Motokuni Aoki
- Molecular Biology top 2%
- Surgery top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Hepatology top 1%
- Cancer Research top 2%
- Co-authors
- Ryuichi MorishitaToshio OgiharaYasufumi KanedaYoshiaki TaniyamaKunio MatsumotoJitsuo HigakiHironori NakagamiNaotaka Hashiya
- Topics
- Liver physiology and pathology (30 papers)Angiogenesis and VEGF in Cancer (16 papers)Organ Transplantation Techniques and Outcomes (16 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Motokuni Aoki
119 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 3.0k
- Surgery 1.8k
- Cardiology and Cardiovascular Medicine 931
- Hepatology 897
- Cancer Research 887
Countries citing papers authored by Motokuni Aoki
This map shows the geographic impact of Motokuni Aoki'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 Motokuni Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motokuni Aoki more than expected).
Fields of papers citing papers by Motokuni Aoki
This network shows the impact of papers produced by Motokuni Aoki. 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 Motokuni Aoki. The network helps show where Motokuni Aoki may publish in the future.
Co-authorship network of co-authors of Motokuni Aoki
This figure shows the co-authorship network connecting the top 25 collaborators of Motokuni Aoki. A scholar is included among the top collaborators of Motokuni Aoki 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 Motokuni Aoki. Motokuni Aoki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 27 | |
| 5 | Clinical Trial of Human Gene Therapy Using Hepatocyte Growth Factor Gene Transfer(Translational Research in Cardiovascular Disease, The 69th Annual Scientific Meeting of the Japanese Circulation Society) | 1 |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 39 | |
| 9 | 6 | |
| 10 | Impairment of collateral formation in Lp(a) transgenic mice : Therapeutic angiogenesis induced by human hepatocyte growth factor (HGF) gene | 1 |
| 11 | 25 | |
| 12 | Therapeutic angiogenesis induced by HGF gene in rat diabetic hind limb ischemia model: Molecular mechanisms of delayed angiogenesis in diabetes. | 2 |
| 13 | 18 | |
| 14 | 17 | |
| 15 | 175 | |
| 16 | 69 | |
| 17 | 9 | |
| 18 | 59 | |
| 19 | 40 | |
| 20 | 30 |
About Motokuni Aoki
Motokuni Aoki is a scholar working on Hepatology, Cancer Research and Immunology and Allergy, having authored 122 papers that have together received 6.7k indexed citations. Recurring topics across this work include Liver physiology and pathology (30 papers), Angiogenesis and VEGF in Cancer (16 papers) and Organ Transplantation Techniques and Outcomes (16 papers). The work is most often cited by research in Hepatology (897 citations), Cancer Research (887 citations) and Molecular Biology (3.0k citations). Motokuni Aoki has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Ryuichi Morishita, Toshio Ogihara, Yasufumi Kaneda, Yoshiaki Taniyama, Kunio Matsumoto, Jitsuo Higaki, Hironori Nakagami, Naotaka Hashiya, Toshikazu Nakamura and Keita Yamasaki. Their work appears in journals such as Circulation, Nature Medicine and Circulation Research.
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.