Jun Sasaki

1.2k total citations
92 papers, 863 citations indexed

About

Jun Sasaki is a scholar working on Oceanography, Earth-Surface Processes and Ecology. According to data from OpenAlex, Jun Sasaki has authored 92 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oceanography, 24 papers in Earth-Surface Processes and 22 papers in Ecology. Recurrent topics in Jun Sasaki's work include Coastal and Marine Dynamics (23 papers), Marine and coastal ecosystems (16 papers) and Tropical and Extratropical Cyclones Research (14 papers). Jun Sasaki is often cited by papers focused on Coastal and Marine Dynamics (23 papers), Marine and coastal ecosystems (16 papers) and Tropical and Extratropical Cyclones Research (14 papers). Jun Sasaki collaborates with scholars based in Japan, United States and China. Jun Sasaki's co-authors include M.A. Rakib, Hirotaka Matsuda, Mohammad Amir Hossain Bhuiyan, Md. Bodrud-Doza, Hiroto HIGA, Nguyen Hao Quang, Andrew B. Kennedy, Takenori Shimozono, Hisamichi Nobuoka and Shinji Sato and has published in prestigious journals such as Biochemistry, Scientific Reports and Chemosphere.

In The Last Decade

Jun Sasaki

76 papers receiving 822 citations

Peers

Jun Sasaki
Comparison fields: 5 of 106
  • Atmospheric Science 200
  • Earth-Surface Processes 198
  • Oceanography 197
  • Ecology 179
  • Global and Planetary Change 164
Replace A. D. Reeves with:
A. D. Reeves United Kingdom
Т. В. Ходжер Russia
Tomohiro Yamaguchi Japan
Gerald Kirchner Germany
Mahender Kotha India
Vicky Moss‐Hayes United Kingdom
Xijie Yin China
Paulo Alves de Lima Ferreira Brazil
Rui Coutinho Portugal
Praveen K. Mishra India
A. D. Reeves United Kingdom View profile →
Citations per field, relative to Jun Sasaki
Jun Sasaki · 1×
Citations per year, relative to Jun Sasaki
Jun Sasaki · 1×

Countries citing papers authored by Jun Sasaki

Since Specialization
Citations

This map shows the geographic impact of Jun Sasaki'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 Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sasaki more than expected).

Fields of papers citing papers by Jun Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Sasaki. 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 Sasaki. The network helps show where Jun Sasaki may publish in the future.

Co-authorship network of co-authors of Jun Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Sasaki. A scholar is included among the top collaborators of Jun Sasaki 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 Jun Sasaki. Jun Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 2
4 4
5 5
6 5
7 8
8 114
9 75
10 1
11 0
12 3
13 1
14 1
15 11
16 1
17 1
18 17
19 9
20
Development of a Long-Term Predictive Model of Water Quality in Tokyo Bay
8

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.

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