Jae‐Hoon Bae

2.2k citations
83 papers · 1.8k · h-index 29

Impact in

Papers in

Jae‐Hoon Bae

80 papers receiving 1.8k citations

Peers

Jae‐Hoon Bae
Comparison fields: 5 of 116
  • Biological Psychiatry 69
  • Biochemistry 124
  • Pathology and Forensic Medicine 296
  • Applied Microbiology and Biotechnology 31
  • Pharmacology 213
Replace Byung‐Min Choi with:
Byung‐Min Choi South Korea
Dae‐Kyu Song South Korea
Mohammad Shamsul Ola Saudi Arabia
Elizabeth Mazzio United States
T.C. Tai Canada
Heena Tabassum India
Rajib Paul India
Chih‐Li Lin Taiwan
Azar Hosseini Iran
Jae‐Hoon Bae relative to Byung‐Min Choi South Korea Byung‐Min Choi's profile →
Citations per field
00.5×1.5×2.4×
Byung‐Min Choi · 1×
Citations per year

Countries citing papers authored by Jae‐Hoon Bae

Since Specialization
Citations

This map shows the geographic impact of Jae‐Hoon 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‐Hoon 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‐Hoon Bae more than expected).

Fields of papers citing papers by Jae‐Hoon Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014102
2 201091
3 200671
4 202054
5 200452
6 201752
7 201551
8 200650
9 201650
10 201046
11 201646
12 202142
13 201141
14 201341
15 201338
16 201737
17 201735
18 201535
19 201334
20 200433

About Jae‐Hoon Bae

Jae‐Hoon Bae is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Epidemiology and Cell Biology, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (18 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cell death mechanisms and regulation (6 papers), Mast cells and histamine (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), NF-κB Signaling Pathways (5 papers), Ubiquitin and proteasome pathways (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Biological Psychiatry (69 citations), Biochemistry (124 citations), Pathology and Forensic Medicine (296 citations), Applied Microbiology and Biotechnology (31 citations) and Pharmacology (213 citations). Jae‐Hoon Bae has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Dae‐Kyu Song, Seung‐Soon Im, Jae‐Hyung Park, Motofumi Kumazoe, Hirofumi Tachibana, Byeong‐Churl Jang, Shuya Yamashita, Seong‐Il Suh, Dong‐Hoon Shin and Won‐Ki Baek. Their work appears in journals such as Biochemical Pharmacology, BMB Reports, Biochemical and Biophysical Research Communications, Current Issues in Molecular Biology and Life Sciences.

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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