Shozo Kobori
- Surgery top 10%
- Molecular Biology
- Immunology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Co-authors
- Motoaki ShichiriMasakazu SakaiSeikoh HoriuchiHideki HakamataTakeshi MatsumuraAkira MiyazakiToru TakemuraHirofumi Matsuda
- Topics
- Lipoproteins and Cardiovascular Health (11 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Cancer, Lipids, and Metabolism (8 papers)
- Cited by
- BiochemistryImmunologyNephrology
- Journals
- Journal of Biological ChemistryKidney InternationalArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- JapanUnited States
In The Last Decade
Shozo Kobori
35 papers receiving 838 citations
Peers
Comparison fields: 5 of 82
- Surgery 332
- Molecular Biology 266
- Immunology 250
- Endocrinology, Diabetes and Metabolism 175
- Epidemiology 151
Countries citing papers authored by Shozo Kobori
This map shows the geographic impact of Shozo Kobori'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 Shozo Kobori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shozo Kobori more than expected).
Fields of papers citing papers by Shozo Kobori
This network shows the impact of papers produced by Shozo Kobori. 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 Shozo Kobori. The network helps show where Shozo Kobori may publish in the future.
Co-authorship network of co-authors of Shozo Kobori
This figure shows the co-authorship network connecting the top 25 collaborators of Shozo Kobori. A scholar is included among the top collaborators of Shozo Kobori 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 Shozo Kobori. Shozo Kobori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 60 | |
| 4 | 29 | |
| 5 | 8 | |
| 6 | 77 | |
| 7 | 12 | |
| 8 | 35 | |
| 9 | 21 | |
| 10 | 8 | |
| 11 | 87 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 13 | |
| 16 | Glycation of Serum High-and Low-Density Lipoproteins in Diabetic Subjects | 1 |
| 17 | 53 | |
| 18 | 23 | |
| 19 | 13 | |
| 20 | 32 |
About Shozo Kobori
Shozo Kobori is a scholar working on Biochemistry, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 863 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Cancer, Lipids, and Metabolism (8 papers). The work is most often cited by research in Biochemistry (91 citations), Immunology (250 citations) and Nephrology (75 citations). Shozo Kobori has collaborated with scholars based in Japan and United States. Frequent co-authors include Motoaki Shichiri, Masakazu Sakai, Seikoh Horiuchi, Hideki Hakamata, Takeshi Matsumura, Akira Miyazaki, Toru Takemura, Hirofumi Matsuda, Takeshi Biwa and Yoshihiro Sato. Their work appears in journals such as Journal of Biological Chemistry, Kidney International and Arteriosclerosis Thrombosis and Vascular Biology.
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.