Jun Nishioka
- Oceanography top 0.2%
- Marine and coastal ecosystems 131
- Marine Biology and Ecology Research 63
- Oceanographic and Atmospheric Processes 40
- Ocean Acidification Effects and Responses 15
- Geochemistry and Petrology top 1%
- Environmental Chemistry top 1%
- Methane Hydrates and Related Phenomena 26
- Atmospheric Science top 2%
- Arctic and Antarctic ice dynamics 31
- Ecology top 1%
- Isotope Analysis in Ecology 24
- Microbial Community Ecology and Physiology 16
Jun Nishioka
171 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 91
- Oceanography 3.3k
- Geochemistry and Petrology 536
- Environmental Chemistry 745
- Atmospheric Science 1.2k
- Ecology 1.2k
Countries citing papers authored by Jun Nishioka
This map shows the geographic impact of Jun Nishioka'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 Nishioka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Nishioka more than expected).
Fields of papers citing papers by Jun Nishioka
This network shows the impact of papers produced by Jun Nishioka. 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 Nishioka. The network helps show where Jun Nishioka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Nishioka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 27 | |
| 12 | 2020 | 13 | |
| 13 | 2013 | 13 | |
| 14 | The annual cycle of surface iron and the source of iron supporting the spring diatom bloom in the Oyashio region, western subarctic Pacific | 2010 | 3 |
| 15 | Fe(II) distribution in the Arabian Sea oxygen minimum zone and Western tropical Indian Ocean from GEOTRACES KH-09-5 | 2010 | 1 |
| 16 | The response of the virus community to a mesoscale iron fertilization in the sub-Arctic Pacific Ocean | 2009 | 3 |
| 17 | 2009 | 20 | |
| 18 | Delay and Attenuation Characteristics of Power-Line Channels in Ships | 2009 | 2 |
| 19 | Characteristics of Power-Line Channels on the 440V Line of Container ships | 2008 | 1 |
| 20 | 1995 | 5 |
About Jun Nishioka
Jun Nishioka is a scholar working on Oceanography, Environmental Chemistry and Atmospheric Science, having authored 176 papers that have together received 4.3k indexed citations. Recurring topics across this work include Marine and coastal ecosystems (131 papers), Marine Biology and Ecology Research (63 papers), Oceanographic and Atmospheric Processes (40 papers), Arctic and Antarctic ice dynamics (31 papers), Methane Hydrates and Related Phenomena (26 papers), Isotope Analysis in Ecology (24 papers), Microbial Community Ecology and Physiology (16 papers) and Ocean Acidification Effects and Responses (15 papers). The work is most often cited by research in Oceanography (3.3k citations), Geochemistry and Petrology (536 citations) and Environmental Chemistry (745 citations). Jun Nishioka has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Kenshi Kuma, Shigenobu Takeda, Hajime Obata, Atsushi Tsuda, Katsuhiko Matsunaga, Koji Suzuki, Youhei Yamashita, Hiroaki Saito, Takeshi Yoshimura and Tsuneo Ono. Their work appears in journals such as Progress In Oceanography, Marine Chemistry, Journal of Oceanography, Deep Sea Research Part II Topical Studies in Oceanography and Geophysical Research Letters.
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.