Jae-Bum Bae

436 total citations
8 papers, 261 citations indexed

About

Jae-Bum Bae is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Jae-Bum Bae has authored 8 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Jae-Bum Bae's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (3 papers) and Cancer-related gene regulation (3 papers). Jae-Bum Bae is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (3 papers) and Cancer-related gene regulation (3 papers). Jae-Bum Bae collaborates with scholars based in South Korea, Nepal and Singapore. Jae-Bum Bae's co-authors include Young-Joon Kim, Young‐gun Lee, Jaemyun Lyu, Jung Kyoon Choi, Sun-Min Lee, Kenichiro Hata, Yungdae Yun, Chiharu Tayama, Je Kyung Seong and Jung‐Hoon Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Annals of the Rheumatic Diseases.

In The Last Decade

Jae-Bum Bae

8 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jae-Bum Bae South Korea	7	192	56	47	35	27	8	261
Arnaud Chignon Canada	7	76 0.4×	44 0.8×	44 0.9×	26 0.7×	17 0.6×	9	172
Georgi Manukjan Germany	11	88 0.5×	32 0.6×	39 0.8×	20 0.6×	19 0.7×	26	265
Yanlai Lu China	8	89 0.5×	16 0.3×	99 2.1×	44 1.3×	16 0.6×	10	228
Timothy Lax United States	8	123 0.6×	63 1.1×	28 0.6×	19 0.5×	6 0.2×	10	314
Nila H. Servaas Netherlands	9	93 0.5×	14 0.3×	96 2.0×	50 1.4×	21 0.8×	14	225
Alessandra Venanzi Italy	6	62 0.3×	50 0.9×	110 2.3×	22 0.6×	23 0.9×	12	257
Stephen DeWall United States	7	124 0.6×	38 0.7×	93 2.0×	7 0.2×	19 0.7×	12	227
Eileen Frenzel Germany	7	142 0.7×	27 0.5×	101 2.1×	45 1.3×	12 0.4×	7	275
Jennifer A. Bassetti United States	2	123 0.6×	38 0.7×	18 0.4×	28 0.8×	19 0.7×	4	173
Julie Chan United Kingdom	4	94 0.5×	12 0.2×	71 1.5×	9 0.3×	21 0.8×	6	203

Countries citing papers authored by Jae-Bum Bae

Since Specialization

Citations

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

Fields of papers citing papers by Jae-Bum Bae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae-Bum Bae

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

All Works

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8 of 8 papers shown

1.

Ha, Eunji, So‐Young Bang, Jiwoo Lim, et al.. (2021). Genetic variants shape rheumatoid arthritis-specific transcriptomic features in CD4+ T cells through differential DNA methylation, explaining a substantial proportion of heritability. Annals of the Rheumatic Diseases. 80(7). 876–883. 18 indexed citations

2.

Koh, In-Uk, Jae-Bum Bae, Eun-Seok Jeon, et al.. (2016). Methylome analysis reveals alterations in DNA methylation in the regulatory regions of left ventricle development genes in human dilated cardiomyopathy. Genomics. 108(2). 84–92. 30 indexed citations

3.

Koh, In-Uk, Jae-Bum Bae, Eun-Seok Jeon, et al.. (2016). Data of methylome and transcriptome derived from human dilated cardiomyopathy. Data in Brief. 9. 382–387. 6 indexed citations

4.

Lee, Sun-Min, Young‐gun Lee, Jae-Bum Bae, et al.. (2014). HBx induces hypomethylation of distal intragenic CpG islands required for active expression of developmental regulators. Proceedings of the National Academy of Sciences. 111(26). 9555–9560. 52 indexed citations

5.

Woo, Yu Mi, Jae-Bum Bae, Young‐gun Lee, et al.. (2013). Genome-wide methylation profiling of ADPKD identified epigenetically regulated genes associated with renal cyst development. Human Genetics. 133(3). 281–297. 44 indexed citations

6.

Bae, Jae-Bum, Jaemyun Lyu, Hei Sung Kim, et al.. (2012). The characteristics of genome-wide DNA methylation in naïve CD4+ T cells of patients with psoriasis or atopic dermatitis. Biochemical and Biophysical Research Communications. 422(1). 157–163. 41 indexed citations

7.

Park, Jung‐Hoon, Jinah Park, Jung Kyoon Choi, et al.. (2011). Identification of DNA methylation changes associated with human gastric cancer. BMC Medical Genomics. 4(1). 82–82. 51 indexed citations

8.

Liu, Lingling, Shamima Akhter, Jae-Bum Bae, et al.. (2009). SNM1B/Apollo interacts with Astrin and is required for the prophase cell cycle checkpoint. Cell Cycle. 8(4). 628–638. 19 indexed citations

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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