Shigeho Kakehi

1.0k total citations
61 papers, 686 citations indexed

About

Shigeho Kakehi is a scholar working on Oceanography, Global and Planetary Change and Ecology. According to data from OpenAlex, Shigeho Kakehi has authored 61 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Oceanography, 23 papers in Global and Planetary Change and 19 papers in Ecology. Recurrent topics in Shigeho Kakehi's work include Marine and coastal ecosystems (28 papers), Oceanographic and Atmospheric Processes (18 papers) and Marine and fisheries research (15 papers). Shigeho Kakehi is often cited by papers focused on Marine and coastal ecosystems (28 papers), Oceanographic and Atmospheric Processes (18 papers) and Marine and fisheries research (15 papers). Shigeho Kakehi collaborates with scholars based in Japan, United States and Malaysia. Shigeho Kakehi's co-authors include Shin‐ichi Ito, Taku Wagawa, Yugo Shimizu, Kazutaka Takahashi, Hiroshi Kuroda, Hiroaki Saito, Daisuke Ambe, Yuji Okazaki, Masashi Sekino and Tomowo Watanabe and has published in prestigious journals such as PLoS ONE, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Shigeho Kakehi

59 papers receiving 672 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shigeho Kakehi Japan 16 383 343 265 112 63 61 686
Deon C. Louw South Africa 12 326 0.9× 274 0.8× 252 1.0× 64 0.6× 56 0.9× 23 627
Hiromi Kasai Japan 16 784 2.0× 330 1.0× 507 1.9× 125 1.1× 36 0.6× 50 1.0k
Kazuaki Tadokoro Japan 18 796 2.1× 715 2.1× 562 2.1× 113 1.0× 203 3.2× 46 1.2k
Naoko Murakami‐Sugihara Japan 13 146 0.4× 212 0.6× 196 0.7× 68 0.6× 45 0.7× 34 374
Hanieh Saeedi Germany 17 412 1.1× 264 0.8× 521 2.0× 60 0.5× 61 1.0× 48 802
Jean-Claude Duchêne France 13 360 0.9× 234 0.7× 335 1.3× 52 0.5× 50 0.8× 27 553
S. V. Smith United States 8 295 0.8× 185 0.5× 325 1.2× 43 0.4× 34 0.5× 10 513
Sergio Aguíñiga‐García Mexico 13 118 0.3× 184 0.5× 312 1.2× 46 0.4× 54 0.9× 27 442
Armando J. Almeida Portugal 9 218 0.6× 205 0.6× 272 1.0× 29 0.3× 103 1.6× 32 549
Didrik S. Danielssen Norway 14 220 0.6× 325 0.9× 181 0.7× 78 0.7× 194 3.1× 39 584

Countries citing papers authored by Shigeho Kakehi

Since Specialization
Citations

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

Fields of papers citing papers by Shigeho Kakehi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeho Kakehi

This figure shows the co-authorship network connecting the top 25 collaborators of Shigeho Kakehi. A scholar is included among the top collaborators of Shigeho Kakehi 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 Shigeho Kakehi. Shigeho Kakehi 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
1.
Kakehi, Shigeho, Kosuke Suzuki, Takayuki KOIZUMI, et al.. (2024). In-situ verification of a deep-learning-based larval identification system for the Pacific oyster Magallana gigas. Regional Studies in Marine Science. 75. 103572–103572.
2.
Hirawake, Toru, Youhei Yamashita, Hiroto Abe, et al.. (2024). Classification of optical water groups in the subarctic Pacific and adjacent seas using satellite-derived light absorption spectra of chromophoric dissolved organic matter. Deep Sea Research Part I Oceanographic Research Papers. 208. 104313–104313. 1 indexed citations
3.
4.
Kakehi, Shigeho. (2022). Developing short-term predictions for the distribution of Pacific oyster Crassostrea gigas larvae. Fisheries Science. 88(5). 593–608. 1 indexed citations
5.
Kaga, Shinnosuke, et al.. (2022). Seasonal variations in nutrient concentrations in Sanriku coastal waters, Japan: Effects on Undaria pinnatifida (Laminariales; Phaeophyta) seaweed farms. Regional Studies in Marine Science. 54. 102484–102484. 4 indexed citations
6.
Kakehi, Shigeho, et al.. (2021). Identification and counting of Pacific oyster Crassostrea gigas larvae by object detection using deep learning. Aquacultural Engineering. 95. 102197–102197. 15 indexed citations
7.
Sakami, Tomoko, Tsuyoshi Watanabe, Yukiko Taniuchi, et al.. (2021). Metagenomic analysis provides functional insights into seasonal change of a non-cyanobacterial prokaryotic community in temperate coastal waters. PLoS ONE. 16(10). e0257862–e0257862. 4 indexed citations
8.
Wagawa, Taku, Shin‐ichi Ito, Shigeho Kakehi, et al.. (2020). Flow structure of a quasi-stationary jet in the western subarctic Pacific (the Western Isoguchi Jet). Deep Sea Research Part I Oceanographic Research Papers. 162. 103346–103346. 3 indexed citations
9.
10.
Hara, Motoyuki, et al.. (2018). Environmental survey for sustainable aquaculture of oyster in Nagazuraura, Miyagi Prefecture. NIPPON SUISAN GAKKAISHI. 84(6). 1054–1057. 1 indexed citations
11.
Wagawa, Taku, Hiroshi Kuroda, Shin‐ichi Ito, et al.. (2016). Relationship between coastal water properties and adult return of chum salmon (Oncorhynchus keta) along the Sanriku coast, Japan. Fisheries Oceanography. 25(6). 598–609. 13 indexed citations
12.
13.
Kakehi, Shigeho, Shin‐ichi Ito, Akira Kuwata, Hiroaki Saito, & Kazuaki Tadokoro. (2015). Phytoplankton distribution during the winter convective season in Sendai Bay, Japan. Continental Shelf Research. 97. 43–53. 10 indexed citations
14.
Taniuchi, Yukiko, Tsuyoshi Watanabe, Shigeho Kakehi, Tomoko Sakami, & Akira Kuwata. (2015). Seasonal dynamics of the phytoplankton community in Sendai Bay, northern Japan. Journal of Oceanography. 73(1). 1–9. 14 indexed citations
15.
Wagawa, Taku, Shin‐ichi Ito, Yugo Shimizu, Shigeho Kakehi, & Daisuke Ambe. (2014). Currents Associated with the Quasi-Stationary Jet Separated from the Kuroshio Extension. Journal of Physical Oceanography. 44(6). 1636–1653. 25 indexed citations
16.
Kakehi, Shigeho, Shin‐ichi Ito, Hiroshi Yagi, & Taku Wagawa. (2012). Estimation of the Residence Time of Fresh and Brackish Water in Sendai Bay. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 68(2). I_951–I_955. 15 indexed citations
17.
Yagi, Hiroshi, et al.. (2012). Variations of velocities and water qualities off Sendai coast in stratified period of 2011. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 68(2). I_1106–I_1110. 2 indexed citations
18.
Sekino, Masashi & Shigeho Kakehi. (2011). PARFEX v1.0: an EXCEL™-based software package for parentage allocation. Conservation Genetics Resources. 4(2). 275–278. 24 indexed citations
19.
Ito, Shin‐ichi, Naoki Yoshie, Takeshi Okunishi, et al.. (2010). Application of an automatic approach to calibrate the NEMURO nutrient–phytoplankton–zooplankton food web model in the Oyashio region. Progress In Oceanography. 87(1-4). 186–200. 14 indexed citations
20.
Kakehi, Shigeho & Tateki Fujiwara. (2007). Dynamics of Nutrients in Ise Bay: Seasonal Variations of Non-Conservative Change of Nutrients. Oceanography in Japan. 16(6). 437–453. 2 indexed citations

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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