Reiko Kobayashi
- Epidemiology top 5%
- Microbiology top 1%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Automotive Engineering top 5%
- Co-authors
- Keiko HasegawaNaoko ChibaKimiko UbukataSatoshi IwataKeisuke SunakawaNorman Y. KadoRobert A. OkamotoMiyuki Morozumi
- Topics
- Pneumonia and Respiratory Infections (12 papers)Air Quality and Health Impacts (9 papers)Vehicle emissions and performance (8 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Reiko Kobayashi
54 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Epidemiology 608
- Microbiology 384
- Molecular Biology 255
- Health, Toxicology and Mutagenesis 239
- Automotive Engineering 210
Countries citing papers authored by Reiko Kobayashi
This map shows the geographic impact of Reiko Kobayashi'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 Reiko Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reiko Kobayashi more than expected).
Fields of papers citing papers by Reiko Kobayashi
This network shows the impact of papers produced by Reiko Kobayashi. 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 Reiko Kobayashi. The network helps show where Reiko Kobayashi may publish in the future.
Co-authorship network of co-authors of Reiko Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Reiko Kobayashi. A scholar is included among the top collaborators of Reiko Kobayashi 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 Reiko Kobayashi. Reiko Kobayashi 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 | 10 | |
| 3 | 40 | |
| 4 | 24 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 102 | |
| 8 | 45 | |
| 9 | 84 | |
| 10 | 87 | |
| 11 | 5 | |
| 12 | 25 | |
| 13 | 8 | |
| 14 | 109 | |
| 15 | 47 | |
| 16 | Antibiotic susceptibility and T type identification of Streptococcus pyogenes isolated from pediatric outpatients with pharyngotonsillitis | 2 |
| 17 | 3 | |
| 18 | Epidemiology of Streptococcus pneumoniae isolates from patients with meningitis between 1993 and 2002 | 2 |
| 19 | THE METABOLISM OF ROXATIDINE ACETATE HYDROCHLORIDE (TZU-0460), A NEW H_2-ANTAGONIST, IN RATS AND DOGS : ABNORMAL LIBERATION OF HYDROGEN ATOM FROM THE PIPERIDINE RING DURING HYDROXYLATION | 1 |
| 20 | 1 |
About Reiko Kobayashi
Reiko Kobayashi is a scholar working on Microbiology, Automotive Engineering and Health, Toxicology and Mutagenesis, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (12 papers), Air Quality and Health Impacts (9 papers) and Vehicle emissions and performance (8 papers). The work is most often cited by research in Microbiology (384 citations), Molecular Medicine (168 citations) and Automotive Engineering (210 citations). Reiko Kobayashi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Keiko Hasegawa, Naoko Chiba, Kimiko Ubukata, Satoshi Iwata, Keisuke Sunakawa, Norman Y. Kado, Robert A. Okamoto, Miyuki Morozumi, Alberto Ayala and Eiichi Nakayama. Their work appears in journals such as Journal of Biological Chemistry, Environmental Science & Technology and Chemosphere.
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.