Rachel Kim

3.7k total citations
50 papers, 2.5k citations indexed

About

Rachel Kim is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Rachel Kim has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Surgery. Recurrent topics in Rachel Kim's work include CRISPR and Genetic Engineering (12 papers), Pluripotent Stem Cells Research (11 papers) and Vibrio bacteria research studies (3 papers). Rachel Kim is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), Pluripotent Stem Cells Research (11 papers) and Vibrio bacteria research studies (3 papers). Rachel Kim collaborates with scholars based in United States, South Korea and United Kingdom. Rachel Kim's co-authors include Amander T. Clark, Kathrin Plath, Anna Sahakyan, Di Chen, Wanlu Liu, Daniel Braas, Steven E. Jacobsen, William A. Pastor, Hong Wu and Heather R. Christofk and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Rachel Kim

46 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rachel Kim United States 24 1.8k 390 219 218 198 50 2.5k
Hung‐Chih Kuo Taiwan 32 1.7k 1.0× 371 1.0× 448 2.0× 208 1.0× 304 1.5× 90 2.8k
Yan Zhou China 24 1.6k 0.9× 227 0.6× 190 0.9× 490 2.2× 132 0.7× 104 2.6k
Femke Simmer Netherlands 20 3.1k 1.8× 457 1.2× 194 0.9× 340 1.6× 154 0.8× 51 4.2k
Reija Autio Finland 23 1.5k 0.9× 324 0.8× 224 1.0× 241 1.1× 68 0.3× 50 2.3k
Florence Bernex France 27 1.0k 0.6× 348 0.9× 252 1.2× 183 0.8× 266 1.3× 78 2.2k
Guillaume Pavlovic France 21 938 0.5× 320 0.8× 199 0.9× 74 0.3× 160 0.8× 32 2.1k
Kamel Mamchaoui France 37 2.6k 1.5× 345 0.9× 412 1.9× 159 0.7× 93 0.5× 94 3.3k
Samira Kiani United States 19 3.2k 1.8× 620 1.6× 172 0.8× 115 0.5× 103 0.5× 32 3.6k
Junho K. Hur South Korea 23 1.7k 1.0× 256 0.7× 119 0.5× 134 0.6× 79 0.4× 60 2.1k
Hesam Dehghani Iran 19 1.4k 0.8× 222 0.6× 78 0.4× 178 0.8× 77 0.4× 101 1.8k

Countries citing papers authored by Rachel Kim

Since Specialization
Citations

This map shows the geographic impact of Rachel Kim'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 Rachel Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Kim more than expected).

Fields of papers citing papers by Rachel Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel Kim. 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 Rachel Kim. The network helps show where Rachel Kim may publish in the future.

Co-authorship network of co-authors of Rachel Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Kim. A scholar is included among the top collaborators of Rachel Kim 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 Rachel Kim. Rachel Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Rachel, Yeonee Seol, Jing Xu, et al.. (2024). Highly sensitive mapping of in vitro type II topoisomerase DNA cleavage sites with SHAN-seq. Nucleic Acids Research. 52(16). 9777–9787.
2.
Hayes, Beth M., Johannes Schneider, Jing Wang, et al.. (2023). Lipopolysaccharide transport regulates bacterial sensitivity to a cell wall-degrading intermicrobial toxin. PLoS Pathogens. 19(6). e1011454–e1011454. 2 indexed citations
4.
Radkov, Atanas, Sebastián Flores, Rachel Kim, et al.. (2022). Antibacterial potency of type VI amidase effector toxins is dependent on substrate topology and cellular context. eLife. 11. 6 indexed citations
5.
Paik, Paul K., Pang‐Dian Fan, Besnik Qeriqi, et al.. (2022). Targeting NFE2L2/KEAP1 Mutations in Advanced NSCLC With the TORC1/2 Inhibitor TAK-228. Journal of Thoracic Oncology. 18(4). 516–526. 22 indexed citations
6.
Hayes, Beth M., Atanas Radkov, Fauna Yarza, et al.. (2020). Ticks Resist Skin Commensals with Immune Factor of Bacterial Origin. Cell. 183(6). 1562–1571.e12. 28 indexed citations
7.
Chitiashvili, Tsotne, Iris Dror, Rachel Kim, et al.. (2020). Female human primordial germ cells display X-chromosome dosage compensation despite the absence of X-inactivation. Nature Cell Biology. 22(12). 1436–1446. 54 indexed citations
8.
Kim, Rachel, et al.. (2019). Partitioning open-plan workspaces via augmented reality. Personal and Ubiquitous Computing. 26(3). 609–624. 17 indexed citations
9.
Kim, Rachel. (2019). The Systematic Literature Review of Teacher Agency and the Support Plan for Teacher Agency. 25(5). 105–128. 2 indexed citations
10.
Pastor, William A., Wanlu Liu, Di Chen, et al.. (2018). TFAP2C regulates transcription in human naive pluripotency by opening enhancers. Nature Cell Biology. 20(5). 553–564. 115 indexed citations
11.
Sosa, Enrique, et al.. (2017). An integration-free, virus-free rhesus macaque induced pluripotent stem cell line (riPSC90) from embryonic fibroblasts. Stem Cell Research. 21. 5–8. 7 indexed citations
12.
Pastor, William A., Di Chen, Wanlu Liu, et al.. (2016). Naive Human Pluripotent Cells Feature a Methylation Landscape Devoid of Blastocyst or Germline Memory. Cell stem cell. 18(3). 323–329. 211 indexed citations
13.
Sosa, Enrique, et al.. (2016). An integration-free, virus-free rhesus macaque induced pluripotent stem cell line (riPSC89) from embryonic fibroblasts. Stem Cell Research. 17(2). 444–447. 10 indexed citations
14.
Sahakyan, Anna, Rachel Kim, Constantinos Chronis, et al.. (2016). Human Naive Pluripotent Stem Cells Model X Chromosome Dampening and X Inactivation. Cell stem cell. 20(1). 87–101. 163 indexed citations
15.
Lee, Yonghyun, et al.. (2015). Celecoxib coupled to dextran via a glutamic acid linker yields a polymeric prodrug suitable for colonic delivery. Drug Design Development and Therapy. 9. 4105–4105. 11 indexed citations
16.
Singh, Naveena, Guangming Han, Asma Faruqi, et al.. (2014). Expanding the Morphologic Spectrum of Differentiated VIN (dVIN) Through Detailed Mapping of Cases With p53 Loss. The American Journal of Surgical Pathology. 39(1). 52–60. 61 indexed citations
17.
Kim, Rachel, Ziwei Li, Víctor E. Márquez, et al.. (2011). Derivation of new human embryonic stem cell lines reveals rapid epigenetic progression in vitro that can be prevented by chemical modification of chromatin. Human Molecular Genetics. 21(4). 751–764. 46 indexed citations
18.
Gregorian, Caroline, Jonathan Nakashima, John J. Ohab, et al.. (2009). PtenDeletion in Adult Neural Stem/Progenitor Cells Enhances Constitutive Neurogenesis. Journal of Neuroscience. 29(6). 1874–1886. 221 indexed citations
19.
Kim, Min Sun, et al.. (2007). Effects of Mushroom Supplementation on Blood Glucose Concentration, Lipid Profile, and Antioxidant Enzyme Activities in Patients with Type 2 Diabetes Mellitus. The Korean Journal of Nutrition. 40(4). 327–333. 8 indexed citations
20.
Son, Bo‐Kyung, et al.. (2006). An Evaluation of Changes in the Allergenicity of Kochujang upon Preparation Using Aloe Extract. 9(4). 317–322. 1 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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