Kazuko Tsuneoka

444 citations
27 papers · 389 indexed · h-index 11
Topics
Immune Response and Inflammation (13 papers)Effects of Radiation Exposure (6 papers)Glycosylation and Glycoproteins Research (4 papers)
Partner nations
Japan

In The Last Decade

Kazuko Tsuneoka

26 papers receiving 344 citations

Peers

Kazuko Tsuneoka
Comparison fields: 5 of 72
  • Immunology 176
  • Molecular Biology 132
  • Radiology, Nuclear Medicine and Imaging 96
  • Oncology 93
  • Hematology 59
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Citations per field
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Citations per year

Countries citing papers authored by Kazuko Tsuneoka

Since Specialization
Citations

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

Fields of papers citing papers by Kazuko Tsuneoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuko Tsuneoka

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuko Tsuneoka. A scholar is included among the top collaborators of Kazuko Tsuneoka 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 Kazuko Tsuneoka. Kazuko Tsuneoka 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 11
2 21
3 8
4 82
5 30
6 6
7 17
8
Effects of recombinant granulocyte colony-stimulating factor (rG-CSF) and recombinant granulocyte-macrophage colony-stimulating factor (rGM-CSF) on acute radiation hematopoietic injury in mice.
53
9 0
10 38
11 8
12 4
13
Macrophage colony-stimulating factor and granulocyte colony-stimulating factor separated from fibrosarcoma tissue in mice.
8
14
Stimulation of human and murine bone marrow cell colony formation by colony-stimulating factors obtained from the urine of mice bearing leukocytosis-inducing fibrosarcoma.
2
15 1
16 15
17 5
18 6
19 14
20 3

About Kazuko Tsuneoka

Kazuko Tsuneoka is a scholar working on Immunology, Microbiology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 389 indexed citations. Recurring topics across this work include Immune Response and Inflammation (13 papers), Effects of Radiation Exposure (6 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Immunology (176 citations), Hematology (59 citations) and Radiology, Nuclear Medicine and Imaging (96 citations). Kazuko Tsuneoka has collaborated with scholars based in Japan. Frequent co-authors include Mikio Shikita, Hiroshi Ishihara, S Tanikawa, Nobuo Nara, Izumi Tanaka, Kazuya Hashinaka, Fumio Sakiyama, Chika Nishio, Michiyuki Yamada and Susumu Tsunasawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Archives of Biochemistry and Biophysics.

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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