Kazuo Inada

979 citations
22 papers · 791 indexed · h-index 9
Topics
Protease and Inhibitor Mechanisms (5 papers)Cancer Diagnosis and Treatment (3 papers)Angiogenesis and VEGF in Cancer (3 papers)
Partner nations
Japan

In The Last Decade

Kazuo Inada

19 papers receiving 768 citations

Peers

Kazuo Inada
Comparison fields: 5 of 72
  • Molecular Biology 527
  • Cancer Research 358
  • Oncology 254
  • Pulmonary and Respiratory Medicine 117
  • Surgery 100
Replace Hirokazu Amaya with:
Hirokazu Amaya Japan
William O’Connor United States
M Comley United Kingdom
Kenji Inui Japan
Keizo Sugimachi Japan
Peter Gaßmann Germany
Yoshimasa Kosaka Japan
Dongsheng Yue China
Mariusz Adam Goscinski Norway
Simona Berardi Italy
Kazuo Inada relative to Hirokazu Amaya Japan Hirokazu Amaya's profile →
Citations per field
00.5×1.5×2.3×
Hirokazu Amaya · 1×
Citations per year

Countries citing papers authored by Kazuo Inada

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Inada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuo Inada

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 13
5
[A case of delayed subcutaneous metastases of gastric carcinoma effectively treated with S-1 plus cisplatin chemotherapy].
1
6 39
7
[A case of mucinous adenocarcinoma of descending colon with abscess formation and solitary metastasis at right side of the abdomen].
0
8 5
9 0
10 1
11 3
12 21
13 21
14 3
15 167
16 303
17 79
18 8
19 4
20 6

About Kazuo Inada

Kazuo Inada is a scholar working on Cancer Research, Immunology and Allergy and Oncology, having authored 22 papers that have together received 791 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Cancer Diagnosis and Treatment (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cancer Research (358 citations), Oncology (254 citations) and Molecular Biology (527 citations). Kazuo Inada has collaborated with scholars based in Japan. Frequent co-authors include Takeshi Tominaga, Hideo Suzuki, Masakazu Toi, Shinichi Kondo, Tadaaki Taniguchi, Yutaka Yamamoto, Michio Ogawa, Shinichi Yamashita, Kazuya Murata and Koichi Nomura. Their work appears in journals such as Cancer, Cancer Letters and The Annals of Thoracic Surgery.

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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