Takuro MURAKAMI
- Molecular Biology top 10%
- Surgery top 5%
- Cell Biology top 2%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Co-authors
- Aiji OhtsukaTakehito TAGUCHIAkio KikutaTsuneo FujitaOsamu OhtaniYoshifumi NinomiyaMasayuki MiyoshiToshitaka Oohashi
- Topics
- Proteoglycans and glycosaminoglycans research (28 papers)Glycosylation and Glycoproteins Research (24 papers)Cell Adhesion Molecules Research (11 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Takuro MURAKAMI
157 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.1k
- Surgery 870
- Cell Biology 735
- Cellular and Molecular Neuroscience 492
- Genetics 315
Countries citing papers authored by Takuro MURAKAMI
This map shows the geographic impact of Takuro MURAKAMI'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 Takuro MURAKAMI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuro MURAKAMI more than expected).
Fields of papers citing papers by Takuro MURAKAMI
This network shows the impact of papers produced by Takuro MURAKAMI. 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 Takuro MURAKAMI. The network helps show where Takuro MURAKAMI may publish in the future.
Co-authorship network of co-authors of Takuro MURAKAMI
This figure shows the co-authorship network connecting the top 25 collaborators of Takuro MURAKAMI. A scholar is included among the top collaborators of Takuro MURAKAMI 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 Takuro MURAKAMI. Takuro MURAKAMI is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 72 | |
| 2 | 13 | |
| 3 | 100 | |
| 4 | 2 | |
| 5 | 103 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | A new approach to develop a biohybrid artificial liver using a tightly regulated human hepatocyte cell line. | 7 |
| 10 | 59 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 34 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 26 | |
| 19 | 52 | |
| 20 | Scanning Electron Microscopy of Vascular Casts : A Methodological Review with Some Comments on the Angioarchitecture of Rat Hypophysis | 2 |
About Takuro MURAKAMI
Takuro MURAKAMI is a scholar working on Structural Biology, Cell Biology and Immunology and Allergy, having authored 161 papers that have together received 3.6k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (28 papers), Glycosylation and Glycoproteins Research (24 papers) and Cell Adhesion Molecules Research (11 papers). The work is most often cited by research in Cell Biology (735 citations), Immunology and Allergy (196 citations) and Cellular and Molecular Neuroscience (492 citations). Takuro MURAKAMI has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Aiji Ohtsuka, Takehito TAGUCHI, Akio Kikuta, Tsuneo Fujita, Osamu Ohtani, Yoshifumi Ninomiya, Masayuki Miyoshi, Toshitaka Oohashi, Tatsuya Itoshima and Satoshi Hirakawa. Their work appears in journals such as Circulation, Gastroenterology and Applied and Environmental Microbiology.
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.