Caroline Kim-Kiselak

2.1k total citations
12 papers, 1.4k citations indexed

About

Caroline Kim-Kiselak is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Caroline Kim-Kiselak has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Caroline Kim-Kiselak's work include RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA and protein synthesis mechanisms (2 papers). Caroline Kim-Kiselak is often cited by papers focused on RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA and protein synthesis mechanisms (2 papers). Caroline Kim-Kiselak collaborates with scholars based in United States. Caroline Kim-Kiselak's 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 Marc Güell and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Caroline Kim-Kiselak

12 papers receiving 1.4k citations

Peers

Caroline Kim-Kiselak
Nozomi Tomimatsu United States
Nik Matthews United Kingdom
Juha Rantala Finland
Leizhen Wei United States
Nathalie Conte United Kingdom
Haihui Lu United States
Caroline Kim-Kiselak
Citations per year, relative to Caroline Kim-Kiselak Caroline Kim-Kiselak (= 1×) peers Ronald Lebofsky

Countries citing papers authored by Caroline Kim-Kiselak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Caroline Kim-Kiselak

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Kim-Kiselak. A scholar is included among the top collaborators of Caroline Kim-Kiselak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caroline Kim-Kiselak. Caroline Kim-Kiselak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Kim-Kiselak, Caroline, Rebecca Tang, David C. Metz, et al.. (2021). Gastric Neuroendocrine Tumors: Reappraisal of Type in Predicting Outcome. Annals of Surgical Oncology. 28(13). 8838–8846. 18 indexed citations
2.
Walter, David M., Travis J. Yates, Caroline Kim-Kiselak, et al.. (2019). RB constrains lineage fidelity and multiple stages of tumour progression and metastasis. Nature. 569(7756). 423–427. 62 indexed citations
3.
Walter, David M., Elizabeth L. Buza, John W. Tobias, et al.. (2017). Systematic In Vivo Inactivation of Chromatin-Regulating Enzymes Identifies Setd2 as a Potent Tumor Suppressor in Lung Adenocarcinoma. Cancer Research. 77(7). 1719–1729. 102 indexed citations
4.
Gocheva, Vasilena, Alexandra Naba, Arjun Bhutkar, et al.. (2017). Quantitative proteomics identify Tenascin-C as a promoter of lung cancer progression and contributor to a signature prognostic of patient survival. Proceedings of the National Academy of Sciences. 114(28). E5625–E5634. 113 indexed citations
5.
McFadden, David G., Katerina Politi, Arjun Bhutkar, et al.. (2016). Mutational landscape of EGFR- , MYC- , and Kras- driven genetically engineered mouse models of lung adenocarcinoma. Proceedings of the National Academy of Sciences. 113(42). E6409–E6417. 126 indexed citations
6.
Beliveau, Brian J., Alistair N. Boettiger, Mauricio Avendaño, et al.. (2015). Single-molecule super-resolution imaging of chromosomes and in situ haplotype visualization using Oligopaint FISH probes. Nature Communications. 6(1). 7147–7147. 266 indexed citations
7.
Caswell, Deborah R., Dian Yang, Shin-Heng Chiou, et al.. (2014). Obligate Progression Precedes Lung Adenocarcinoma Dissemination. Cancer Discovery. 4(7). 781–789. 40 indexed citations
8.
Chiou, Shin-Heng, Caroline Kim-Kiselak, Viviana I. Risca, et al.. (2014). A Conditional System to Specifically Link Disruption of Protein-Coding Function with Reporter Expression in Mice. Cell Reports. 7(6). 2078–2086. 8 indexed citations
9.
Yang, Luhan, Prashant Mali, Caroline Kim-Kiselak, & George M. Church. (2014). CRISPR-Cas-Mediated Targeted Genome Editing in Human Cells. Methods in molecular biology. 1114. 245–267. 43 indexed citations
10.
Li, Carman Man-Chung, Guoan Chen, Talya L. Dayton, et al.. (2013). Differential Tks5 isoform expression contributes to metastatic invasion of lung adenocarcinoma. Genes & Development. 27(14). 1557–1567. 55 indexed citations
11.
Yang, Luhan, Marc Güell, Susan Byrne, et al.. (2013). Optimization of scarless human stem cell genome editing. Nucleic Acids Research. 41(19). 9049–9061. 298 indexed citations
12.
Winslow, Monte M., Talya L. Dayton, Roel G.W. Verhaak, et al.. (2011). Suppression of lung adenocarcinoma progression by Nkx2-1. Nature. 473(7345). 101–104. 317 indexed citations

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.

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