Yangjin Bae

2.3k citations
22 papers · 1.6k · 1 hit paper · h-index 16

Impact in

Papers in

    • Bone Metabolism and Diseases 5
    • Circular RNAs in diseases 3
    • Developmental Biology and Gene Regulation 3
    • TGF-β signaling in diseases 3

Yangjin Bae

22 papers receiving 1.6k citations

Yangjin Bae's Hit Papers

The transcriptional repressor JHDM3A demethylates trimethyl histone H3 lysine 9 and lysine 36 2006 · 505 citations
5050+6+13Years since publication100200300400500

Peers

Yangjin Bae
Comparison fields: 5 of 99
  • Cancer Research 315
  • Pharmacology 129
  • Molecular Biology 1.0k
  • Oncology 257
  • Genetics 221
Replace José M. Larios with:
José M. Larios United States
Naomoto Harada Japan
Andrew Sunters United Kingdom
Gustavo A. Miranda‐Carboni United States
Jan‐Wilhelm Kornfeld Germany
Suyoun Chung Japan
Sharmistha Chakraborty United States
Axelle Cadoret France
Lydia W.T. Cheung Hong Kong
Su Jane Rutledge United States
Yangjin Bae relative to José M. Larios United States José M. Larios's profile →
Citations per field
00.5×1.5×2.4×
José M. Larios · 1×
Citations per year

Countries citing papers authored by Yangjin Bae

Since Specialization
Citations

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

Fields of papers citing papers by Yangjin Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yangjin Bae, 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 Yangjin Bae Line = papers co-authored together Yangjin Bae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The transcriptional repressor JHDM3A demethylates trimethyl histone H3 lysine 9 and lysine 36
Hit paper breakdown →
2006505
2 2012201
3 2006157
4 2013116
5 200491
6 201782
7 200271
8 202065
9 201254
10 201754
11 200444
12 201340
13 201331
14 201629
15 201526
16 201526
17 202211
18 20229
19 20067
20 20166

About Yangjin Bae

Yangjin Bae is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Pharmacology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Circular RNAs in diseases (3 papers), interferon and immune responses (3 papers), Developmental Biology and Gene Regulation (3 papers), Estrogen and related hormone effects (3 papers), TGF-β signaling in diseases (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (315 citations), Pharmacology (129 citations), Molecular Biology (1.0k citations), Oncology (257 citations) and Genetics (221 citations). Yangjin Bae has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Jongsook Kim Kemper, Brendan Lee, Hediye Erdjument‐Bromage, Yi Zhang, Robert J. Klose, Paul Tempst, Dianzheng Zhang, Jiemin Wong, Kenichi Yamane and Ji Miao. Their work appears in journals such as Journal of Bone and Mineral Research, Human Molecular Genetics, Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Visualized Experiments.

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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