Go Furusawa

47 total papers · 613 total citations
40 papers, 419 citations indexed

About

Go Furusawa is a scholar working on Molecular Biology, Ecology and Biotechnology. According to data from OpenAlex, Go Furusawa has authored 40 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 20 papers in Ecology and 13 papers in Biotechnology. Recurrent topics in Go Furusawa's work include Microbial Community Ecology and Physiology (18 papers), Genomics and Phylogenetic Studies (14 papers) and Enzyme Production and Characterization (12 papers). Go Furusawa is often cited by papers focused on Microbial Community Ecology and Physiology (18 papers), Genomics and Phylogenetic Studies (14 papers) and Enzyme Production and Characterization (12 papers). Go Furusawa collaborates with scholars based in Malaysia, Japan and United States. Go Furusawa's co-authors include Amirul Al‐Ashraf Abdullah, Nyok‐Sean Lau, Taizo Sakata, Takeshi Yoshikawa, Aik-Hong Teh, Patricia L. Hartzell, G. Veera Singham, Alexander Chong Shu‐Chien, Foong Swee Yeok and Visweswaran Navaratnam and has published in prestigious journals such as Science, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Go Furusawa

37 papers receiving 414 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Go Furusawa	187	183	94	66	62	40	419
Rakhee Khandeparker	118 0.6×	228 1.2×	171 1.8×	51 0.8×	44 0.7×	33	471
Zhong Xu	134 0.7×	229 1.3×	107 1.1×	59 0.9×	44 0.7×	40	428
I. A. Beleneva	173 0.9×	133 0.7×	56 0.6×	78 1.2×	26 0.4×	46	457
Jian Yang	225 1.2×	185 1.0×	105 1.1×	91 1.4×	51 0.8×	29	482
Guangyu Wang	146 0.8×	119 0.7×	56 0.6×	48 0.7×	22 0.4×	44	449
Shixiang Bao	156 0.8×	184 1.0×	112 1.2×	57 0.9×	119 1.9×	46	465
Toshiyuki Takagi	173 0.9×	134 0.7×	90 1.0×	77 1.2×	24 0.4×	26	398
Louisi Souza de Oliveira	135 0.7×	110 0.6×	43 0.5×	97 1.5×	23 0.4×	22	376
Ge‐Yi Fu	209 1.1×	280 1.5×	68 0.7×	31 0.5×	49 0.8×	35	404
Makio Asakawa	34 0.2×	138 0.8×	40 0.4×	65 1.0×	46 0.7×	36	384

Countries citing papers authored by Go Furusawa

Since Specialization

Citations

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

Fields of papers citing papers by Go Furusawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Furusawa

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

All Works

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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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