Satoshi Ichise

500 total citations
35 papers, 299 citations indexed

About

Satoshi Ichise is a scholar working on Environmental Chemistry, Oceanography and Ecology. According to data from OpenAlex, Satoshi Ichise has authored 35 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Environmental Chemistry, 12 papers in Oceanography and 11 papers in Ecology. Recurrent topics in Satoshi Ichise's work include Aquatic Ecosystems and Phytoplankton Dynamics (22 papers), Marine and coastal ecosystems (11 papers) and Biocrusts and Microbial Ecology (6 papers). Satoshi Ichise is often cited by papers focused on Aquatic Ecosystems and Phytoplankton Dynamics (22 papers), Marine and coastal ecosystems (11 papers) and Biocrusts and Microbial Ecology (6 papers). Satoshi Ichise collaborates with scholars based in Japan, United Kingdom and Taiwan. Satoshi Ichise's co-authors include Michio Kumagai, Chih‐hao Hsieh, Kanako Ishikawa, Toshiyuki Ishikawa, Norio Yamamura, Naoyuki Kishimoto, Syuhei Ban, Yuka Sakai, Akihiro Tuji and Koji Suzuki and has published in prestigious journals such as Ecology, Global Change Biology and Hydrobiologia.

In The Last Decade

Satoshi Ichise

29 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Ichise Japan 8 179 135 127 47 40 35 299
Rainer Deneke Germany 8 315 1.8× 153 1.1× 161 1.3× 44 0.9× 17 0.4× 11 386
Malcolm Robb Australia 9 270 1.5× 128 0.9× 141 1.1× 25 0.5× 41 1.0× 10 456
Jacob John Australia 11 148 0.8× 163 1.2× 139 1.1× 37 0.8× 34 0.8× 28 396
M. M. Dent United Kingdom 4 228 1.3× 172 1.3× 161 1.3× 61 1.3× 16 0.4× 6 338
Jeff Sereda Canada 11 193 1.1× 188 1.4× 129 1.0× 177 3.8× 44 1.1× 16 408
Albert Luiz Suhett Brazil 9 133 0.7× 172 1.3× 178 1.4× 40 0.9× 46 1.1× 10 329
Daryl P. Holland Australia 12 180 1.0× 165 1.2× 249 2.0× 15 0.3× 30 0.8× 15 372
Justyna J. Hampel United States 9 257 1.4× 183 1.4× 204 1.6× 29 0.6× 16 0.4× 12 392
Sandra Brovold United States 8 228 1.3× 181 1.3× 132 1.0× 47 1.0× 11 0.3× 9 338
Anna Przytulska Canada 7 187 1.0× 131 1.0× 185 1.5× 57 1.2× 62 1.6× 7 316

Countries citing papers authored by Satoshi Ichise

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Ichise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Ichise

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Ichise. A scholar is included among the top collaborators of Satoshi Ichise 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 Satoshi Ichise. Satoshi Ichise 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
2.
Fujibayashi, Megumu, Hideki Hashimoto, Shiro Suzuki, et al.. (2023). Effects of Algal Extracellular Polysaccharides on the Formation of Filamentous Manganese Oxide Particles in the Near-Bottom Layer of Lake Biwa. Microorganisms. 11(7). 1814–1814. 2 indexed citations
3.
Zhang, Ji, Tian Yuan, Motoo Utsumi, et al.. (2022). Development of a Quantification and Detection Method for 2-MIB-producing Cyanobacteria. Turkish Journal of Fisheries and Aquatic Sciences. 23(4).
4.
Fujibayashi, Megumu, et al.. (2020). Dominance of harmful algae, Microcystis spp. and Micrasterias hardyi, has negative consequences for bivalves in a freshwater lake. Harmful Algae. 101. 101967–101967. 7 indexed citations
5.
Ichise, Satoshi, et al.. (2017). Sediment Assessment in Lake Biwa Littoral Zone. Japanese Journal of Water Treatment Biology. 53(1). 23–32. 1 indexed citations
6.
Suzuki, Shiro, Satoshi Ichise, Sadao Wakabayashi, et al.. (2015). Estimation of Organic Carbon Content of the Cyanobacterium Synechococcus sp. by Soft X-ray Microscopy. Geomicrobiology Journal. 32(9). 827–835. 1 indexed citations
7.
Yamamoto, Junya, et al.. (2015). Effects of environmental factors on microalgal biomass production in wastewater using cyanobacteriaAphanothece clathrataandMicrocystis wesenbergii. Environmental Technology. 37(4). 466–471. 2 indexed citations
8.
Kishimoto, Naoyuki, et al.. (2015). Does a Decrease in Chlorophyll <I>a</I> Concentration in Lake Biwa Mean a Decrease in Primary Productivity by Phytoplankton?. Journal of Water and Environment Technology. 13(1). 1–14. 4 indexed citations
9.
Okumura, Hiroki, et al.. (2014). Relationship between Lakeshore Configuration and Siltation in the East Coast of the Northern Basin of Lake Biwa. Journal of Japan Society on Water Environment. 37(2). 45–53. 2 indexed citations
10.
Fujiwara, Naoki, et al.. (2014). Analysis of Biodegradation Characteristics of Staurastrum arctiscon (Desmidiaceae) in Lake Biwa. Journal of Japan Society on Water Environment. 37(3). 103–109. 2 indexed citations
11.
Miki, Takeshi, Chun‐Wei Chang, Kanako Ishikawa, et al.. (2014). Phytoplankton functional group dynamics explain species abundance distribution in a directionally changing environment. Ecology. 95(12). 3335–3343. 16 indexed citations
12.
Suzuki, Kei, et al.. (2013). Influence of Cultural Conditions on the Cellular Biovolume and Gelatinous Sheath Volume of Staurastrum arctiscon (Charophyceae). Journal of Water and Environment Technology. 11(1). 49–58. 2 indexed citations
13.
Nomura, Munehiro, et al.. (2013). Mass Formation and Collection Methods, and Evaluation of Its Germination of Anabaena Resting Cells. Japanese Journal of Water Treatment Biology. 49(3). 103–108.
14.
Hsieh, Chih‐hao, Yuka Sakai, Syuhei Ban, et al.. (2011). Eutrophication and warming effects on long-term variation of zooplankton in Lake Biwa. Biogeosciences. 8(5). 1383–1399. 53 indexed citations
15.
Hsieh, Chih‐hao, Yuka Sakai, Syuhei Ban, et al.. (2011). Eutrophication and warming e ects on long-term variation of zooplankton in. 3 indexed citations
16.
Ichise, Satoshi, Takuji Ohigashi, H. Namba, et al.. (2011). X-ray Imaging of Mucilaginous Sheath of Phytoplankton in Lake Biwa by Soft X-ray Microscope. AIP conference proceedings. 373–376. 1 indexed citations
17.
Hsieh, Chih‐hao, Kanako Ishikawa, Yoichiro Sakai, et al.. (2010). Phytoplankton community reorganization driven by eutrophication and warming in Lake Biwa. Aquatic Sciences. 72(4). 467–483. 54 indexed citations
18.
Tsuda, Taizo, Takahiro Okamoto, Naoki Fujiwara, et al.. (2006). Long-term Monitoring of Vertical Water Quality in Northern Basin of Lake Biwa. Journal of Japan Society on Water Environment. 29(9). 565–568. 4 indexed citations
19.
Ichise, Satoshi, et al.. (2004). Seasonal variation of phototrophic picoplankton in Lake Biwa (1994?1998). Hydrobiologia. 528(1-3). 1–16. 15 indexed citations
20.
Ichise, Satoshi, et al.. (1995). The Distribution of Picoplanktonic Algae.. NIPPON SUISAN GAKKAISHI. 61(6). 932–933. 4 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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