Nahye Kim

511 total citations
15 papers, 270 citations indexed

About

Nahye Kim is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Nahye Kim has authored 15 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Physiology. Recurrent topics in Nahye Kim's work include Receptor Mechanisms and Signaling (5 papers), CRISPR and Genetic Engineering (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Nahye Kim is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), CRISPR and Genetic Engineering (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Nahye Kim collaborates with scholars based in South Korea, United States and Ethiopia. Nahye Kim's co-authors include Seokjoong Kim, Seonwoo Min, Sung‐Rae Cho, Jinman Park, Jung Hwa Seo, Hui Kwon Kim, Jae Woo Choi, Sungtae Lee, Sungroh Yoon and Jin‐Ju Byeon and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Nature Chemical Biology.

In The Last Decade

Nahye Kim

12 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nahye Kim South Korea 7 237 48 28 27 22 15 270
Chase C. Suiter United States 4 273 1.2× 76 1.6× 37 1.3× 15 0.6× 8 0.4× 5 303
Grace N. Hibshman United States 5 224 0.9× 28 0.6× 13 0.5× 28 1.0× 9 0.4× 6 239
William J. Valente United States 4 118 0.5× 20 0.4× 12 0.4× 11 0.4× 8 0.4× 6 146
Anna Vincent Germany 2 330 1.4× 92 1.9× 5 0.2× 6 0.2× 5 0.2× 3 345
Yangcan Chen China 6 101 0.4× 21 0.4× 16 0.6× 10 0.4× 13 0.6× 9 116
Nicole Rimann Switzerland 6 172 0.7× 71 1.5× 6 0.2× 8 0.3× 7 0.3× 12 261
Qi-Gang Li China 8 126 0.5× 79 1.6× 76 2.7× 9 0.4× 10 257
Chintan Joshi United States 10 256 1.1× 25 0.5× 12 0.4× 1 0.0× 17 0.8× 13 316
Linus Butt Germany 6 86 0.4× 44 0.9× 6 0.2× 8 0.3× 9 0.4× 10 146
Julius Upmeier zu Belzen Germany 4 66 0.3× 14 0.3× 8 0.3× 10 0.4× 2 0.1× 5 99

Countries citing papers authored by Nahye Kim

Since Specialization
Citations

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

Fields of papers citing papers by Nahye Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahye Kim

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

All Works

15 of 15 papers shown
2.
Kim, Nahye, Sungjae Kim, Jung Hwa Seo, et al.. (2023). Deep learning models to predict the editing efficiencies and outcomes of diverse base editors. Nature Biotechnology. 42(3). 484–497. 39 indexed citations
3.
Kim, Young-hoon, Nahye Kim, Seonwoo Min, et al.. (2023). Sniper2L is a high-fidelity Cas9 variant with high activity. Nature Chemical Biology. 19(8). 972–980. 33 indexed citations
4.
Fang, Francia, et al.. (2023). Diameter and depth of femoral vessels by duplex ultrasound. The Journal of Vascular Access. 26(1). 162–167.
5.
Dreizin, David, Yan Chang, Gary Yang, et al.. (2022). A pilot study of deep learning-based CT volumetry for traumatic hemothorax. Emergency Radiology. 29(6). 995–1002. 12 indexed citations
6.
Kim, Nahye, Hui Kwon Kim, Sungtae Lee, et al.. (2020). Prediction of the sequence-specific cleavage activity of Cas9 variants. Nature Biotechnology. 38(11). 1328–1336. 146 indexed citations
7.
Park, Yuri, Min‐Ho Park, Jin‐Ju Byeon, et al.. (2020). Assessment of Pharmacokinetics and Metabolism Profiles of SCH 58261 in Rats Using Liquid Chromatography–Mass Spectrometric Method. Molecules. 25(9). 2209–2209. 2 indexed citations
8.
Byeon, Jin‐Ju, Min‐Ho Park, Yuri Park, et al.. (2020). In Vitro, In Silico, and In Vivo Assessments of Pharmacokinetic Properties of ZM241385. Molecules. 25(5). 1106–1106. 7 indexed citations
11.
Park, Min‐Ho, et al.. (2018). Market Trends of antibody-drug conjugate and its new platform technologies. Yakhak Hoeji. 62(3). 158–170. 1 indexed citations
13.

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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