Jaeseong Jo
- Molecular Biology
- Epidemiology
- Pediatrics, Perinatology and Child Health top 10%
- Endocrinology, Diabetes and Metabolism
- Pathology and Forensic Medicine
- Co-authors
- Sun Ha JeeHeejin KimmJi Eun YunHeechoul OhrrJonathan M. SametJonathan E. GolubSun Ju LeeJae Woong Sull
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (5 papers)Heme Oxygenase-1 and Carbon Monoxide (5 papers)Neonatal Health and Biochemistry (5 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Jaeseong Jo
14 papers receiving 498 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 212
- Epidemiology 205
- Pediatrics, Perinatology and Child Health 149
- Endocrinology, Diabetes and Metabolism 74
- Pathology and Forensic Medicine 72
Countries citing papers authored by Jaeseong Jo
This map shows the geographic impact of Jaeseong Jo'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 Jaeseong Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaeseong Jo more than expected).
Fields of papers citing papers by Jaeseong Jo
This network shows the impact of papers produced by Jaeseong Jo. 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 Jaeseong Jo. The network helps show where Jaeseong Jo may publish in the future.
Co-authorship network of co-authors of Jaeseong Jo
This figure shows the co-authorship network connecting the top 25 collaborators of Jaeseong Jo. A scholar is included among the top collaborators of Jaeseong Jo 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 Jaeseong Jo. Jaeseong Jo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 15 | |
| 3 | Cigarette smoking and serum bilirubin subtypes in healthy Korean men: the Korea Medical Institute study | 1 |
| 4 | 10 | |
| 5 | 30 | |
| 6 | 19 | |
| 7 | 9 | |
| 8 | 47 | |
| 9 | 21 | |
| 10 | Association between Alcohol Intake and Abdominal Obesity among the Korean Population | 0 |
| 11 | 23 | |
| 12 | 98 | |
| 13 | 54 | |
| 14 | 152 | |
| 15 | Low serum bilirubin level as an independent predictor of stroke incidence: a prospective study in Korean men and women. | 14 |
About Jaeseong Jo
Jaeseong Jo is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology and Pathology and Forensic Medicine, having authored 15 papers that have together received 514 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers) and Neonatal Health and Biochemistry (5 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (149 citations), Epidemiology (205 citations) and Endocrine and Autonomic Systems (32 citations). Jaeseong Jo has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sun Ha Jee, Heejin Kimm, Ji Eun Yun, Heechoul Ohrr, Jonathan M. Samet, Jonathan E. Golub, Sun Ju Lee, Jae Woong Sull, Eun Jung Park and Mikyung Ryu. Their work appears in journals such as PLoS ONE, Stroke and American Journal of Epidemiology.
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.