Johnny Kim

3.5k citations
39 papers · 1.9k indexed · 2 hit papers · h-index 19
Topics
Muscle Physiology and Disorders (13 papers)Pluripotent Stem Cells Research (12 papers)CRISPR and Genetic Engineering (9 papers)

In The Last Decade

Johnny Kim

39 papers receiving 1.9k citations

Hit Papers

ATAC-seq footprinting unravels kinetics of transcription ...202020262022202420202021100200300

Peers

Johnny Kim
Comparison fields: 5 of 121
  • Molecular Biology 1.5k
  • Surgery 232
  • Cellular and Molecular Neuroscience 218
  • Genetics 180
  • Physiology 178
Replace Jun‐yi Zhu with:
Jun‐yi Zhu China
Ayumi Kitano United States
Najah T. Nassif Australia
Dajiang Qin China
Christopher B. Jackson Finland
Suzanne E. Peterson United States
Peter Macpherson United Kingdom
Nicholas C. Gomez United States
Malka Nissim‐Rafinia Israel
Vincent Laugel France
Johnny Kim relative to Jun‐yi Zhu China Jun‐yi Zhu's profile →
Citations per field
00.5×
Jun‐yi Zhu · 1×
Citations per year

Countries citing papers authored by Johnny Kim

Since Specialization
Citations

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

Fields of papers citing papers by Johnny Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johnny Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Johnny Kim. A scholar is included among the top collaborators of Johnny 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 Johnny Kim. Johnny 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 4
2 9
3 6
4 23
5 24
6 35
7
ATAC-seq footprinting unravels kinetics of transcription factor binding during zygotic genome activationbreakdown →
314
8 187
9 18
10 49
11 10
12 5
13 96
14 4
15 1
16 212
17 16
18 47
19 51
20 60

About Johnny Kim

Johnny Kim is a scholar working on Aging, Molecular Biology and Genetics, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Pluripotent Stem Cells Research (12 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Aging (81 citations), Molecular Biology (1.5k citations) and Cellular and Molecular Neuroscience (218 citations). Johnny Kim has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Thomas Braun, Stefan Günther, Christoph Lepper, Mario Looso, Chen‐Ming Fan, Sawa Kostin, Thorsten Hoppe, Hans R. Schöler, Kee-Pyo Kim and Jens Preussner. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026