Yuji Takeda

2.1k citations
91 papers · 1.7k indexed · h-index 20
Topics
Immune Cell Function and Interaction (15 papers)Cell Adhesion Molecules Research (13 papers)Complement system in diseases (12 papers)
Partner nations
JapanUnited StatesSweden

In The Last Decade

Yuji Takeda

87 papers receiving 1.6k citations

Peers

Yuji Takeda
Comparison fields: 5 of 109
  • Immunology 689
  • Molecular Biology 561
  • Genetics 314
  • Epidemiology 247
  • Pulmonary and Respiratory Medicine 223
Replace Joanne C. Masterson with:
Joanne C. Masterson United States
Marguerite S. Buzza United States
Outi Elomaa Finland
Sean P. Kessler United States
Joseph J. Goellner United States
Alexandra Zanin‐Zhorov United States
Klemens Trieb Austria
Tatjana Nikolić Netherlands
Jörg Lauber Germany
Óscar M. Pello Spain
Yuji Takeda relative to Joanne C. Masterson United States Joanne C. Masterson's profile →
Citations per field
00.5×1.7×
Joanne C. Masterson · 1×
Citations per year

Countries citing papers authored by Yuji Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Takeda. A scholar is included among the top collaborators of Yuji Takeda 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 Yuji Takeda. Yuji Takeda 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 5
3 8
4 2
5 10
6 3
7 10
8 15
9 12
10 4
11 54
12 7
13 4
14 10
15 19
16 58
17 10
18
FUNCTIONAL ANALYSIS OF THE RECEPTOR-LIKE KINASE GENE, IMK3 EXPRESSED IN Arabidopsis SHOOT AND ROOT MERISTEMS
1
19 9
20 136

About Yuji Takeda

Yuji Takeda is a scholar working on Immunology, Immunology and Allergy and Hematology, having authored 91 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Cell Adhesion Molecules Research (13 papers) and Complement system in diseases (12 papers). The work is most often cited by research in Immunology (689 citations), Immunology and Allergy (99 citations) and Hematology (136 citations). Yuji Takeda has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Fujiro Sendo, Takao Yamashita, Hiroshi Watanabe, Hironobu Asao, Ichiro Wakabayashi, Noriyuki Shiobara, Hiroshi Takei, Katsuya Hiraishi, Masakazu Adachi and Abby R. Saniabadi. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

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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