Keiji Murayama
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Organic Chemistry
- Co-authors
- Hiroyuki AsanumaHiromu KashidaYukiko KamiyaA. IshitaniKenichi MoritaAkira NakajimaPaul A. SievingXingguo Liang
- Topics
- Advanced biosensing and bioanalysis techniques (46 papers)DNA and Nucleic Acid Chemistry (43 papers)RNA Interference and Gene Delivery (21 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionNature Communications
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Keiji Murayama
67 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 941
- Materials Chemistry 358
- Cellular and Molecular Neuroscience 173
- Biomedical Engineering 147
- Organic Chemistry 141
Countries citing papers authored by Keiji Murayama
This map shows the geographic impact of Keiji Murayama'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 Keiji Murayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiji Murayama more than expected).
Fields of papers citing papers by Keiji Murayama
This network shows the impact of papers produced by Keiji Murayama. 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 Keiji Murayama. The network helps show where Keiji Murayama may publish in the future.
Co-authorship network of co-authors of Keiji Murayama
This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Murayama. A scholar is included among the top collaborators of Keiji Murayama 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 Keiji Murayama. Keiji Murayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 12 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 76 | |
| 10 | 12 | |
| 11 | 32 | |
| 12 | 45 | |
| 13 | 33 | |
| 14 | 57 | |
| 15 | 44 | |
| 16 | 16 | |
| 17 | 78 | |
| 18 | 26 | |
| 19 | Different rates of growth of monkey and human photopic a-, b-, and d-waves suggest two sites of ERG light adaptation | 26 |
| 20 | Abnormal threshold ERG response in X-linked juvenile retinoschisis: Evidence for a proximal retinal origin of the human STR | 22 |
About Keiji Murayama
Keiji Murayama is a scholar working on Molecular Biology, Ophthalmology and Cellular and Molecular Neuroscience, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (46 papers), DNA and Nucleic Acid Chemistry (43 papers) and RNA Interference and Gene Delivery (21 papers). The work is most often cited by research in Molecular Biology (941 citations), Cellular and Molecular Neuroscience (173 citations) and Materials Chemistry (358 citations). Keiji Murayama has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiroyuki Asanuma, Hiromu Kashida, Yukiko Kamiya, A. Ishitani, Kenichi Morita, Akira Nakajima, Paul A. Sieving, Xingguo Liang, Michael Famulok and Julián Valero. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.
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.