Junji Kobayashi

4.8k citations
158 papers · 3.7k indexed · h-index 35
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (70 papers)Lipoproteins and Cardiovascular Health (54 papers)Lipid metabolism and disorders (46 papers)

In The Last Decade

Junji Kobayashi

153 papers receiving 3.6k citations

Peers

Junji Kobayashi
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Surgery 1.4k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Molecular Biology 863
  • Epidemiology 595
Replace Mikko Syvänne with:
Mikko Syvänne Finland
Tjerk W.A. de Bruin Netherlands
Genovefa Kolovou Greece
Shui‐Ping Zhao China
Robin P.F. Dullaart Netherlands
Bryan Brewer United States
John R. Burnett Australia
Jean Dallongeville France
Shizuya Yamashita Japan
Jean Bergeron Canada
Junji Kobayashi relative to Mikko Syvänne Finland Mikko Syvänne's profile →
Citations per field
00.5×
Mikko Syvänne · 1×
Citations per year

Countries citing papers authored by Junji Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Junji Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Junji Kobayashi. A scholar is included among the top collaborators of Junji Kobayashi 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 Junji Kobayashi. Junji Kobayashi 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 0
2 7
3 3
4 64
5 23
6 1
7 16
8 14
9 8
10 12
11 12
12 16
13 23
14 9
15 97
16 5
17 11
18 20
19 115
20 55

About Junji Kobayashi

Junji Kobayashi is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 158 papers that have together received 3.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (70 papers), Lipoproteins and Cardiovascular Health (54 papers) and Lipid metabolism and disorders (46 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Surgery (1.4k citations). Junji Kobayashi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hiroshi Mabuchi, Atsushi Nohara, Akihiro Inazu, Masa‐aki Kawashiri, Masakazu Yamagishi, Junji Koizumi, Katsuyuki Nakajima, Hideaki Bujo, Hayato Tada and Shoji Katsuda. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

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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