Hai Kwan Jung

1.8k citations
20 papers · 1.5k indexed · 1 hit paper · h-index 15

Hai Kwan Jung

18 papers receiving 1.4k citations

Hit Papers

The consensus motif for phosphorylation by cyclin D1-Cdk4...5181996202620062016100200300400500

Peers

Hai Kwan Jung
Comparison fields: 5 of 87
  • Oncology 416
  • Molecular Biology 959
  • Biological Psychiatry 27
  • Genetics 299
  • Molecular Medicine 49
Replace Stephanie E. Brown with:
Stephanie E. Brown United Kingdom
Ben Van Houten United States
Cheol Yong Choi South Korea
Byung Woo Han South Korea
H F Kung United States
Alain Jacquemin‐Sablon France
Alan Yueh‐Luen Lee Taiwan
Theodore Fotsis Greece
Ivana Celic United States
Hai Kwan Jung relative to Stephanie E. Brown United Kingdom Stephanie E. Brown's profile →
Citations per field
00.5×3.0×
Stephanie E. Brown · 1×
Citations per year

Countries citing papers authored by Hai Kwan Jung

Since Specialization
Citations

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

Fields of papers citing papers by Hai Kwan Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Kwan Jung. 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 Hai Kwan Jung. The network helps show where Hai Kwan Jung may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hai Kwan Jung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hai Kwan Jung Line = papers co-authored together Hai Kwan Jung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 200621
4 200467
5 200455
6 20046
7 200467
8 2003140
9 200231
10 200225
11 200214
12 1999129
13
The consensus motif for phosphorylation by cyclin D1-Cdk4 is different from that for phosphorylation by cyclin A/E-Cdk2.breakdown →
1996518
14 199225
15 1991102
16 199039
17 199038
18 1989120
19 198913
20 198969

About Hai Kwan Jung

Hai Kwan Jung is a scholar working on Genetics, Molecular Medicine and Molecular Biology, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), RNA and protein synthesis mechanisms (6 papers), Bacteriophages and microbial interactions (4 papers), Tea Polyphenols and Effects (2 papers), DNA Repair Mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer-related Molecular Pathways (2 papers) and Redox biology and oxidative stress (2 papers). The work is most often cited by research in Oncology (416 citations), Molecular Biology (959 citations) and Biological Psychiatry (27 citations). Hai Kwan Jung has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Fumitoshi Ishino, Michio Matsuhashi, Masaaki Wachi, Masato Ikeda, Hideaki Higashi, Katsuyuki Tamai, K Segawa, Eisaku Yoshida, Susumu Nishimura and Jun‐ya Kato. Their work appears in journals such as Journal of Bacteriology, Journal of Toxicology and Environmental Health, Skin Pharmacology and Physiology, The EMBO Journal and Cancer Letters.

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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