V Narry Kim

2.3k total citations · 2 hit papers
11 papers, 1.8k citations indexed

About

V Narry Kim is a scholar working on Molecular Biology, Cancer Research and Virology. According to data from OpenAlex, V Narry Kim has authored 11 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cancer Research and 1 paper in Virology. Recurrent topics in V Narry Kim's work include RNA Research and Splicing (7 papers), RNA Interference and Gene Delivery (6 papers) and MicroRNA in disease regulation (5 papers). V Narry Kim is often cited by papers focused on RNA Research and Splicing (7 papers), RNA Interference and Gene Delivery (6 papers) and MicroRNA in disease regulation (5 papers). V Narry Kim collaborates with scholars based in South Korea, United States and Netherlands. V Narry Kim's co-authors include Young Kook Kim, Seong Yeon Park, Yoontae Lee, Dhirendra K. Simanshu, Hyeshik Chang, Minju Ha, Dinshaw J. Patel, Jaechul Lim, S. Chul Kwon and Kyu‐Hyeon Yeom and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

V Narry Kim

11 papers receiving 1.7k citations

Hit Papers

Processing of intronic mi... 2006 2026 2012 2019 2007 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V Narry Kim South Korea 10 1.6k 1.1k 126 110 53 11 1.8k
Nicolas Cougot France 11 2.1k 1.3× 797 0.8× 109 0.9× 91 0.8× 89 1.7× 11 2.3k
Christine Ender Germany 9 1.5k 1.0× 880 0.8× 143 1.1× 76 0.7× 40 0.8× 10 1.6k
Greg Wardle United States 5 2.8k 1.8× 1.3k 1.3× 118 0.9× 121 1.1× 62 1.2× 5 2.9k
Run-Wen Yao China 7 2.3k 1.5× 1.6k 1.5× 71 0.6× 120 1.1× 73 1.4× 12 2.5k
Angela N. Brooks United States 13 1.8k 1.1× 534 0.5× 215 1.7× 106 1.0× 104 2.0× 26 2.1k
Wenqian Hu United States 18 1.6k 1.0× 1.0k 1.0× 87 0.7× 196 1.8× 70 1.3× 49 2.0k
Alexander Ulrich Germany 11 2.5k 1.6× 1.2k 1.1× 55 0.4× 116 1.1× 60 1.1× 15 2.7k
Chenguang Gong United States 10 1.6k 1.1× 1.1k 1.1× 89 0.7× 49 0.4× 66 1.2× 14 1.8k
Mohsen Khorshid Switzerland 6 2.9k 1.8× 1.5k 1.4× 62 0.5× 130 1.2× 36 0.7× 6 3.0k
Anna Git United Kingdom 19 1.4k 0.9× 865 0.8× 64 0.5× 101 0.9× 112 2.1× 25 1.7k

Countries citing papers authored by V Narry Kim

Since Specialization
Citations

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

Fields of papers citing papers by V Narry Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V Narry Kim

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

All Works

11 of 11 papers shown
1.
Hong, Yujin, et al.. (2021). STING facilitates nuclear import of herpesvirus genome during infection. Proceedings of the National Academy of Sciences. 118(33). 14 indexed citations
3.
Nguyen, Tuan Anh, et al.. (2018). Microprocessor depends on hemin to recognize the apical loop of primary microRNA. Nucleic Acids Research. 46(11). 5726–5736. 56 indexed citations
4.
Kim, Boseon, Minju Ha, Luuk Loeff, et al.. (2015). TUT 7 controls the fate of precursor micro RNA s by using three different uridylation mechanisms. The EMBO Journal. 34(13). 1801–1815. 85 indexed citations
5.
Lim, Jaechul, Minju Ha, Hyeshik Chang, et al.. (2014). Uridylation by TUT4 and TUT7 Marks mRNA for Degradation. Cell. 159(6). 1365–1376. 236 indexed citations
6.
Kim, Young Kook, Gabbine Wee, Joha Park, et al.. (2013). TALEN-based knockout library for human microRNAs. Nature Structural & Molecular Biology. 20(12). 1458–1464. 59 indexed citations
7.
Yeom, Kyu‐Hyeon, Inha Heo, Jinwoo Lee, et al.. (2011). Single‐molecule approach to immunoprecipitated protein complexes: insights into miRNA uridylation. EMBO Reports. 12(7). 690–696. 64 indexed citations
8.
Sohn, Sun Young, et al.. (2007). Crystal structure of human DGCR8 core. Nature Structural & Molecular Biology. 14(9). 847–853. 92 indexed citations
9.
Kim, Young Kook & V Narry Kim. (2007). Processing of intronic microRNAs. The EMBO Journal. 26(3). 775–783. 633 indexed citations breakdown →
10.
Lee, Yoontae, et al.. (2006). The role of PACT in the RNA silencing pathway. The EMBO Journal. 25(3). 522–532. 511 indexed citations breakdown →
11.
Yu, Seung Shin, et al.. (2006). Control of Splicing Efficiency by the Mouse Histone H2a Element in a Murine Leukemia Virus–based Retroviral Vector. Molecular Therapy. 15(1). 167–172. 16 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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