Jae‐Han Jeon

3.8k citations
93 papers · 2.4k indexed · 1 hit paper · h-index 27
Topics
Liver Disease Diagnosis and Treatment (11 papers)Adipose Tissue and Metabolism (8 papers)Thyroid Cancer Diagnosis and Treatment (8 papers)

In The Last Decade

Jae‐Han Jeon

88 papers receiving 2.4k citations

Hit Papers

Vascular Calcification—New Insights into Its Mechanism2020202620222024202050100150200250

Peers

Jae‐Han Jeon
Comparison fields: 5 of 130
  • Molecular Biology 912
  • Physiology 417
  • Endocrinology, Diabetes and Metabolism 359
  • Epidemiology 325
  • Surgery 312
Replace Saša Frank with:
Saša Frank Austria
Qing Zhu China
Anna V. Mathew United States
Yuewen Gong Canada
Tatsuo Kawai Japan
Antonios Chatzigeorgiou Greece
Chu‐Huang Chen Taiwan
Satoshi Ugi Japan
Takeshi Kanda Japan
Giulio Ceolotto Italy
Jae‐Han Jeon relative to Saša Frank Austria Saša Frank's profile →
Citations per field
00.5×1.5×2.4×
Saša Frank · 1×
Citations per year

Countries citing papers authored by Jae‐Han Jeon

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Han Jeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae‐Han Jeon

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 4
4 8
5 12
6 0
7 36
8 2
9 36
10 7
11 58
12 8
13
Vascular Calcification—New Insights into Its Mechanismbreakdown →
295
14 70
15 23
16 41
17 2
18 45
19
A study on the Realtime Update of the Digital-Map by the General Survey Map
1
20
Spatial Crime Analysis using GIS
1

About Jae‐Han Jeon

Jae‐Han Jeon is a scholar working on Endocrinology, Diabetes and Metabolism, Biological Psychiatry and Nephrology, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Adipose Tissue and Metabolism (8 papers) and Thyroid Cancer Diagnosis and Treatment (8 papers). The work is most often cited by research in Nephrology (201 citations), Biochemistry (161 citations) and Endocrinology, Diabetes and Metabolism (359 citations). Jae‐Han Jeon has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include In‐Kyu Lee, In Kyu Lee, Sun‐Joo Lee, Keun‐Gyu Park, Min‐Ji Kim, Themis Thoudam, Chae‐Myeong Ha, Sungmi Park, Yeon‐Kyung Choi and Dongbin Ahn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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