Tomoo Sawabe

6.2k total citations · 1 hit paper
147 papers, 4.6k citations indexed

About

Tomoo Sawabe is a scholar working on Molecular Biology, Ecology and Endocrinology. According to data from OpenAlex, Tomoo Sawabe has authored 147 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 65 papers in Ecology and 43 papers in Endocrinology. Recurrent topics in Tomoo Sawabe's work include Genomics and Phylogenetic Studies (54 papers), Microbial Community Ecology and Physiology (47 papers) and Aquaculture disease management and microbiota (41 papers). Tomoo Sawabe is often cited by papers focused on Genomics and Phylogenetic Studies (54 papers), Microbial Community Ecology and Physiology (47 papers) and Aquaculture disease management and microbiota (41 papers). Tomoo Sawabe collaborates with scholars based in Japan, Brazil and France. Tomoo Sawabe's co-authors include Yoshio Ezura, Fabiano L. Thompson, Sayaka Mino, Kumiko Kita-Tsukamoto, Elena P. Ivanova, Richard Christen, Reiji Tanaka, Nurhidayu Al‐saari, Satoshi Nakagawa and Youhei Fukui and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Tomoo Sawabe

145 papers receiving 4.5k citations

Hit Papers

Vibriosis in Fish: A Review on Disease Development and Pr... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoo Sawabe Japan 38 2.1k 1.8k 1.6k 1.2k 875 147 4.6k
Suhelen Egan Australia 39 1.5k 0.7× 1.9k 1.1× 573 0.4× 252 0.2× 688 0.8× 105 4.8k
Yannick Gueguen France 41 1.1k 0.6× 709 0.4× 2.2k 1.4× 200 0.2× 829 0.9× 87 4.9k
Rodrigo Costa Portugal 38 1.1k 0.5× 1.4k 0.8× 477 0.3× 230 0.2× 246 0.3× 97 4.0k
Max Teplitski United States 38 1.9k 0.9× 1.3k 0.7× 440 0.3× 618 0.5× 88 0.1× 99 5.3k
Teresa L. Maugeri Italy 31 805 0.4× 857 0.5× 349 0.2× 360 0.3× 204 0.2× 65 2.3k
Shengkang Li China 41 1.0k 0.5× 1.1k 0.6× 2.4k 1.6× 149 0.1× 2.1k 2.4× 203 4.8k
Mohamed Shariff Malaysia 33 580 0.3× 755 0.4× 1.9k 1.2× 272 0.2× 1.6k 1.8× 122 4.2k
Valery V. Mikhailov Russia 40 2.8k 1.3× 2.5k 1.4× 413 0.3× 118 0.1× 230 0.3× 128 3.8k
Ronald M. Weiner United States 34 1.3k 0.7× 707 0.4× 156 0.1× 320 0.3× 305 0.3× 81 3.1k
Heinrich F. Kaspar New Zealand 28 580 0.3× 759 0.4× 678 0.4× 131 0.1× 698 0.8× 45 3.0k

Countries citing papers authored by Tomoo Sawabe

Since Specialization
Citations

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

Fields of papers citing papers by Tomoo Sawabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoo Sawabe

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoo Sawabe. A scholar is included among the top collaborators of Tomoo Sawabe 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 Tomoo Sawabe. Tomoo Sawabe 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.
3.
Sakai, Yuichi, et al.. (2023). Unveiling the early life core microbiome of the sea cucumber Apostichopus japonicus and the unexpected abundance of the growth-promoting Sulfitobacter. SHILAP Revista de lepidopterología. 5(1). 54–54. 14 indexed citations
4.
Mino, Sayaka, Fabiano L. Thompson, Jesús L. Romalde, et al.. (2023). Genome taxonomy of the genus Neptuniibacter and proposal of Neptuniibacter victor sp. nov. isolated from sea cucumber larvae. PLoS ONE. 18(8). e0290060–e0290060. 5 indexed citations
5.
Sawabe, Tomoo, et al.. (2023). Inferring potential causative microbial factors of intestinal atrophic disease in the sea cucumber Apostichopus japonicus. Frontiers in Marine Science. 10. 4 indexed citations
6.
Tanaka, Mami, Sayaka Mino, Jesús L. Romalde, et al.. (2021). Vibrio Clade 3.0: New Vibrionaceae Evolutionary Units Using Genome-Based Approach. Current Microbiology. 79(1). 10–10. 38 indexed citations
7.
Walter, Juline M., Felipe H. Coutinho, Luciana Leomil, et al.. (2020). Ecogenomics of the Marine Benthic Filamentous Cyanobacterium Adonisia. Microbial Ecology. 80(2). 249–265. 3 indexed citations
9.
Tanaka, Mami, Nurhidayu Al‐saari, Feng Gao, et al.. (2017). Thaumasiovibrio occultus gen. nov. sp. nov. and Thaumasiovibrio subtropicus sp. nov. within the family Vibrionaceae, isolated from coral reef seawater off Ishigaki Island, Japan. Systematic and Applied Microbiology. 40(5). 290–296. 19 indexed citations
10.
Meirelles, Pedro Milet, Sayaka Mino, Wataru Suda, et al.. (2016). Individual Apostichopus japonicus fecal microbiome reveals a link with polyhydroxybutyrate producers in host growth gaps. Scientific Reports. 6(1). 21631–21631. 90 indexed citations
11.
López‐Pérez, Mario, Hayden K. Webb, Daniela Gómez, et al.. (2014). Marinobacter salarius sp. nov. and Marinobacter similis sp. nov., Isolated from Sea Water. PLoS ONE. 9(9). e106514–e106514. 53 indexed citations
12.
Mino, Sayaka, Hiroko Makita, Tomohiro Toki, et al.. (2013). Biogeography of Persephonella in deep-sea hydrothermal vents of the Western Pacific. Frontiers in Microbiology. 4. 107–107. 24 indexed citations
13.
Sawabe, Tomoo, et al.. (2012). A simple method to collect digestive fluid for monitoring digestive enzyme activities and gut microbes of the abalone Haliotis discus discus. NIPPON SUISAN GAKKAISHI. 78(5). 951–957. 1 indexed citations
14.
Sawabe, Tomoo. (2010). Biodiversity and evolution of vibrios. Nippon Saikingaku Zasshi. 65(3). 333–342. 4 indexed citations
16.
Sawabe, Tomoo, Youhei Fukui, & Eric V. Stabb. (2006). Simple conjugation and outgrowth procedures for tagging vibrios with GFP, and factors affecting the stable expression of thegfptag. Letters in Applied Microbiology. 43(5). 514–522. 24 indexed citations
17.
Kasai, Hisae, et al.. (2005). Effect of Manipulation of Dietary Rotifer Bacterial Flora on the Intestinal Bacterial Flora of Japanese Flounder. Aquaculture Science. 53(3). 275–278. 1 indexed citations
18.
Sawabe, Tomoo, et al.. (2000). An Evaluation of Viable Staining Dyes Suitable for Marine Phytoplankton. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 51(3). 153–157. 14 indexed citations
19.
Sawabe, Tomoo, Hirofumi Makino, M. Tatsumi, et al.. (1998). Pseudoalteromonas bacteriolytica sp. nov., a marine bacterium that is the causative agent of red spot disease of Laminaria japonica. International Journal of Systematic Bacteriology. 48(3). 769–774. 122 indexed citations
20.
Sawabe, Tomoo, Yoshio Ezura, & Takahisa Kimura. (1992). Purification and Characterization of an Alginate Lyase from Marine Alteromonassp... NIPPON SUISAN GAKKAISHI. 58(3). 521–527. 22 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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