Caroline Kim-Kiselak
Impact in
- Aging top 5%
- Structural Biology top 5%
Papers in
-
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- RNA Interference and Gene Delivery 2
- Single-cell and spatial transcriptomics 1
- Oncology 4
- Cancer Cells and Metastasis 2
- Co-authors
- Tyler Jacks (5 shared papers)Monte M. Winslow (5 shared papers)David M. Feldser (4 shared papers)Prashant Mali (2 shared papers)George M. Church (2 shared papers)Talya L. Dayton (3 shared papers)Roderick T. Bronson (3 shared papers)Charles A. Whittaker (2 shared papers)
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)Genes & Development (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- United States
In The Last Decade
Caroline Kim-Kiselak
12 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Aging 40
- Structural Biology 29
- Cancer Research 265
- Molecular Biology 1.0k
- Business and International Management 27
Countries citing papers authored by Caroline Kim-Kiselak
This map shows the geographic impact of Caroline Kim-Kiselak'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 Caroline Kim-Kiselak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Kim-Kiselak more than expected).
Fields of papers citing papers by Caroline Kim-Kiselak
This network shows the impact of papers produced by Caroline Kim-Kiselak. 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 Caroline Kim-Kiselak. The network helps show where Caroline Kim-Kiselak may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Kim-Kiselak, 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 | 2011 | 317 | |
| 2 | 2013 | 298 | |
| 3 | 2015 | 266 | |
| 4 | 2016 | 126 | |
| 5 | 2017 | 113 | |
| 6 | 2017 | 102 | |
| 7 | 2019 | 62 | |
| 8 | 2013 | 55 | |
| 9 | 2014 | 43 | |
| 10 | 2014 | 40 | |
| 11 | 2021 | 18 | |
| 12 | 2014 | 8 |
About Caroline Kim-Kiselak
Caroline Kim-Kiselak is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Allergy and Pathology and Forensic Medicine, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (2 papers), RNA and protein synthesis mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), Cancer Cells and Metastasis (2 papers), RNA Interference and Gene Delivery (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Aging (40 citations), Structural Biology (29 citations), Cancer Research (265 citations), Molecular Biology (1.0k citations) and Business and International Management (27 citations). Caroline Kim-Kiselak has collaborated with scholars based in United States. Frequent co-authors include Tyler Jacks, Monte M. Winslow, David M. Feldser, Prashant Mali, George M. Church, Talya L. Dayton, Roderick T. Bronson, Charles A. Whittaker, Sebastian Hoersch and Susan Byrne. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Genes & Development, Nature Communications and Cell Reports.
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.