Jun Okada
Impact in
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
- Equine top 10%
Papers in
-
- Advanced biosensing and bioanalysis techniques 4
- Surgery 10
- Co-authors
- Junji Inukai (2 shared papers)Kingo Itaya (2 shared papers)Li‐Jun Wan (1 shared paper)Takeshi Suzuki (1 shared paper)K. Sashikata (1 shared paper)Keizō Matsumoto (2 shared papers)Yoshinobu Okuno (3 shared papers)Nobuko Ohshima (3 shared papers)
- Journals
- Rapid Communications in Mass Spectrometry (4 papers)Modern Rheumatology (3 papers)PLoS ONE (2 papers)Brain Topography (2 papers)International Journal of Hematology (2 papers)
- Partner nations
- JapanRussiaUnited States
In The Last Decade
Jun Okada
86 papers receiving 898 citations
Peers
Comparison fields: 5 of 146
- Electrochemistry 87
- Equine 13
- Renewable Energy, Sustainability and the Environment 98
- Catalysis 30
- Epidemiology 122
Countries citing papers authored by Jun Okada
This map shows the geographic impact of Jun Okada'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 Jun Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Okada more than expected).
Fields of papers citing papers by Jun Okada
This network shows the impact of papers produced by Jun Okada. 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 Jun Okada. The network helps show where Jun Okada may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Okada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 104 | |
| 2 | 2014 | 65 | |
| 3 | 2001 | 48 | |
| 4 | 2021 | 35 | |
| 5 | 1993 | 32 | |
| 6 | 2006 | 30 | |
| 7 | 1991 | 30 | |
| 8 | 2019 | 27 | |
| 9 | 2015 | 26 | |
| 10 | 2007 | 26 | |
| 11 | 2010 | 25 | |
| 12 | 1991 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2009 | 22 | |
| 15 | 2013 | 19 | |
| 16 | 2007 | 19 | |
| 17 | 2011 | 16 | |
| 18 | 2010 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 1999 | 14 |
About Jun Okada
Jun Okada is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Epidemiology and Infectious Diseases, having authored 96 papers that have together received 940 indexed citations. Recurring topics across this work include Asian Culture and Media Studies (6 papers), Urban and spatial planning (5 papers), Fatigue and fracture mechanics (5 papers), Hong Kong and Taiwan Politics (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Veterinary Equine Medical Research (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Electrochemistry (87 citations), Equine (13 citations), Renewable Energy, Sustainability and the Environment (98 citations), Catalysis (30 citations) and Epidemiology (122 citations). Jun Okada has collaborated with scholars based in Japan, Russia and United States. Frequent co-authors include Junji Inukai, Kingo Itaya, Li‐Jun Wan, Takeshi Suzuki, K. Sashikata, Keizō Matsumoto, Yoshinobu Okuno, Nobuko Ohshima, Yoshitaka Iba and Ritsuko Kubota‐Koketsu. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Modern Rheumatology, PLoS ONE, Brain Topography and International Journal of Hematology.
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.