Nariyasu Mano
- Molecular Biology top 5%
- Oncology top 2%
- Spectroscopy top 1%
- Pediatrics, Perinatology and Child Health top 2%
- Epidemiology top 10%
- Co-authors
- Junichi GotoHiroaki YamaguchiMasamitsu MaekawaNaoki AsakawaTakashi IidaTakaaki GotoYoshiya OdaTaku Obara
- Topics
- Drug Transport and Resistance Mechanisms (57 papers)Analytical Chemistry and Chromatography (40 papers)Mass Spectrometry Techniques and Applications (25 papers)
- Cited by
- PharmacologyOncologySpectroscopy
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Nariyasu Mano
285 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.4k
- Oncology 1.2k
- Spectroscopy 589
- Pediatrics, Perinatology and Child Health 448
- Epidemiology 437
Countries citing papers authored by Nariyasu Mano
This map shows the geographic impact of Nariyasu Mano'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 Nariyasu Mano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nariyasu Mano more than expected).
Fields of papers citing papers by Nariyasu Mano
This network shows the impact of papers produced by Nariyasu Mano. 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 Nariyasu Mano. The network helps show where Nariyasu Mano may publish in the future.
Co-authorship network of co-authors of Nariyasu Mano
This figure shows the co-authorship network connecting the top 25 collaborators of Nariyasu Mano. A scholar is included among the top collaborators of Nariyasu Mano 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 Nariyasu Mano. Nariyasu Mano 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 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 14 | |
| 12 | Identification and diagnostic performance evaluation of biomarkers for Niemann-Pick disease type C using mass spectrometry | 1 |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | Development of a simultaneous analytical method for five conjugated cholesterol metabolites in urine and investigation of their performance as diagnostic markers for Niemann-Pick disease type C | 0 |
| 17 | 30 | |
| 18 | 22 | |
| 19 | 14 | |
| 20 | 24 |
About Nariyasu Mano
Nariyasu Mano is a scholar working on Toxicology, Pharmacology and Clinical Biochemistry, having authored 300 papers that have together received 4.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (57 papers), Analytical Chemistry and Chromatography (40 papers) and Mass Spectrometry Techniques and Applications (25 papers). The work is most often cited by research in Pharmacology (428 citations), Oncology (1.2k citations) and Spectroscopy (589 citations). Nariyasu Mano has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Junichi Goto, Hiroaki Yamaguchi, Masamitsu Maekawa, Naoki Asakawa, Takashi Iida, Takaaki Goto, Yoshiya Oda, Taku Obara, Jiro Ogura and Miki Shimada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.