Yukio Hattori
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Social Psychology top 5%
- Neurology top 5%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Yasuo HoriHiroshi YamashitaIzumi ShibuyaYasushi HayashiYoichi UetaAkiyoshi MoriwakiMohammad AftabuddinKeiko Tanaka
- Topics
- Hemoglobinopathies and Related Disorders (29 papers)Neuroscience and Neuropharmacology Research (17 papers)Iron Metabolism and Disorders (15 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yukio Hattori
97 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 341
- Cellular and Molecular Neuroscience 332
- Social Psychology 238
- Neurology 204
- Endocrine and Autonomic Systems 200
Countries citing papers authored by Yukio Hattori
This map shows the geographic impact of Yukio Hattori'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 Yukio Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukio Hattori more than expected).
Fields of papers citing papers by Yukio Hattori
This network shows the impact of papers produced by Yukio Hattori. 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 Yukio Hattori. The network helps show where Yukio Hattori may publish in the future.
Co-authorship network of co-authors of Yukio Hattori
This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Hattori. A scholar is included among the top collaborators of Yukio Hattori 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 Yukio Hattori. Yukio Hattori 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 | 8 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | Filipino-type β^0-thalassemia has 116 kb deletion: its correct breakpoints and five cases found in Japan | 1 |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 38 | |
| 10 | 18 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 42 | |
| 20 | A New Unstable Hemoglobin Iwata, F8 (α87) His→Arg : Its Structure and Unique Properties | 1 |
About Yukio Hattori
Yukio Hattori is a scholar working on Genetics, Hematology and Cellular and Molecular Neuroscience, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (29 papers), Neuroscience and Neuropharmacology Research (17 papers) and Iron Metabolism and Disorders (15 papers). The work is most often cited by research in Behavioral Neuroscience (111 citations), Endocrine and Autonomic Systems (200 citations) and Neurology (204 citations). Yukio Hattori has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yasuo Hori, Hiroshi Yamashita, Izumi Shibuya, Yasushi Hayashi, Yoichi Ueta, Akiyoshi Moriwaki, Mohammad Aftabuddin, Keiko Tanaka, Yuko Hara and Jun Noguchi. Their work appears in journals such as Blood, The Journal of Physiology and Diabetes.
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.