Kazuki Sudo

3.1k citations
120 papers · 1.9k · h-index 23

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • MicroRNA in disease regulation

Papers in

    • Cancer Immunotherapy and Biomarkers 9
    • HER2/EGFR in Cancer Research 6
    • Esophageal Cancer Research and Treatment 20

Kazuki Sudo

113 papers receiving 1.9k citations

Peers

Kazuki Sudo
Comparison fields: 5 of 97
  • Oncology 530
  • Cancer Research 281
  • Surgery 574
  • Pulmonary and Respiratory Medicine 398
  • Cell Biology 157
Replace Ray‐Hwang Yuan with:
Ray‐Hwang Yuan Taiwan
Johanna Louhimo Finland
Tomoyuki Nagai Japan
Rajesh Ramanathan United States
Mee-Yon Cho South Korea
Hiroaki Nagano Japan
Chia‐Siu Wang Taiwan
Vlad Herlea Romania
Youn Wha Kim South Korea
Kazuo Yashima Japan
Kazuki Sudo relative to Ray‐Hwang Yuan Taiwan Ray‐Hwang Yuan's profile →
Citations per field
00.5×4.2×
Ray‐Hwang Yuan · 1×
Citations per year

Countries citing papers authored by Kazuki Sudo

Since Specialization
Citations

This map shows the geographic impact of Kazuki 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 Kazuki Sudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Sudo more than expected).

Fields of papers citing papers by Kazuki Sudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kazuki 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 Kazuki Sudo. The network helps show where Kazuki Sudo may publish in the future.

Co-authors

The 25 scholars most cited alongside Kazuki 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 Kazuki Sudo Line = papers co-authored together Kazuki Sudo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014216
2 2013144
3 201393
4 201784
5 201383
6 201281
7 201465
8 201761
9 201659
10 201953
11 201352
12 201448
13 201342
14 201836
15
Gastric- and intestinal-type properties of human gastric cancers transplanted into nude mice.
198435
16 202134
17 201531
18 201330
19 201329
20 201927

About Kazuki Sudo

Kazuki Sudo is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research, having authored 120 papers that have together received 1.9k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (20 papers), Gastric Cancer Management and Outcomes (13 papers), Cancer Genomics and Diagnostics (11 papers), Cancer Immunotherapy and Biomarkers (9 papers), Gut microbiota and health (6 papers), HER2/EGFR in Cancer Research (6 papers), Sarcoma Diagnosis and Treatment (6 papers) and Metastasis and carcinoma case studies (6 papers). The work is most often cited by research in Oncology (530 citations), Cancer Research (281 citations), Surgery (574 citations), Pulmonary and Respiratory Medicine (398 citations) and Cell Biology (157 citations). Kazuki Sudo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Jaffer A. Ajani, Roopma Wadhwa, Wayne L. Hofstetter, Hisashi Onodera, Takashi Taketa, Seiji Ohigashi, Dipen M. Maru, Takuya Takahashi, Daiki Kobayashi and Koji Nomoto. Their work appears in journals such as Journal of Clinical Oncology, Oncology, Annals of Oncology, BMC Cancer and Cancer 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.

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