Junji Koizumi
- Surgery top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Cancer Research top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Hiroshi MabuchiAkihiro InazuRyoyu TakedaLuis B. AgellonAlan R. TallMaryanne L. BrownC B HeslerSusumu Miyamoto
- Topics
- Lipoproteins and Cardiovascular Health (47 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)Cholesterol and Lipid Metabolism (17 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Junji Koizumi
81 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Surgery 2.5k
- Endocrinology, Diabetes and Metabolism 1.4k
- Molecular Biology 903
- Cancer Research 808
- Cardiology and Cardiovascular Medicine 684
Countries citing papers authored by Junji Koizumi
This map shows the geographic impact of Junji Koizumi'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 Koizumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junji Koizumi more than expected).
Fields of papers citing papers by Junji Koizumi
This network shows the impact of papers produced by Junji Koizumi. 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 Koizumi. The network helps show where Junji Koizumi may publish in the future.
Co-authorship network of co-authors of Junji Koizumi
This figure shows the co-authorship network connecting the top 25 collaborators of Junji Koizumi. A scholar is included among the top collaborators of Junji Koizumi 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 Koizumi. Junji Koizumi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 64 | |
| 3 | Gender differences in preferences for mentoring styles and topics in academic medicine in Japan | 2 |
| 4 | 12 | |
| 5 | 82 | |
| 6 | 97 | |
| 7 | 2 | |
| 8 | 30 | |
| 9 | 4 | |
| 10 | 25 | |
| 11 | 64 | |
| 12 | 49 | |
| 13 | 31 | |
| 14 | The effect of a new HMG CoA reductase inhibitor, BAY w 6228, in combination therapy with colestyramine or probucol for familial hypercholesterolemia (FH) | 1 |
| 15 | 36 | |
| 16 | 2 | |
| 17 | 58 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 1 |
About Junji Koizumi
Junji Koizumi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 83 papers that have together received 3.7k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (47 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers) and Cholesterol and Lipid Metabolism (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Surgery (2.5k citations) and Cancer Research (808 citations). Junji Koizumi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hiroshi Mabuchi, Akihiro Inazu, Ryoyu Takeda, Luis B. Agellon, Alan R. Tall, Maryanne L. Brown, C B Hesler, Susumu Miyamoto, Kouji Kajinami and Atsushi Nohara. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.
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.