Jaewoong Bae

512 total citations · 1 hit paper
15 papers, 281 citations indexed

About

Jaewoong Bae is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jaewoong Bae has authored 15 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jaewoong Bae's work include Gut microbiota and health (10 papers), Food Allergy and Anaphylaxis Research (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Jaewoong Bae is often cited by papers focused on Gut microbiota and health (10 papers), Food Allergy and Anaphylaxis Research (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Jaewoong Bae collaborates with scholars based in South Korea and United States. Jaewoong Bae's co-authors include Sung-Hyun Yun, Yong‐Hwa Park, Jin‐Seok Park, Sook-Hyun Park, Ben Kang, Yun-Ah Lee, Gwoncheol Park, Yon Ho Choe, Jisook Kim and Hakdong Shin and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Nutrients.

In The Last Decade

Jaewoong Bae

14 papers receiving 277 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis

2023 88 citations Sung-Hyun Yun, Jaewoong Bae et al. Data in Brief profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaewoong Bae South Korea	8	95	82	61	38	34	15	281
Jonathan Jaeger Belgium	8	124 1.3×	20 0.2×	44 0.7×	8 0.2×	191 5.6×	16	594
Luis A. Caicedo Colombia	9	70 0.7×	58 0.7×	4 0.1×	29 0.8×	76 2.2×	35	357
Shin‐Yi Chen Taiwan	15	51 0.5×	29 0.4×	13 0.2×	10 0.3×	1 0.0×	32	516
Yahui Feng China	9	13 0.1×	9 0.1×	14 0.2×	6 0.2×	16 0.5×	25	369
Massimiliano Russo United States	8	5 0.1×	12 0.1×	20 0.3×	48 1.3×	3 0.1×	60	239
Maria Neumann Germany	6	31 0.3×	36 0.4×	9 0.1×	31 0.8×	6 0.2×	11	293
Riley Riley United Kingdom	8	35 0.4×	4 0.0×	90 1.5×	6 0.2×	64 1.9×	25	341
Matthias Franke Germany	11	22 0.2×	75 0.9×	3 0.0×	32 0.8×	2 0.1×	37	341
Sara Volpi Italy	11	22 0.2×	97 1.2×	6 0.1×	80 2.1×		24	361
James L. Richards Australia	4	150 1.6×	2 0.0×	68 1.1×	5 0.1×	32 0.9×	6	250

Countries citing papers authored by Jaewoong Bae

Since Specialization

Citations

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

Fields of papers citing papers by Jaewoong Bae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaewoong Bae

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Kim, Sukyung, Hyein Jeong, Kyunga Kim, et al.. (2024). Postpartum Maternal Anxiety Affects the Development of Food Allergy Through Dietary and Gut Microbial Diversity During Early Infancy. Allergy Asthma and Immunology Research. 16(2). 154–154. 2 indexed citations

Kim, Sukyung, Se Young Park, Jin-Young Lee, et al.. (2024). Advanced fructo-oligosaccharides improve itching and aberrant epidermal lipid composition in children with atopic dermatitis. Frontiers in Microbiology. 15. 1383779–1383779. 5 indexed citations

Jeong, Chaiho, Han-Sang Baek, Jaewoong Bae, et al.. (2024). Gut microbiome in the Graves’ disease: Comparison before and after anti-thyroid drug treatment. PLoS ONE. 19(5). e0300678–e0300678. 4 indexed citations

Kim, Sang Hoon, et al.. (2024). The Effect of the Lacticaseibacillus paracasei BEPC22 and Lactiplantibacillus plantarum BELP53 Combination (BN-202M) on Body Fat Percentage Loss in Overweight Individuals: A Randomized, Double-Blind, Placebo-Controlled Study. Nutrients. 16(13). 1993–1993. 1 indexed citations

Lee, Sangwon, et al.. (2024). A Study on a Prognostics and Health Management (PHM) Based on Fracture Mechanics Using Deep Learning. SAE technical papers on CD-ROM/SAE technical paper series. 1.

Lee, Na‐Rae, Tae-Jun Kwon, Jaewoong Bae, et al.. (2023). Combination of Lacticaseibacillus paracasei BEPC22 and Lactiplantibacillus plantarum BELP53 attenuates fat accumulation and alters the metabolome and gut microbiota in mice with high-fat diet-induced obesity. Food & Function. 15(2). 647–662. 9 indexed citations

Lee, Jungnam, et al.. (2023). Gut Microbial Profile Changes in Patients with Gallbladder Stones after UDCA/CDCA Treatment. Biomedicines. 11(3). 777–777. 3 indexed citations

Yun, Sung-Hyun, et al.. (2023). Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis. Data in Brief. 48. 109049–109049. 88 indexed citations breakdown →

Kim, Jihyun, Byung Eui Kim, Elena Goleva, et al.. (2023). Alterations of Epidermal Lipid Profiles and Skin Microbiome in Children With Atopic Dermatitis. Allergy Asthma and Immunology Research. 15(2). 186–186. 19 indexed citations

10.

Kim, Hyunmi, Minyoung Jung, Byung Eui Kim, et al.. (2022). Dietary Diversity during Early Infancy Increases Microbial Diversity and Prevents Egg Allergy in High-Risk Infants. Immune Network. 22(2). e17–e17. 13 indexed citations

11.

Lee, Yun-Ah, et al.. (2022). Sarcopenia in community-dwelling older adults is associated with the diversity and composition of the gut microbiota. Experimental Gerontology. 167. 111927–111927. 28 indexed citations

12.

Cho, Young-Sun, et al.. (2022). Changes to Gut Microbiota Following Systemic Antibiotic Administration in Infants. Antibiotics. 11(4). 470–470. 24 indexed citations

13.

Lee, Jungnam, et al.. (2022). Bile Microbiome in Patients with Recurrent Common Bile Duct Stones and Correlation with the Duodenal Microbiome. Life. 12(10). 1540–1540. 6 indexed citations

14.

Park, Jin‐Seok, et al.. (2021). Bile Microbiota in Patients with Pigment Common Bile Duct Stones. Journal of Korean Medical Science. 36(15). e94–e94. 18 indexed citations

15.

Bae, Jaewoong, Mi Jin Kim, Gwoncheol Park, et al.. (2020). Delayed Establishment of Gut Microbiota in Infants Delivered by Cesarean Section. Frontiers in Microbiology. 11. 2099–2099. 61 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.

Explore authors with similar magnitude of impact