Takayuki Funakoshi

102 total papers · 1.3k total citations
73 papers, 1.2k citations indexed

About

Takayuki Funakoshi is a scholar working on Molecular Biology, Oncology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Takayuki Funakoshi has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Oncology and 17 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Takayuki Funakoshi's work include Heavy Metal Exposure and Toxicity (17 papers), Trace Elements in Health (15 papers) and Peptidase Inhibition and Analysis (9 papers). Takayuki Funakoshi is often cited by papers focused on Heavy Metal Exposure and Toxicity (17 papers), Trace Elements in Health (15 papers) and Peptidase Inhibition and Analysis (9 papers). Takayuki Funakoshi collaborates with scholars based in Japan, United States and Germany. Takayuki Funakoshi's co-authors include Kazuo Fujikawa, Brad A. McMullen, Shoji Kojima, Ronald L. Heimark, Hideaki Shimada, Jonathan F. Tait, Shozo Shoji, Carol H. Miao, Hiroshi Ueki and Hideaki Shimada and has published in prestigious journals such as Biochemistry, Biochemical and Biophysical Research Communications and Neuroscience.

In The Last Decade

Takayuki Funakoshi

70 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Takayuki Funakoshi 607 166 121 119 116 73 1.2k
Charareh Pourzand 658 1.1× 79 0.5× 114 0.9× 82 0.7× 33 0.3× 53 1.4k
Kelly Duncan 564 0.9× 144 0.9× 129 1.1× 399 3.4× 59 0.5× 44 1.2k
Michiyasu Awai 402 0.7× 284 1.7× 101 0.8× 81 0.7× 43 0.4× 67 1.2k
Shen Guo 542 0.9× 184 1.1× 70 0.6× 39 0.3× 52 0.4× 50 1.4k
Zhidong Wang 672 1.1× 94 0.6× 248 2.0× 45 0.4× 74 0.6× 76 1.4k
Michael S. Rose 538 0.9× 75 0.5× 141 1.2× 64 0.5× 72 0.6× 44 1.3k
Ewa Forma 917 1.5× 75 0.5× 210 1.7× 116 1.0× 34 0.3× 75 1.5k
Kazuhiro Iguchi 494 0.8× 60 0.4× 207 1.7× 126 1.1× 90 0.8× 110 1.2k
Julnar Usta 794 1.3× 105 0.6× 98 0.8× 56 0.5× 32 0.3× 43 1.4k
Jakub Gburek 473 0.8× 193 1.2× 57 0.5× 77 0.6× 51 0.4× 39 1.4k

Countries citing papers authored by Takayuki Funakoshi

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Funakoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Funakoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Funakoshi. A scholar is included among the top collaborators of Takayuki Funakoshi 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 Takayuki Funakoshi. Takayuki Funakoshi 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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