Makoto Sudo

2.4k citations
94 papers · 2.0k · h-index 25

Impact in

Papers in

    • Colorectal Cancer Surgical Treatments 5
    • Viral-associated cancers and disorders 5
    • Epigenetics and DNA Methylation 5
    • Cancer-related gene regulation 5

Makoto Sudo

88 papers receiving 1.9k citations

Peers

Makoto Sudo
Comparison fields: 5 of 121
  • Developmental Neuroscience 160
  • Sensory Systems 142
  • Cellular and Molecular Neuroscience 393
  • Endocrine and Autonomic Systems 122
  • Neurology 144
Replace Massimo Dal Monte with:
Massimo Dal Monte Italy
Zhengping Yu China
Se Jin Hwang South Korea
Hélène Castel France
Luigi Formisano Italy
Kōichi Inoue Japan
Francisco S. Cayabyab Canada
Xiaoming Yao China
Ian R. Sweet United States
Makoto Sudo relative to Massimo Dal Monte Italy Massimo Dal Monte's profile →
Citations per field
00.5×1.7×
Massimo Dal Monte · 1×
Citations per year

Countries citing papers authored by Makoto Sudo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Makoto Sudo Line = papers co-authored together Makoto Sudo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001348
2 201892
3 200690
4 199188
5 200274
6 200373
7 200368
8 201363
9 200461
10 201454
11 200050
12 200049
13 200248
14 199142
15 200241
16 199236
17 200533
18 201532
19 200032
20 201730

About Makoto Sudo

Makoto Sudo is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Cellular and Molecular Neuroscience, having authored 94 papers that have together received 2.0k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (5 papers), Epigenetics and DNA Methylation (5 papers), Colorectal Cancer Surgical Treatments (5 papers), Gastric Cancer Management and Outcomes (5 papers), Viral-associated cancers and disorders (5 papers), Cancer-related gene regulation (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). The work is most often cited by research in Developmental Neuroscience (160 citations), Sensory Systems (142 citations), Cellular and Molecular Neuroscience (393 citations), Endocrine and Autonomic Systems (122 citations) and Neurology (144 citations). Makoto Sudo has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Satoko Sudo, Yasuhiko Minokoshi, Takashi Shimazu, Kazuya Sakuma, Masashi Fukayama, Ja‐Mun Chong, Hiroshi Uozaki, Hideo Nagai, Keisuke Tsuzuki and Akiko Miwa. Their work appears in journals such as Anticancer Research, International Journal of Cancer, World Journal of Surgical Oncology, Anesthesia & Analgesia and Annals of Surgical Oncology.

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.

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