K Nomoto

897 total citations
44 papers, 771 citations indexed

About

K Nomoto is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, K Nomoto has authored 44 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 6 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in K Nomoto's work include Immune Cell Function and Interaction (11 papers), Immune Response and Inflammation (7 papers) and Cancer Research and Treatments (5 papers). K Nomoto is often cited by papers focused on Immune Cell Function and Interaction (11 papers), Immune Response and Inflammation (7 papers) and Cancer Research and Treatments (5 papers). K Nomoto collaborates with scholars based in Japan and Egypt. K Nomoto's co-authors include S Tsuru, Y Zinnaka, Yasunobu Yoshikai, Yasuyuki Takeda, Shouichi Ohga, Kenji Hiromatsu, Takuya Kawakita, Hajime Fujisawa, Masashi Taniguchi and Akira Yamada and has published in prestigious journals such as The Journal of Immunology, JNCI Journal of the National Cancer Institute and Biochemical and Biophysical Research Communications.

In The Last Decade

K Nomoto

43 papers receiving 736 citations

Peers

K Nomoto
Comparison fields: 5 of 88
  • Immunology 422
  • Molecular Biology 163
  • Epidemiology 151
  • Pharmacology 84
  • Oncology 66
Replace Jinro Komura with:
Jinro Komura Japan
W. Roszkowski Poland
Wenru Tian China
Annabel Avery Harper United States
Nana Yan China
Hongyan Xie China
Agnieszka Płóciennikowska Poland
Linley M. Fray New Zealand
Nadja Dunger Germany
Jinro Komura Japan View profile →
Citations per field, relative to K Nomoto
K Nomoto · 1×
Citations per year, relative to K Nomoto
K Nomoto · 1×

Countries citing papers authored by K Nomoto

Since Specialization
Citations

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

Fields of papers citing papers by K Nomoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Nomoto

This figure shows the co-authorship network connecting the top 25 collaborators of K Nomoto. A scholar is included among the top collaborators of K Nomoto 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 K Nomoto. K Nomoto 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
# Work Indexed citations
1 23
2 25
3 7
4 44
5 19
6 10
7 11
8 24
9 2
10 0
11
Effect of an anti-CD3 antibody on the culture of lymphokine activated killer cells from human lymph node lymphocytes
1
12 4
13 140
14 29
15 15
16 22
17 18
18
Differing contribution of various effector cells in the elimination of syngeneic or allogeneic cells.
4
19
[Antitumor activity of chlorella extract, PCM-4, by oral administration].
8
20
Influence of hypertension on the progression of experimental autologous immune complex nephritis.
28

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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