Noriyuki Morikawa
- Molecular Biology
- Immunology top 5%
- Microbiology top 2%
- Genetics top 5%
- Physiology
- Co-authors
- Tamaki OdaYasuhiko MasuhoYoko SaitoShun‐ichiro MatsumotoK. HagiwaraTerumi NakajimaHiroo IwataYoshito Ikada
- Topics
- Pancreatic function and diabetes (8 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers)Intracranial Aneurysms: Treatment and Complications (4 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Noriyuki Morikawa
55 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 677
- Immunology 570
- Microbiology 236
- Genetics 198
- Physiology 177
Countries citing papers authored by Noriyuki Morikawa
This map shows the geographic impact of Noriyuki Morikawa'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 Noriyuki Morikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriyuki Morikawa more than expected).
Fields of papers citing papers by Noriyuki Morikawa
This network shows the impact of papers produced by Noriyuki Morikawa. 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 Noriyuki Morikawa. The network helps show where Noriyuki Morikawa may publish in the future.
Co-authorship network of co-authors of Noriyuki Morikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Noriyuki Morikawa. A scholar is included among the top collaborators of Noriyuki Morikawa 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 Noriyuki Morikawa. Noriyuki Morikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 16 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 78 | |
| 7 | 7 | |
| 8 | 43 | |
| 9 | 20 | |
| 10 | 2 | |
| 11 | 56 | |
| 12 | 31 | |
| 13 | Prediction of Human Skin Irritancy Using a Cultured Human Skin Model : Comparison of Chemical Application Procedures and Development of a Novel Chemical Application Procedure Using the Vitrolife-Skin^ Model | 1 |
| 14 | 12 | |
| 15 | Molecular Cloning and Characterization of a Novel Type of Histamine Receptor Preferentially Expressed in Leukocytesbreakdown → | 509 |
| 16 | 1 | |
| 17 | 67 | |
| 18 | 240 | |
| 19 | 3 | |
| 20 | OXIDATION AND REDUCTION OF GLYOXYLATE BY LACTATE DEHYDROGENASE | 1 |
About Noriyuki Morikawa
Noriyuki Morikawa is a scholar working on Microbiology, Genetics and Toxicology, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers) and Intracranial Aneurysms: Treatment and Complications (4 papers). The work is most often cited by research in Microbiology (236 citations), Immunology (570 citations) and Immunology and Allergy (121 citations). Noriyuki Morikawa has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Tamaki Oda, Yasuhiko Masuho, Yoko Saito, Shun‐ichiro Matsumoto, K. Hagiwara, Terumi Nakajima, Hiroo Iwata, Yoshito Ikada, Yasuhiro Kita and Shintaro Nishimura. Their work appears in journals such as Nature, Journal of Biological Chemistry and Biomaterials.
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.