Ken Yanagisawa
- Immunology top 1%
- Surgery top 2%
- Molecular Biology top 10%
- Physiology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Shin‐ichi TominagaKenji TagoHiroyuki IwahanaKatsuhisa OshikawaKenji KuroiwaEiji YanagisawaYukihiko SugiyamaTsunao Tetsuka
- Topics
- IL-33, ST2, and ILC Pathways (26 papers)Tuberculosis Research and Epidemiology (17 papers)Mycobacterium research and diagnosis (16 papers)
- Cited by
- ImmunologyOtorhinolaryngologySurgery
- Partner nations
- JapanUnited StatesArmenia
In The Last Decade
Ken Yanagisawa
140 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 137
- Immunology 1.8k
- Surgery 1.2k
- Molecular Biology 829
- Physiology 566
- Pulmonary and Respiratory Medicine 281
Countries citing papers authored by Ken Yanagisawa
This map shows the geographic impact of Ken Yanagisawa'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 Ken Yanagisawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Yanagisawa more than expected).
Fields of papers citing papers by Ken Yanagisawa
This network shows the impact of papers produced by Ken Yanagisawa. 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 Ken Yanagisawa. The network helps show where Ken Yanagisawa may publish in the future.
Co-authorship network of co-authors of Ken Yanagisawa
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Yanagisawa. A scholar is included among the top collaborators of Ken Yanagisawa 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 Ken Yanagisawa. Ken Yanagisawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 13 | |
| 4 | 8 | |
| 5 | Neurophysiological study of remote rebound-effect of resistive static contraction of lower trunk on the flexor carpi radi alis H-reflex. | 3 |
| 6 | 46 | |
| 7 | 52 | |
| 8 | 261 | |
| 9 | 197 | |
| 10 | 24 | |
| 11 | 114 | |
| 12 | 21 | |
| 13 | 22 | |
| 14 | 27 | |
| 15 | Copying CT scans with a reasonably priced video printer. | 1 |
| 16 | 0 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | Studies on the Differentiation of Living and Dead Tubercle Bacilli with the Fluoromicroscope. Report II. Rhodamine-B, Auramine-O Double Staining Method (Yasaki-Tsugane). | 1 |
About Ken Yanagisawa
Ken Yanagisawa is a scholar working on Otorhinolaryngology, Immunology and Infectious Diseases, having authored 156 papers that have together received 3.7k indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (26 papers), Tuberculosis Research and Epidemiology (17 papers) and Mycobacterium research and diagnosis (16 papers). The work is most often cited by research in Immunology (1.8k citations), Otorhinolaryngology (180 citations) and Surgery (1.2k citations). Ken Yanagisawa has collaborated with scholars based in Japan, United States and Armenia. Frequent co-authors include Shin‐ichi Tominaga, Kenji Tago, Hiroyuki Iwahana, Katsuhisa Oshikawa, Kenji Kuroiwa, Eiji Yanagisawa, Shin‐ichi Tominaga, Yukihiko Sugiyama, Tsunao Tetsuka and Toshimitsu Takagi. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of Immunology.
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.