Haruko Koizumi
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Endocrine and Autonomic Systems top 5%
- Biochemistry top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Noriko TakedaHitoshi SasaiShinji MiuraTsuyoshi ChibaMasahiko IkedaTakako TomitaIsao TomitaMotonao Nakamura
- Topics
- Growth Hormone and Insulin-like Growth Factors (4 papers)Carcinogens and Genotoxicity Assessment (2 papers)Tea Polyphenols and Effects (2 papers)
- Journals
- Proceedings of the National Academy of SciencesEnvironmental Health PerspectivesJournal of Nutrition
- Partner nations
- JapanIndiaUnited States
In The Last Decade
Haruko Koizumi
18 papers receiving 594 citations
Peers
Comparison fields: 5 of 87
- Pathology and Forensic Medicine 186
- Molecular Biology 141
- Endocrine and Autonomic Systems 141
- Biochemistry 139
- Cellular and Molecular Neuroscience 102
Countries citing papers authored by Haruko Koizumi
This map shows the geographic impact of Haruko 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 Haruko Koizumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haruko Koizumi more than expected).
Fields of papers citing papers by Haruko Koizumi
This network shows the impact of papers produced by Haruko 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 Haruko Koizumi. The network helps show where Haruko Koizumi may publish in the future.
Co-authorship network of co-authors of Haruko Koizumi
This figure shows the co-authorship network connecting the top 25 collaborators of Haruko Koizumi. A scholar is included among the top collaborators of Haruko 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 Haruko Koizumi. Haruko 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 | 4 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 40 | |
| 7 | 263 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 23 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 63 | |
| 14 | 174 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 13 | |
| 19 | 7 |
About Haruko Koizumi
Haruko Koizumi is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Clinical Biochemistry, having authored 19 papers that have together received 630 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Tea Polyphenols and Effects (2 papers). The work is most often cited by research in Biochemistry (139 citations), Endocrine and Autonomic Systems (141 citations) and Pathology and Forensic Medicine (186 citations). Haruko Koizumi has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Noriko Takeda, Hitoshi Sasai, Shinji Miura, Tsuyoshi Chiba, Masahiko Ikeda, Takako Tomita, Isao Tomita, Motonao Nakamura, Keizo Umegaki and Yukiko Miura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Environmental Health Perspectives and Journal of Nutrition.
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.