Norifumi Morikawa
- Pharmacology top 1%
- Epidemiology top 5%
- Infectious Diseases top 5%
- Molecular Medicine top 1%
- Clinical Biochemistry top 2%
- Co-authors
- Kazuro IkawaKazuaki MatsumotoYasuo TakedaKayo IkedaAkari ShigemiErika WatanabeYuta YokoyamaHiroki Ohge
- Topics
- Antibiotics Pharmacokinetics and Efficacy (67 papers)Antibiotic Resistance in Bacteria (33 papers)Pneumonia and Respiratory Infections (26 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsAntimicrobial Agents and ChemotherapyAnalytical and Bioanalytical Chemistry
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
Norifumi Morikawa
99 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Pharmacology 892
- Epidemiology 535
- Infectious Diseases 486
- Molecular Medicine 375
- Clinical Biochemistry 160
Countries citing papers authored by Norifumi Morikawa
This map shows the geographic impact of Norifumi 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 Norifumi Morikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norifumi Morikawa more than expected).
Fields of papers citing papers by Norifumi Morikawa
This network shows the impact of papers produced by Norifumi 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 Norifumi Morikawa. The network helps show where Norifumi Morikawa may publish in the future.
Co-authorship network of co-authors of Norifumi Morikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Norifumi Morikawa. A scholar is included among the top collaborators of Norifumi 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 Norifumi Morikawa. Norifumi 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 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 47 | |
| 5 | 117 | |
| 6 | 16 | |
| 7 | 28 | |
| 8 | 22 | |
| 9 | Population pharmacokinetic modeling and pharmacodynamic assessment of cefozopran in pediatric patients. | 3 |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 25 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 1 |
About Norifumi Morikawa
Norifumi Morikawa is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Pharmacology, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (67 papers), Antibiotic Resistance in Bacteria (33 papers) and Pneumonia and Respiratory Infections (26 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (158 citations), Molecular Medicine (375 citations) and Pharmacology (892 citations). Norifumi Morikawa has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Kazuro Ikawa, Kazuaki Matsumoto, Yasuo Takeda, Kayo Ikeda, Akari Shigemi, Erika Watanabe, Yuta Yokoyama, Hiroki Ohge, Yoshihiro Shimodozono and Taijiro Sueda. Their work appears in journals such as Biochemical and Biophysical Research Communications, Antimicrobial Agents and Chemotherapy and Analytical and Bioanalytical Chemistry.
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.