S Fujimoto

533 citations
41 papers · 455 indexed · h-index 13
Topics
Immunotherapy and Immune Responses (8 papers)Biochemical effects in animals (6 papers)Amino Acid Enzymes and Metabolism (5 papers)
Partner nations
JapanCanada

In The Last Decade

S Fujimoto

38 papers receiving 429 citations

Peers

S Fujimoto
Comparison fields: 5 of 68
  • Molecular Biology 166
  • Immunology 151
  • Oncology 93
  • Physiology 87
  • Biochemistry 64
Replace Parker Cw with:
Parker Cw Australia
Taeko Yamauchi Japan
Anuradha Dutt United States
Richard B. Whitney Canada
Jon Henry LaBadie United States
Cathy A. Farrell United States
Takeaki Nitto Japan
Serge Chesne France
M R Salaman United Kingdom
Melvin L. Goldberg United States
S Fujimoto relative to Parker Cw Australia Parker Cw's profile →
Citations per field
00.5×
Parker Cw · 1×
Citations per year

Countries citing papers authored by S Fujimoto

Since Specialization
Citations

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

Fields of papers citing papers by S Fujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Fujimoto

This figure shows the co-authorship network connecting the top 25 collaborators of S Fujimoto. A scholar is included among the top collaborators of S Fujimoto 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 S Fujimoto. S Fujimoto 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 27
3 4
4
[Development of specific immunotherapy for cancer].
1
5 22
6 6
7 4
8 8
9 2
10 5
11 13
12
Studies on the pathogenesis of murine experimental autoimmune active hepatitis: sensitized T cell involvement in its induction.
9
13 38
14 20
15 7
16 6
17
[Clinical effects of human lymphoblastoid interferon in patients with hematologic neoplasms].
1
18 3
19
Chromosomal anomalies of preimplantation rabbit blastocysts and human artificial abortuses in relation to maternal age.
6
20 76

About S Fujimoto

S Fujimoto is a scholar working on Biochemistry, Immunology and Clinical Biochemistry, having authored 41 papers that have together received 455 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Biochemical effects in animals (6 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Biochemistry (64 citations), Immunology (151 citations) and Behavioral Neuroscience (14 citations). S Fujimoto has collaborated with scholars based in Japan and Canada. Frequent co-authors include Nanaya TAMAKI, A.H. Sehon, M I Greene, Yu Shen, Takao HAMA, Hiroshi Yamamoto, Yasuhide Kontani, T. Taniguchi, Zhe Qu and Tatsuhiko N. Ikeda. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology 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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