Junji Takeda
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
- Immunology 50
- Complement system in diseases 34
- Aging 3
- Co-authors
- Taroh KinoshitaNorimitsu InoueKyoji HorieToshio MiyataKosuke YusaGen KondohMinoru TakahashiShigetoshi Sano
- Journals
- Journal of Investigative Dermatology (14 papers)Journal of Biological Chemistry (10 papers)The Journal of Immunology (9 papers)Blood (9 papers)Proceedings of the National Academy of Sciences (7 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Junji Takeda
170 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Immunology 3.8k
- Nephrology 909
- Cell Biology 1.6k
- Physiology 446
- Hematology 1.0k
Countries citing papers authored by Junji Takeda
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 7 | |
| 4 | 2017 | 25 | |
| 5 | 2012 | 1 | |
| 6 | 2011 | 181 | |
| 7 | 2010 | 177 | |
| 8 | 2008 | 51 | |
| 9 | 2006 | 43 | |
| 10 | 2005 | 166 | |
| 11 | 2005 | 3 | |
| 12 | 2003 | 46 | |
| 13 | 2003 | 4 | |
| 14 | 2002 | 3 | |
| 15 | Functional involvement of Stat3 in skin remodeling including hair cycle and wound healing | 1999 | 2 |
| 16 | 1999 | 449 | |
| 17 | 1996 | 13 | |
| 18 | Murine monoclonal anti-Ba antibody that enhances haemolytic activity of factor B. | 1991 | 2 |
| 19 | 1988 | 135 | |
| 20 | 1987 | 68 |
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.