Junji Takeda

15.7k citations
171 papers · 11.7k indexed · 2 hit papers · h-index 61

Impact in

  • Immunology top 0.5%
    • Complement system in diseases
    • Immune Cell Function and Interaction
  • Nephrology top 0.5%
    • Renal Diseases and Glomerulopathies

Papers in

Junji Takeda

170 papers receiving 11.5k citations

Hit Papers

Stat3 Activation Is Responsible for IL-6-Dependent T Cell Proliferation Through Preventing Apoptosis: Generation and Characterization of T Cell-Specific Stat3-Deficient Mice 1998 · 525 citations
5251993202620042015250500750

Peers

Junji Takeda
Comparison fields: 5 of 146
  • Immunology 3.8k
  • Nephrology 909
  • Cell Biology 1.6k
  • Physiology 446
  • Hematology 1.0k
Replace Thomas L. Saunders with:
Thomas L. Saunders United States
Kenji Kohno Japan
Pierre J. Courtoy Belgium
Daniela Malide United States
Chi‐Chao Chan United States
Jack Lawler United States
Cord Brakebusch Denmark
Lydia Sorokin Germany
E. Richard Stanley United States
Debra J. Gilbert United States
Junji Takeda relative to Thomas L. Saunders United States Thomas L. Saunders's profile →
Citations per field
00.5×1.6×
Thomas L. Saunders · 1×
Citations per year

Countries citing papers authored by Junji Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Junji Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Junji Takeda, 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 Junji Takeda Line = papers co-authored together Junji Takeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20217
4 201725
5 20121
6 2011181
7 2010177
8 200851
9 200643
10 2005166
11 20053
12 200346
13 20034
14 20023
15
Functional involvement of Stat3 in skin remodeling including hair cycle and wound healing
19992
16 1999449
17 199613
18
Murine monoclonal anti-Ba antibody that enhances haemolytic activity of factor B.
19912
19 1988135
20 198768

About Junji Takeda

Junji Takeda is a scholar working on Immunology, Aging, Cell Biology, Molecular Biology and Hematology, having authored 171 papers that have together received 11.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (34 papers), Complement system in diseases (34 papers), Trypanosoma species research and implications (28 papers), Pluripotent Stem Cells Research (16 papers), Chromosomal and Genetic Variations (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Animal Genetics and Reproduction (10 papers) and Lysosomal Storage Disorders Research (8 papers). The work is most often cited by research in Immunology (3.8k citations), Nephrology (909 citations), Cell Biology (1.6k citations), Physiology (446 citations) and Hematology (1.0k citations). Junji Takeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Taroh Kinoshita, Norimitsu Inoue, Kyoji Horie, Toshio Miyata, Kosuke Yusa, Gen Kondoh, Minoru Takahashi, Shigetoshi Sano, Masaru Okabe and Teruo Kitani. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Biological Chemistry, The Journal of Immunology, Blood and Proceedings of the National Academy of Sciences.

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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