Heon Seok Kim

2.9k citations
24 papers · 1.9k indexed · 2 hit papers · h-index 14
Topics
CRISPR and Genetic Engineering (16 papers)Single-cell and spatial transcriptomics (5 papers)Viral Infections and Immunology Research (5 papers)

In The Last Decade

Heon Seok Kim

24 papers receiving 1.8k citations

Hit Papers

Analysis of off-target effects of CRISPR/Cas-derived RNA-...2013202620172021201320182505007501000

Peers

Heon Seok Kim
Comparison fields: 5 of 93
  • Molecular Biology 1.7k
  • Genetics 471
  • Business and International Management 217
  • Plant Science 175
  • Aging 149
Replace Marcelle Tuttle with:
Marcelle Tuttle United States
Alexandra East Singapore
Chris D. Richardson United States
Erwei Zuo China
Jiazhi Hu China
Kayeong Lim South Korea
Siyuan Tan United States
Vincent Cascio United States
Elo Leung United States
Xiaohui Zhang China
Heon Seok Kim relative to Marcelle Tuttle United States Marcelle Tuttle's profile →
Citations per field
00.5×1.5×
Marcelle Tuttle · 1×
Citations per year

Countries citing papers authored by Heon Seok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Heon Seok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heon Seok Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Heon Seok Kim. A scholar is included among the top collaborators of Heon Seok 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 Heon Seok Kim. Heon Seok 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
#WorkIndexed citations
1 2
2 19
3 10
4 3
5 15
6 18
7 2
8 12
9 3
10 17
11 12
12 23
13 3
14 13
15 65
16 91
17 33
18
Adenine base editing in mouse embryos and an adult mouse model of Duchenne muscular dystrophybreakdown →
340
19 33
20
Analysis of off-target effects of CRISPR/Cas-derived RNA-guided endonucleases and nickasesbreakdown →
1079

About Heon Seok Kim

Heon Seok Kim is a scholar working on Aging, Business and International Management and Virology, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), Single-cell and spatial transcriptomics (5 papers) and Viral Infections and Immunology Research (5 papers). The work is most often cited by research in Business and International Management (217 citations), Aging (149 citations) and Molecular Biology (1.7k citations). Heon Seok Kim has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Jin‐Soo Kim, Sangsu Bae, Yongsub Kim, Jiyeon Kweon, Sojung Kim, Seung Woo Cho, Kayeong Lim, Hyunji Lee, Da-eun Kim and Taeyoung Koo. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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