Yasutaka Kakinoki

836 citations
43 papers · 444 indexed · h-index 12
Topics
Acute Myeloid Leukemia Research (9 papers)Lymphoma Diagnosis and Treatment (9 papers)Immune Cell Function and Interaction (6 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Yasutaka Kakinoki

38 papers receiving 427 citations

Peers

Yasutaka Kakinoki
Comparison fields: 5 of 70
  • Hematology 154
  • Immunology 107
  • Molecular Biology 98
  • Infectious Diseases 92
  • Oncology 88
Replace G.C. Mudde with:
G.C. Mudde Netherlands
Christa Homburg Netherlands
E. Patten United States
Oytip Nathalang Thailand
Wolfgang Helmberg Austria
Eduard K. Petershofen Germany
Pavel Trakhtman Russia
W.K. Roth Germany
Claudia MacAuley United States
Nicole H. Smith United States
Yasutaka Kakinoki relative to G.C. Mudde Netherlands G.C. Mudde's profile →
Citations per field
00.5×7.8×
G.C. Mudde · 1×
Citations per year

Countries citing papers authored by Yasutaka Kakinoki

Since Specialization
Citations

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

Fields of papers citing papers by Yasutaka Kakinoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasutaka Kakinoki

This figure shows the co-authorship network connecting the top 25 collaborators of Yasutaka Kakinoki. A scholar is included among the top collaborators of Yasutaka Kakinoki 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 Yasutaka Kakinoki. Yasutaka Kakinoki 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 1
2 0
3 10
4 9
5 21
6 8
7 5
8 16
9 20
10 0
11 24
12 82
13 6
14 1
15 15
16 6
17 15
18
Neoplastic alterations in subcellular distribution of type 1a protein phosphatase in rat ascites hepatoma cells
2
19 11
20 16

About Yasutaka Kakinoki

Yasutaka Kakinoki is a scholar working on Hematology, Genetics and Aging, having authored 43 papers that have together received 444 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (9 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Hematology (154 citations), Biochemistry (71 citations) and Management of Technology and Innovation (41 citations). Yasutaka Kakinoki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include David L. Brautigan, Shuichi Ota, Kunimi Kikuchi, Masaharu Kasai, Takashi Fukuhara, Mitsutoshi Kurosawa, Junji Tanaka, Satoshi Hashino, Satoshi Suzuki and Takeshi Kondo. Their work appears in journals such as Journal of Biological Chemistry, Blood and Scientific Reports.

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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