T Fukuda

479 citations
16 papers · 352 indexed · h-index 11

T Fukuda

16 papers receiving 345 citations

Peers

T Fukuda
Comparison fields: 5 of 68
  • Molecular Biology 122
  • Endocrinology, Diabetes and Metabolism 98
  • Immunology 93
  • Genetics 70
  • Cancer Research 54
Replace Choong-Chin Liew with:
Choong-Chin Liew Canada
M. Mathieu France
Barbara Brandt-Nedelev Germany
Lars Hornum Denmark
C. Soubrane France
B Nowakowski Canada
Luying Pan United States
Gennady Gololobov United States
Clare Hassett United States
Frank Dastvan United States
T Fukuda relative to Choong-Chin Liew Canada Choong-Chin Liew's profile →
Citations per field
00.5×1.5×2.2×
Choong-Chin Liew · 1×
Citations per year

Countries citing papers authored by T Fukuda

Since Specialization
Citations

This map shows the geographic impact of T Fukuda'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 T Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Fukuda more than expected).

Fields of papers citing papers by T Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Fukuda

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 12
3 42
4 15
5 9
6
[A case of lupus cystitis successfully treated with corticosteroid accompanied by gastrointestinal symptoms].
3
7 38
8 12
9
Detection of Leu-19 (CD56) antigen on human thyroid epithelial cells by an immunohistochemical method.
19
10 54
11 20
12 77
13
Synergy in antigen presentation by thyroid epithelial cells and monocytes from patients with Graves' disease.
22
14
The remarkable proliferation of helper T cell subset in response to autologous thyrocytes and intrathyroidal T cells from patients with Graves' disease.
18
15
Hereditary deficiency of OKT4-positive cells: studies for mode of inheritance and lymphocyte functions.
7
16 3

About T Fukuda

T Fukuda is a scholar working on Immunology, Cancer Research and Hematology, having authored 16 papers that have together received 352 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (98 citations), Immunology (93 citations) and Immunology and Allergy (24 citations). T Fukuda has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Sheue-yann Cheng, Kwang‐Huei Lin, Hirotomo Kato, P McPhie, Clifford Parkison, Yoshiki Kawabe, Atsushi Kawakami, Naofumi Ishikawa, Katsumi Eguchi and Shigenobu Nagataki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annals of the Rheumatic Diseases.

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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