Fumitake Kai

542 citations
19 papers · 438 · h-index 10

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer-related Molecular Pathways 7
    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 2
    • Ubiquitin and proteasome pathways 2
    • Glycosylation and Glycoproteins Research 1

Fumitake Kai

18 papers receiving 430 citations

Peers

Fumitake Kai
Comparison fields: 5 of 57
  • Oncology 205
  • Cancer Research 77
  • Pulmonary and Respiratory Medicine 109
  • Immunology and Allergy 17
  • Molecular Biology 193
Replace Gabriela Raso with:
Gabriela Raso United States
Rajeswara Rao Arasada United States
Coralie Moncharmont France
Frank Tsai United States
Akashi Ikubo Japan
Sandy Larson United States
Anthony G. Clementz United States
Mariam Gachechiladze Czechia
Jonathan H. Law United States
Tatsuya Shimomura Japan
Fumitake Kai relative to Gabriela Raso United States Gabriela Raso's profile →
Citations per field
00.5×3.5×
Gabriela Raso · 1×
Citations per year

Countries citing papers authored by Fumitake Kai

Since Specialization
Citations

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

Fields of papers citing papers by Fumitake Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2010124
2 201569
3 200957
4 201234
5 200933
6 201033
7 201230
8 200620
9 201112
10 20179
11 20093
12 20133
13 20133
14 20202
15 20092
16 20132
17 20111
18 20101
19 20110

About Fumitake Kai

Fumitake Kai is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 19 papers that have together received 438 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Renal cell carcinoma treatment (5 papers), Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Ubiquitin and proteasome pathways (2 papers), Adrenal and Paraganglionic Tumors (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Oncology (205 citations), Cancer Research (77 citations), Pulmonary and Respiratory Medicine (109 citations), Immunology and Allergy (17 citations) and Molecular Biology (193 citations). Fumitake Kai has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazushi Inoue, Robert D. Kendig, Dejan Maglic, Pankaj Taneja, Takayuki Sugiyama, Donna P. Frazier, Sinan Zhu, Mark C. Willingham, Hiroshi Furuse and Elizabeth A. Fry. Their work appears in journals such as Japanese Journal of Clinical Oncology, Cancer Research, Oncogene, Expert Review of Molecular Diagnostics and Cancer Investigation.

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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