Yasuo Kodera

497 citations
14 papers · 405 indexed · h-index 8
Topics
Cancer, Hypoxia, and Metabolism (2 papers)Metastasis and carcinoma case studies (2 papers)PI3K/AKT/mTOR signaling in cancer (2 papers)
Partner nations
JapanUnited States

In The Last Decade

Yasuo Kodera

14 papers receiving 393 citations

Peers

Yasuo Kodera
Comparison fields: 5 of 56
  • Molecular Biology 167
  • Oncology 167
  • Pulmonary and Respiratory Medicine 120
  • Surgery 69
  • Cancer Research 64
Replace Qirong Geng with:
Qirong Geng China
Keita Uchino Japan
Joseph Eid United States
Masayuki Itakura Japan
Xianghong Yang China
Daniele Lavacchi Italy
Keishi Nakamura Japan
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Yasuo Kodera relative to Qirong Geng China Qirong Geng's profile →
Citations per field
00.5×1.5×
Qirong Geng · 1×
Citations per year

Countries citing papers authored by Yasuo Kodera

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Kodera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Kodera

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Kodera. A scholar is included among the top collaborators of Yasuo Kodera 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 Yasuo Kodera. Yasuo Kodera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 26
3 27
4 80
5 38
6 84
7 16
8 1
9
AML M0.の明確なサブタイプである骨髄/NK前駆細胞急性白血病
2
10
[Rapid quantitative detection of free cancer cells in the peritoneal cavity of gastric cancer patients with real-time RT-PCR, and its prognostic significance].
4
11 32
12
The prognostic value of preoperative serum levels of CEA and CA19-9 in patients with gastric cancer.
88
13
[Coordination of unrelated bone marrow donors in the Tokai Bone Marrow Bank--psychological reactions of donors to donation].
1
14
[The clinical effect of chemotherapy with 5-FU and low-dose CDDP in patients with advanced gastric cancer].
5

About Yasuo Kodera

Yasuo Kodera is a scholar working on Oncology, Gastroenterology and Nephrology, having authored 14 papers that have together received 405 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (2 papers), Metastasis and carcinoma case studies (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Gastroenterology (40 citations), Oncology (167 citations) and Cancer Research (64 citations). Yasuo Kodera has collaborated with scholars based in Japan and United States. Frequent co-authors include Fumiaki Koizumi, Yuka Kitamura, Yasufumi Katanasaka, Tomohide Tamura, Kazuto Nishio, Tatsuya Morimoto, Hitoshi Tsuda, T Kito, Tomoyuki Kato and Toshinori Hirai. Their work appears in journals such as Blood, International Journal of Cancer and Molecular Cancer.

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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