear Structure and Function 2
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- Telomeres, Telomerase, and Senescence 7
- Co-authors
- Woodring E. Wright (15 shared papers)Jerry W. Shay (20 shared papers)Andrew T. Ludlow (5 shared papers)Jérôme D. Robin (4 shared papers)Jerry W. Shay (2 shared papers)Guido Stadler (2 shared papers)Frédérique Magdinier (2 shared papers)Crystal Cornelius (6 shared papers)
- Journals
- Neoplasia (3 papers)Nature Communications (3 papers)Clinical Cancer Research (2 papers)Cell Reports (2 papers)Aging Cell (2 papers)
- Partner nations
- United StatesFranceSaudi Arabia
In The Last Decade
Kimberly Batten
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Aging 83
- Cancer Research 309
- Physiology 328
- Molecular Biology 726
- Cell Biology 93
Countries citing papers authored by Kimberly Batten
This map shows the geographic impact of Kimberly Batten'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 Kimberly Batten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly Batten more than expected).
Fields of papers citing papers by Kimberly Batten
This network shows the impact of papers produced by Kimberly Batten. 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 Kimberly Batten. The network helps show where Kimberly Batten may publish in the future.
Co-authors
The 25 scholars most cited alongside Kimberly Batten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 239 | |
| 2 | 2014 | 204 | |
| 3 | 2014 | 73 | |
| 4 | 2015 | 62 | |
| 5 | 2018 | 60 | |
| 6 | 2018 | 59 | |
| 7 | 2011 | 58 | |
| 8 | 2013 | 54 | |
| 9 | 2018 | 48 | |
| 10 | 2014 | 48 | |
| 11 | 2018 | 37 | |
| 12 | 2011 | 31 | |
| 13 | 2010 | 31 | |
| 14 | 2014 | 23 | |
| 15 | 2015 | 21 | |
| 16 | 2023 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2020 | 9 | |
| 19 | 2011 | 6 | |
| 20 | 2022 | 6 |
About Kimberly Batten
Kimberly Batten is a scholar working on Molecular Biology, Physiology, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (7 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (6 papers), Genomics and Chromatin Dynamics (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA and protein synthesis mechanisms (3 papers), Nuclear Structure and Function (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Aging (83 citations), Cancer Research (309 citations), Physiology (328 citations), Molecular Biology (726 citations) and Cell Biology (93 citations). Kimberly Batten has collaborated with scholars based in United States, France and Saudi Arabia. Frequent co-authors include Woodring E. Wright, Jerry W. Shay, Andrew T. Ludlow, Jérôme D. Robin, Jerry W. Shay, Guido Stadler, Frédérique Magdinier, Crystal Cornelius, John D. Minna and Stina Mui Singel. Their work appears in journals such as Neoplasia, Nature Communications, Clinical Cancer Research, Cell Reports and Aging Cell.
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.