Makoto Sudo
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Sensory Systems top 5%
Papers in ⓘ
- Co-authors
- Takashi Shimazu (3 shared papers)Yasuhiko Minokoshi (3 shared papers)Satoko Sudo (10 shared papers)Masashi Fukayama (8 shared papers)Ja‐Mun Chong (8 shared papers)Hiroshi Uozaki (8 shared papers)Kazuya Sakuma (8 shared papers)Hideo Nagai (7 shared papers)
- Journals
- Anticancer Research (12 papers)World Journal of Surgical Oncology (4 papers)International Journal of Cancer (4 papers)Annals of Surgical Oncology (3 papers)Anesthesia & Analgesia (3 papers)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Makoto Sudo
87 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 122
- Developmental Neuroscience 159
- Sensory Systems 138
- Cellular and Molecular Neuroscience 401
- Endocrine and Autonomic Systems 122
- Oncology 459
Countries citing papers authored by Makoto Sudo
This map shows the geographic impact of Makoto Sudo'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 Makoto Sudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Sudo more than expected).
Fields of papers citing papers by Makoto Sudo
This network shows the impact of papers produced by Makoto Sudo. 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 Makoto Sudo. The network helps show where Makoto Sudo may publish in the future.
Co-authors
The 25 scholars most cited alongside Makoto Sudo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 323 | |
| 2 | 2018 | 90 | |
| 3 | 1991 | 87 | |
| 4 | 2006 | 85 | |
| 5 | 2003 | 67 | |
| 6 | 2002 | 66 | |
| 7 | 2003 | 62 | |
| 8 | 2013 | 61 | |
| 9 | 2004 | 58 | |
| 10 | 2014 | 53 | |
| 11 | 2000 | 47 | |
| 12 | 2002 | 46 | |
| 13 | 2000 | 46 | |
| 14 | 1991 | 41 | |
| 15 | 2002 | 38 | |
| 16 | 1992 | 35 | |
| 17 | 2000 | 32 | |
| 18 | 2017 | 30 | |
| 19 | 2015 | 30 | |
| 20 | 2005 | 29 |
About Makoto Sudo
Makoto Sudo is a scholar working on Sensory Systems, Developmental Neuroscience, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (10 papers), Cancer-related gene regulation (8 papers), Metastasis and carcinoma case studies (8 papers), Colorectal and Anal Carcinomas (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Developmental Neuroscience (159 citations), Sensory Systems (138 citations), Cellular and Molecular Neuroscience (401 citations), Endocrine and Autonomic Systems (122 citations) and Oncology (459 citations). Makoto Sudo has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Takashi Shimazu, Yasuhiko Minokoshi, Satoko Sudo, Masashi Fukayama, Ja‐Mun Chong, Hiroshi Uozaki, Kazuya Sakuma, Hideo Nagai, Seiji Ozawa and Haruo Okado. Their work appears in journals such as Anticancer Research, World Journal of Surgical Oncology, International Journal of Cancer, Annals of Surgical Oncology and Anesthesia & Analgesia.
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.