Makoto Noda
- Molecular Biology top 0.5%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Cell Biology top 0.5%
- Genetics top 1%
- Co-authors
- Sharad KumarChiaki TakahashiHitoshi KitayamaYoji IkawaMakoto KinoshitaTomoko MatsuzakiGideon A. RodanYoshikazu Sugimoto
- Topics
- Protease and Inhibitor Mechanisms (38 papers)Cell Adhesion Molecules Research (26 papers)Peptidase Inhibition and Analysis (20 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Makoto Noda
277 papers receiving 15.4k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 9.0k
- Oncology 2.7k
- Cancer Research 2.7k
- Cell Biology 1.8k
- Genetics 1.5k
Countries citing papers authored by Makoto Noda
This map shows the geographic impact of Makoto Noda'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 Makoto Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Noda more than expected).
Fields of papers citing papers by Makoto Noda
This network shows the impact of papers produced by Makoto Noda. 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 Makoto Noda. The network helps show where Makoto Noda may publish in the future.
Co-authorship network of co-authors of Makoto Noda
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Noda. A scholar is included among the top collaborators of Makoto Noda 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 Makoto Noda. Makoto Noda 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 | 7 | |
| 3 | 26 | |
| 4 | 14 | |
| 5 | 50 | |
| 6 | 43 | |
| 7 | 110 | |
| 8 | 86 | |
| 9 | 0 | |
| 10 | The Membrane-Anchored MMP Inhibitor RECK Is a Key Regulator of Extracellular Matrix Integrity and Angiogenesisbreakdown → | 567 |
| 11 | Possible involvement of MSX-2 homeoprotein in v-ras-induced transformation. | 6 |
| 12 | Transactivation activity of Maf nuclear oncoprotein is modulated by Jun, Fos and small Maf proteins. | 48 |
| 13 | 10 | |
| 14 | SOMITE DIFFERENTIATION IS REGULATED BY BONE MORPHOGENETIC PROTEIN-2 (BMP 2) IN THE EARLY DEVELOPMENT OF THE AXIAL SKELETON | 1 |
| 15 | 310 | |
| 16 | 70 | |
| 17 | Discrete-track magnetic disk using embossed substrate | 23 |
| 18 | 2 | |
| 19 | Discrete-Track Magnetic Disk Using Embossed Substrate (Special Section of Letters Selected from the 1993 IEICE Spring Conference) | 1 |
| 20 | Carcinoid tumors of the gallbladder with adenocarcinomatous differentiation: a morphologic and immunohistochemical study. | 22 |
About Makoto Noda
Makoto Noda is a scholar working on Immunology and Allergy, Cancer Research and Molecular Biology, having authored 284 papers that have together received 15.9k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (38 papers), Cell Adhesion Molecules Research (26 papers) and Peptidase Inhibition and Analysis (20 papers). The work is most often cited by research in Cancer Research (2.7k citations), Immunology and Allergy (995 citations) and Molecular Biology (9.0k citations). Makoto Noda has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Sharad Kumar, Chiaki Takahashi, Hitoshi Kitayama, Yoji Ikawa, Makoto Kinoshita, Tomoko Matsuzaki, Gideon A. Rodan, Yoshikazu Sugimoto, M Nishizawa and Yasuhiro Tomooka. Their work appears in journals such as Nature, Science and Cell.
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.