Hiroshi Murakami
- Molecular Biology
- Oncology top 10%
- Immunology top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Shigekazu NagataAkira SakaiA. YoshikawaMasaharu SenoTomonari KasaiOrson W. MoeAkifumi MizutaniYukimasa Kohda
- Topics
- Immune Response and Inflammation (6 papers)Cytokine Signaling Pathways and Interactions (5 papers)Cancer Cells and Metastasis (5 papers)
- Cited by
- Structural BiologyOncologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hiroshi Murakami
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 518
- Oncology 317
- Immunology 218
- Electrical and Electronic Engineering 160
- Biomedical Engineering 151
Countries citing papers authored by Hiroshi Murakami
This map shows the geographic impact of Hiroshi 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 Hiroshi Murakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Murakami more than expected).
Fields of papers citing papers by Hiroshi Murakami
This network shows the impact of papers produced by Hiroshi 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 Hiroshi Murakami. The network helps show where Hiroshi Murakami may publish in the future.
Co-authorship network of co-authors of Hiroshi Murakami
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Murakami. A scholar is included among the top collaborators of Hiroshi 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 Hiroshi Murakami. Hiroshi 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 | 31 | |
| 2 | SGO1 is involved in the DNA damage response in MYCNamplified neuroblastoma cells | 1 |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 19 | |
| 6 | 46 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 40 | |
| 14 | An investigation of a cell-wall charge effect in a PDP cells by a cylindrical coordinate system simulation for a PDP | 1 |
| 15 | 1 | |
| 16 | 89 | |
| 17 | 0 | |
| 18 | Study of effect on sign language communication with MPEG4 | 2 |
| 19 | 19 | |
| 20 | 20 |
About Hiroshi Murakami
Hiroshi Murakami is a scholar working on Human-Computer Interaction, Immunology and Oncology, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Structural Biology (25 citations), Oncology (317 citations) and Immunology (218 citations). Hiroshi Murakami has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shigekazu Nagata, Akira Sakai, A. Yoshikawa, Masaharu Seno, Tomonari Kasai, Orson W. Moe, Akifumi Mizutani, Yukimasa Kohda, Robert A. Star and Kasumi Murai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.