Takehiko Sakurami

496 citations
35 papers · 334 indexed · h-index 11

Takehiko Sakurami

34 papers receiving 310 citations

Peers

Takehiko Sakurami
Comparison fields: 5 of 54
  • Immunology 154
  • Endocrinology, Diabetes and Metabolism 87
  • Agronomy and Crop Science 51
  • Genetics 115
  • Hematology 40
Replace Tetsunori Mukaida with:
Tetsunori Mukaida Japan
M. Brasher United Kingdom
Meeny de Haan-Meulman Netherlands
C Giusti Argentina
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Ghada Kchour Lebanon
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Takehiko Sakurami relative to Tetsunori Mukaida Japan Tetsunori Mukaida's profile →
Citations per field
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Citations per year

Countries citing papers authored by Takehiko Sakurami

Since Specialization
Citations

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

Fields of papers citing papers by Takehiko Sakurami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takehiko Sakurami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takehiko Sakurami Line = papers co-authored together Takehiko Sakurami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198948
2 19893
3 19881
4 19871
5 19871
6 198515
7
RHEUMATOID FACTOR IN CHILDHOOD DIABETICS
19830
8 19832
9 198217
10 198211
11 19802
12 19791
13 197928
14 19797
15 197917
16 19798
17
Studies on Iron Transport in Human Intestine by Immunoperoxidase Technique.-1-The Localization of Ferritin,Lactoferrin and Transferrin in Human Duodenal Mucosa (Proceedings of the 40 General Meeting of the Japan Hematological Society-2-) -- (Recent Advances in Iron Metabolism(Symposium))
19782
18 19771
19 19754
20 19717

About Takehiko Sakurami

Takehiko Sakurami is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Genetics, having authored 35 papers that have together received 334 indexed citations. Recurring topics across this work include Diabetes and associated disorders (14 papers), Diabetes Management and Research (6 papers), Pancreatic function and diabetes (5 papers), T-cell and Retrovirus Studies (4 papers), Animal Disease Management and Epidemiology (4 papers), T-cell and B-cell Immunology (4 papers), Vector-Borne Animal Diseases (4 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Immunology (154 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Agronomy and Crop Science (51 citations). Takehiko Sakurami has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yukio Ueno, Akira Matsumori, Paul I. Terasaki, Min Park, Chuichi Kawai, Yuichi Iwaki, Yoshinari Isobe, Kazuaki Ishibashi, Akira Wakabayashi and Toyoji Ueo. Their work appears in journals such as Diabetologia, American Heart Journal, Cancer, Diabetes and Journal of Investigative Dermatology.

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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