Nobukazu Kashima

1.9k citations
18 papers · 1.5k indexed · 1 hit paper · h-index 11
Topics
Immune Cell Function and Interaction (6 papers)Amino Acid Enzymes and Metabolism (5 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)

In The Last Decade

Nobukazu Kashima

17 papers receiving 1.4k citations

Hit Papers

Structure and expression of a cloned cDNA for human inter...19832026199720111983250500750

Peers

Nobukazu Kashima
Comparison fields: 5 of 87
  • Immunology 902
  • Molecular Biology 589
  • Oncology 295
  • Radiology, Nuclear Medicine and Imaging 227
  • Genetics 126
Replace N. Stebbing with:
N. Stebbing United States
Catherine R. Ferenz United States
D. B. Thomas Tanzania
P.H. Cameron Canada
Dorothy Hudig United States
Braydon C. Guild United States
Rusty Kutny United States
Kenia G. Krauer Australia
Livio Mallucci United Kingdom
Akira Kobata Japan
Nobukazu Kashima relative to N. Stebbing United States N. Stebbing's profile →
Citations per field
00.5×4.7×
N. Stebbing · 1×
Citations per year

Countries citing papers authored by Nobukazu Kashima

Since Specialization
Citations

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

Fields of papers citing papers by Nobukazu Kashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobukazu Kashima

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 16
2
Structure and expression of a cloned cDNA for human interleukin-2. 1983.
3
3 56
4 2
5 20
6 73
7 11
8 177
9 67
10
Structure and expression of a cloned cDNA for human interleukin-2breakdown →
961
11 1
12 2
13 6
14 3
15 10
16 72
17 16
18 44

About Nobukazu Kashima

Nobukazu Kashima is a scholar working on Biochemistry, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Amino Acid Enzymes and Metabolism (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (902 citations), Biochemistry (81 citations) and Oncology (295 citations). Nobukazu Kashima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tadatsugu Taniguchi, Takashi Fujita, Junji Hamuro, Hiroshi Matsui, Ryota Yoshimoto, Chikako Takaoka, Gen Yamada, Hidehiko Kumagai, Hideaki Yamada and Shinsuke Taki. Their work appears in journals such as Nature, Nucleic Acids Research and Biochemical and Biophysical Research Communications.

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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