Tadashi Kikuchi
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Cell Biology top 10%
- Physiology
- Rheumatology top 10%
- Co-authors
- Daniel J. TschumperlinJeffrey M. DrazenKeiji HasumiYutaka ShimomuraKoichi MasudaMasayuki ShinmeiIvan V. MalyKathleen J. Haley
- Topics
- Protease and Inhibitor Mechanisms (3 papers)Glycosylation and Glycoproteins Research (2 papers)Respiratory Support and Mechanisms (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Tadashi Kikuchi
15 papers receiving 720 citations
Peers
Comparison fields: 5 of 100
- Pulmonary and Respiratory Medicine 213
- Molecular Biology 177
- Cell Biology 175
- Physiology 154
- Rheumatology 112
Countries citing papers authored by Tadashi Kikuchi
This map shows the geographic impact of Tadashi Kikuchi'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 Tadashi Kikuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Kikuchi more than expected).
Fields of papers citing papers by Tadashi Kikuchi
This network shows the impact of papers produced by Tadashi Kikuchi. 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 Tadashi Kikuchi. The network helps show where Tadashi Kikuchi may publish in the future.
Co-authorship network of co-authors of Tadashi Kikuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Kikuchi. A scholar is included among the top collaborators of Tadashi Kikuchi 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 Tadashi Kikuchi. Tadashi Kikuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 268 | |
| 7 | 117 | |
| 8 | 12 | |
| 9 | 59 | |
| 10 | 102 | |
| 11 | 7 | |
| 12 | Effects of hyaluronan on cell proliferation and proteoglycan synthesis in rabbit ligamental cells. | 7 |
| 13 | Production of cytokines by chondrocytes and its role in proteoglycan degradation. | 60 |
| 14 | The role of cytokines in chondrocyte mediated cartilage degradation. | 57 |
| 15 | [Relation between fat malabsorption and fecal bile acid excretion in patients with hepatobiliary diseases]. | 1 |
About Tadashi Kikuchi
Tadashi Kikuchi is a scholar working on Cancer Research, Critical Care and Intensive Care Medicine and Cell Biology, having authored 15 papers that have together received 740 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Respiratory Support and Mechanisms (2 papers). The work is most often cited by research in Cell Biology (175 citations), Immunology and Allergy (62 citations) and Rheumatology (112 citations). Tadashi Kikuchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Daniel J. Tschumperlin, Jeffrey M. Drazen, Keiji Hasumi, Yutaka Shimomura, Koichi Masuda, Masayuki Shinmei, Ivan V. Maly, Kathleen J. Haley, Peter T. C. So and Lily H. Laiho. Their work appears in journals such as Nature, Kidney International and American Journal of Respiratory Cell and Molecular Biology.
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.