Taketo Yamada

9.3k citations
177 papers · 7.5k indexed · 1 hit paper · h-index 43
Topics
Peptidase Inhibition and Analysis (24 papers)Pancreatic function and diabetes (20 papers)Multiple Myeloma Research and Treatments (14 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Taketo Yamada

172 papers receiving 7.3k citations

Hit Papers

Innate production of TH2 cytokines by adipose tissue-asso...2009202620142020200950010001.5k

Peers

Taketo Yamada
Comparison fields: 5 of 132
  • Immunology 2.7k
  • Molecular Biology 2.1k
  • Surgery 1.7k
  • Oncology 1.2k
  • Pathology and Forensic Medicine 779
Replace Yusuke Nakamura with:
Yusuke Nakamura Japan
Matthias Clauss United States
Gérard Lambeau France
Amato de Paulis Italy
Paul J. Higgins United States
Wan‐Uk Kim South Korea
Daniella M. Schwartz United States
Shída Yousefi Switzerland
T Hirano Japan
A. Richard Kitching Australia
Taketo Yamada relative to Yusuke Nakamura Japan Yusuke Nakamura's profile →
Citations per field
00.5×1.5×1.9×
Yusuke Nakamura · 1×
Citations per year

Countries citing papers authored by Taketo Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Taketo Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taketo Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Taketo Yamada. A scholar is included among the top collaborators of Taketo Yamada 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 Taketo Yamada. Taketo Yamada 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 0
2 0
3 5
4 3
5 26
6 49
7 40
8 21
9 10
10
Innate production of TH2 cytokines by adipose tissue-associated c-Kit+Sca-1+ lymphoid cellsbreakdown →
1558
11 120
12 10
13 5
14 63
15 22
16 256
17 7
18 170
19 23
20 21

About Taketo Yamada

Taketo Yamada is a scholar working on Hematology, Oncology and Immunology, having authored 177 papers that have together received 7.5k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (24 papers), Pancreatic function and diabetes (20 papers) and Multiple Myeloma Research and Treatments (14 papers). The work is most often cited by research in Immunology (2.7k citations), Immunology and Allergy (375 citations) and Dermatology (498 citations). Taketo Yamada has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shigeo Koyasu, Masashi Ohtani, Tsutomu Takeuchi, M. Tanabe, Kazuyo Moro, Hideki Fujii, Hiroshi Kawamoto, Tomokatsu Ikawa, Masayuki Amagai and Masahiro Kizaki. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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