Terutaka Kakiuchi
- Immunology top 0.5%
- T-cell and B-cell Immunology 48
- Immune Cell Function and Interaction 35
- Immunotherapy and Immune Responses 30
- Immune Response and Inflammation 10
- Complement system in diseases 4
- Immunology and Allergy top 2%
- Oncology top 2%
- Chemokine receptors and signaling 6
- Pharmacology top 5%
-
- Monoclonal and Polyclonal Antibodies Research 21
-
- Glycosylation and Glycoproteins Research 5
- Co-authors
- Hideki NakanoMichael D. GunnAkio MatsuzawaFumio IshikawaLewis T. WilliamsShigeru KyuwaCarmen Tam‐AmersdorferTaku Kuwabara
- Journals
- Science (1 paper)Journal of Clinical Investigation (1 paper)The Journal of Experimental Medicine (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Terutaka Kakiuchi
87 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 3.3k
- Immunology and Allergy 359
- Oncology 1.3k
- Pathology and Forensic Medicine 495
- Pharmacology 326
Countries citing papers authored by Terutaka Kakiuchi
This map shows the geographic impact of Terutaka Kakiuchi'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 Terutaka Kakiuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terutaka Kakiuchi more than expected).
Fields of papers citing papers by Terutaka Kakiuchi
This network shows the impact of papers produced by Terutaka Kakiuchi. 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 Terutaka Kakiuchi. The network helps show where Terutaka Kakiuchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Terutaka Kakiuchi, 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 | 2010 | 10 | |
| 2 | 2010 | 5 | |
| 3 | 2006 | 115 | |
| 4 | 2006 | 58 | |
| 5 | 2006 | 42 | |
| 6 | 2005 | 2 | |
| 7 | 2005 | 16 | |
| 8 | 2004 | 51 | |
| 9 | 2004 | 20 | |
| 10 | 2002 | 59 | |
| 11 | 2000 | 11 | |
| 12 | 1999 | 2 | |
| 13 | 1999 | 9 | |
| 14 | 1999 | 1 | |
| 15 | 1999 | 184 | |
| 16 | 1998 | 15 | |
| 17 | 1997 | 112 | |
| 18 | 1996 | 412 | |
| 19 | 1988 | 14 | |
| 20 | 1986 | 46 |
About Terutaka Kakiuchi
Terutaka Kakiuchi is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 87 papers that have together received 4.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (48 papers), Immune Cell Function and Interaction (35 papers), Immunotherapy and Immune Responses (30 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Immune Response and Inflammation (10 papers), Chemokine receptors and signaling (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Complement system in diseases (4 papers). The work is most often cited by research in Immunology (3.3k citations), Immunology and Allergy (359 citations) and Oncology (1.3k citations). Terutaka Kakiuchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hideki Nakano, Michael D. Gunn, Akio Matsuzawa, Fumio Ishikawa, Lewis T. Williams, Shigeru Kyuwa, Carmen Tam‐Amersdorfer, Taku Kuwabara, Motonari Kondo and Hideo Nariuchi. Their work appears in journals such as Science, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.