Jun-ichiro Ishibashi

2.4k total citations
65 papers, 1.8k citations indexed

About

Jun-ichiro Ishibashi is a scholar working on Environmental Chemistry, Ecology and Molecular Biology. According to data from OpenAlex, Jun-ichiro Ishibashi has authored 65 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Environmental Chemistry, 27 papers in Ecology and 16 papers in Molecular Biology. Recurrent topics in Jun-ichiro Ishibashi's work include Methane Hydrates and Related Phenomena (33 papers), Microbial Community Ecology and Physiology (22 papers) and Geology and Paleoclimatology Research (14 papers). Jun-ichiro Ishibashi is often cited by papers focused on Methane Hydrates and Related Phenomena (33 papers), Microbial Community Ecology and Physiology (22 papers) and Geology and Paleoclimatology Research (14 papers). Jun-ichiro Ishibashi collaborates with scholars based in Japan, United States and New Zealand. Jun-ichiro Ishibashi's co-authors include Michinari Sunamura, Kyoko Okino, Akihiko Maruyama, Ken Takai, Tetsuro Urabe, Hitoshi Chiba, Toshiro Yamanaka, Urumu Tsunogai, Takuro Nunoura and Kei Okamura and has published in prestigious journals such as Geochimica et Cosmochimica Acta, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Jun-ichiro Ishibashi

65 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun-ichiro Ishibashi Japan 24 757 748 424 361 321 65 1.8k
Huaiyang Zhou China 26 746 1.0× 693 0.9× 393 0.9× 482 1.3× 386 1.2× 109 2.3k
Tomohiro Toki Japan 24 655 0.9× 901 1.2× 336 0.8× 354 1.0× 239 0.7× 62 1.9k
Tetsuro Urabe Japan 30 587 0.8× 606 0.8× 317 0.7× 737 2.0× 211 0.7× 69 1.9k
Shinsuke Kawagucci Japan 28 585 0.8× 701 0.9× 179 0.4× 403 1.1× 457 1.4× 76 1.9k
Toshiro Yamanaka Japan 22 740 1.0× 664 0.9× 202 0.5× 316 0.9× 478 1.5× 132 2.0k
J. R. Havig United States 24 749 1.0× 375 0.5× 376 0.9× 159 0.4× 134 0.4× 50 1.6k
Markus Bill United States 26 524 0.7× 445 0.6× 200 0.5× 293 0.8× 142 0.4× 70 2.3k
Christian Borowski Germany 25 916 1.2× 603 0.8× 212 0.5× 156 0.4× 806 2.5× 49 1.8k
William D. Leavitt United States 17 497 0.7× 541 0.7× 271 0.6× 97 0.3× 143 0.4× 36 1.3k
Tamotsu Oomori Japan 22 408 0.5× 393 0.5× 114 0.3× 251 0.7× 314 1.0× 66 1.6k

Countries citing papers authored by Jun-ichiro Ishibashi

Since Specialization
Citations

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

Fields of papers citing papers by Jun-ichiro Ishibashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-ichiro Ishibashi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-ichiro Ishibashi. A scholar is included among the top collaborators of Jun-ichiro Ishibashi 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-ichiro Ishibashi. Jun-ichiro Ishibashi 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.
Nozaki, Tatsuo, Junichiro Ohta, T. Noguchi, et al.. (2019). A Miocene impact ejecta layer in the pelagic Pacific Ocean. Scientific Reports. 9(1). 16111–16111. 14 indexed citations
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Yamagishi, Takahiro, Shigeshi Fuchida, Yoshifumi Horie, et al.. (2018). Evaluation of the toxicity of leaches from hydrothermal sulfide deposits by means of a delayed fluorescence-based bioassay with the marine cyanobacterium Cyanobium sp. NIES-981. Ecotoxicology. 27(10). 1303–1309. 7 indexed citations
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Fuchida, Shigeshi, Akiko Yokoyama, Rina Fukuchi, et al.. (2017). Leaching of Metals and Metalloids from Hydrothermal Ore Particulates and Their Effects on Marine Phytoplankton. ACS Omega. 2(7). 3175–3182. 36 indexed citations
7.
Yanagawa, Katsunori, Akira Ijiri, Anja Breuker, et al.. (2016). Defining boundaries for the distribution of microbial communities beneath the sediment-buried, hydrothermally active seafloor. The ISME Journal. 11(2). 529–542. 20 indexed citations
8.
Nozaki, Tatsuo, Jun-ichiro Ishibashi, Kazuhiko Shimada, et al.. (2016). Rapid growth of mineral deposits at artificial seafloor hydrothermal vents. Scientific Reports. 6(1). 22163–22163. 44 indexed citations
9.
Ishibashi, Jun-ichiro, Takuroh Noguchi, Tomohiro Toki, et al.. (2014). Diversity of fluid geochemistry affected by processes during fluid upwelling in active hydrothermal fields in the Izena Hole, the middle Okinawa Trough back-arc basin. GEOCHEMICAL JOURNAL. 48(4). 357–369. 65 indexed citations
10.
Kato, Shingo, Toshiro Yamanaka, Motoo Utsumi, et al.. (2013). Characteristics of Microbial Communities in Crustal Fluids in a Deep-Sea Hydrothermal Field of the Suiyo Seamount. Frontiers in Microbiology. 4. 85–85. 20 indexed citations
11.
Nishizawa, Manabu, Keisuke Koba, Akiko Makabe, et al.. (2013). Nitrification-driven forms of nitrogen metabolism in microbial mat communities thriving along an ammonium-enriched subsurface geothermal stream. Geochimica et Cosmochimica Acta. 113. 152–173. 18 indexed citations
12.
Kato, Shingo, Kentaro Nakamura, Tomohiro Toki, et al.. (2012). Iron-Based Microbial Ecosystem on and Below the Seafloor: A Case Study of Hydrothermal Fields of the Southern Mariana Trough. Frontiers in Microbiology. 3. 89–89. 28 indexed citations
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Nunoura, Takuro, Hanako Oida, Miwako Nakaseama, et al.. (2009). Archaeal Diversity and Distribution along Thermal and Geochemical Gradients in Hydrothermal Sediments at the Yonaguni Knoll IV Hydrothermal Field in the Southern Okinawa Trough. Applied and Environmental Microbiology. 76(4). 1198–1211. 77 indexed citations
15.
Nakaseama, Miwako, et al.. (2008). Fluid–Sediment Interaction in a Marine Shallow‐Water Hydrothermal System in the Wakamiko Submarine Crater, South Kyushu, Japan. Resource Geology. 58(3). 289–300. 14 indexed citations
16.
Mori, Koji, Michinari Sunamura, Katsunori Yanagawa, et al.. (2008). First Cultivation and Ecological Investigation of a Bacterium Affiliated with the Candidate Phylum OP5 from Hot Springs. Applied and Environmental Microbiology. 74(20). 6223–6229. 33 indexed citations
17.
Kimura, Hiroyuki, Jun-ichiro Ishibashi, Harue Masuda, Kenji Kato, & Satoshi Hanada. (2007). Selective Phylogenetic Analysis Targeting 16S rRNA Genes of Hyperthermophilic Archaea in the Deep-Subsurface Hot Biosphere. Applied and Environmental Microbiology. 73(7). 2110–2117. 29 indexed citations
18.
Nakagawa, Satoshi, Ken Takai, Fumio Inagaki, et al.. (2005). Variability in microbial community and venting chemistry in a sediment-hosted backarc hydrothermal system: Impacts of subseafloor phase-separation. FEMS Microbiology Ecology. 54(1). 141–155. 139 indexed citations
19.
Sunamura, Michinari, et al.. (2004). Two Bacteria Phylotypes Are Predominant in the Suiyo Seamount Hydrothermal Plume. Applied and Environmental Microbiology. 70(2). 1190–1198. 116 indexed citations
20.

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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