Akiko Matsuda
- Cancer Research top 2%
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 5
- Molecular Biology top 10%
- Natural product bioactivities and synthesis 12
- Phytochemical Studies and Bioactivities 10
- Extracellular vesicles in disease 9
- Plant biochemistry and biosynthesis 6
- Pharmacology top 5%
- Hepatology top 10%
- Biochemistry top 10%
-
- Pancreatic and Hepatic Oncology Research 7
-
- Pancreatitis Pathology and Treatment 5
- Co-authors
- Tushar PatelIrene K. YanMansi ParasramkaMarcel KlingenbergSven DiederichsSayantan MajiItiro YosiokaHiroaki Haga
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (3 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Akiko Matsuda
74 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Cancer Research 807
- Molecular Biology 1.2k
- Pharmacology 127
- Hepatology 88
- Biochemistry 63
Countries citing papers authored by Akiko Matsuda
This map shows the geographic impact of Akiko Matsuda'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 Akiko Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Matsuda more than expected).
Fields of papers citing papers by Akiko Matsuda
This network shows the impact of papers produced by Akiko Matsuda. 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 Akiko Matsuda. The network helps show where Akiko Matsuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiko Matsuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2021 | 23 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 6 | |
| 5 | 2020 | 11 | |
| 6 | 2018 | 30 | |
| 7 | 2017 | 287 | |
| 8 | 2017 | 1 | |
| 9 | 2016 | 8 | |
| 10 | 2016 | 16 | |
| 11 | 2016 | 173 | |
| 12 | 2013 | 8 | |
| 13 | 2011 | 97 | |
| 14 | 2009 | 46 | |
| 15 | 2009 | 59 | |
| 16 | 2007 | 14 | |
| 17 | 2007 | 4 | |
| 18 | [A comparative study of the physical conditions of elderly people with care needs receiving rehabilitation services from a nurse or a physiotherapist from a visiting nurse service station]. | 2005 | 2 |
| 19 | 2005 | 65 | |
| 20 | 2004 | 1 |
About Akiko Matsuda
Akiko Matsuda is a scholar working on Cancer Research, Pharmacology and Molecular Biology, having authored 77 papers that have together received 2.2k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (12 papers), Phytochemical Studies and Bioactivities (10 papers), MicroRNA in disease regulation (9 papers), Extracellular vesicles in disease (9 papers), Pancreatic and Hepatic Oncology Research (7 papers), Plant biochemistry and biosynthesis (6 papers), Pancreatitis Pathology and Treatment (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (807 citations), Molecular Biology (1.2k citations) and Pharmacology (127 citations). Akiko Matsuda has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Tushar Patel, Irene K. Yan, Mansi Parasramka, Marcel Klingenberg, Sven Diederichs, Sayantan Maji, Itiro Yosioka, Hiroaki Haga, Isao Kitagawa and Junichi Hasegawa. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.