H. Tokeshi

59 total papers · 451 total citations
24 papers, 316 citations indexed

About

H. Tokeshi is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, H. Tokeshi has authored 24 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 9 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in H. Tokeshi's work include Plant Pathogens and Fungal Diseases (9 papers), Plant Disease Management Techniques (5 papers) and Banana Cultivation and Research (5 papers). H. Tokeshi is often cited by papers focused on Plant Pathogens and Fungal Diseases (9 papers), Plant Disease Management Techniques (5 papers) and Banana Cultivation and Research (5 papers). H. Tokeshi collaborates with scholars based in Brazil, Spain and Peru. H. Tokeshi's co-authors include P. J. Valarini, Marcelo M. Sena, R. T. S. Frighetto, Ronei J. Poppi, F. Guerrero, Lucas William Mendes, Siu Mui Tsai, N. L. de Souza, A. S. Dias and Rosa María Valdebenito-Sanhueza and has published in prestigious journals such as Soil and Tillage Research, Revista Brasileira de Ciência do Solo and Brazilian Journal of Microbiology.

In The Last Decade

H. Tokeshi

19 papers receiving 271 citations

Author Peers

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

Author Last Decade Papers Cites
H. Tokeshi 159 130 42 34 29 24 316
Shubhadip Dasgupta 148 0.9× 102 0.8× 42 1.0× 21 0.6× 17 0.6× 28 287
R. L. Meena 191 1.2× 91 0.7× 26 0.6× 33 1.0× 7 0.2× 36 346
Romero Francisco Vieira Carneiro 156 1.0× 191 1.5× 15 0.4× 37 1.1× 15 0.5× 25 324
Y. Chen 111 0.7× 154 1.2× 22 0.5× 37 1.1× 23 0.8× 23 335
Qisheng Han 166 1.0× 92 0.7× 17 0.4× 21 0.6× 11 0.4× 24 284
Inês Fumiko Ubukata Yada 244 1.5× 145 1.1× 25 0.6× 35 1.0× 41 1.4× 33 350
R. Calvo 96 0.6× 88 0.7× 13 0.3× 44 1.3× 38 1.3× 22 323
Gernot Verch 174 1.1× 86 0.7× 50 1.2× 48 1.4× 20 0.7× 20 340
Suleiman Kehinde Bello 199 1.3× 85 0.7× 10 0.2× 32 0.9× 44 1.5× 18 353
Munna Ram 139 0.9× 71 0.5× 16 0.4× 31 0.9× 41 1.4× 34 288

Countries citing papers authored by H. Tokeshi

Since Specialization
Citations

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

Fields of papers citing papers by H. Tokeshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Tokeshi

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