Mai Kobayashi

58 total papers · 799 total citations
27 papers, 373 citations indexed

About

Mai Kobayashi is a scholar working on Plant Science, General Agricultural and Biological Sciences and Applied Psychology. According to data from OpenAlex, Mai Kobayashi has authored 27 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in General Agricultural and Biological Sciences and 5 papers in Applied Psychology. Recurrent topics in Mai Kobayashi's work include Organic Food and Agriculture (5 papers), Agriculture, Land Use, Rural Development (5 papers) and Behavioral Health and Interventions (4 papers). Mai Kobayashi is often cited by papers focused on Organic Food and Agriculture (5 papers), Agriculture, Land Use, Rural Development (5 papers) and Behavioral Health and Interventions (4 papers). Mai Kobayashi collaborates with scholars based in Japan, Netherlands and Germany. Mai Kobayashi's co-authors include Shinya Kurata, Steven R. McGreevy, Takayuki Goto, Yuka Ozaki, Christoph Rupprecht, Kazuhiko Ota, Joost Vervoort, Norie Tamura, Astrid Mangnus and Eiichi Takahashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Plant and Soil and Ecology and Society.

In The Last Decade

Mai Kobayashi

26 papers receiving 360 citations

Author Peers

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

Author						Papers	Cites
Mai Kobayashi	89	74	46	45	44	27	373
Mickie E. Swisher	70 0.8×	76 1.0×	31 0.7×	54 1.2×	56 1.3×	8	339
M. Larcher	92 1.0×	109 1.5×	40 0.9×	31 0.7×	53 1.2×	27	346
Tingwu Yan	73 0.8×	102 1.4×	44 1.0×	50 1.1×	47 1.1×	24	429
Geoff Kaine	66 0.7×	100 1.4×	54 1.2×	57 1.3×	36 0.8×	46	405
Philippe Le Coënt	99 1.1×	110 1.5×	29 0.6×	125 2.8×	21 0.5×	20	434
Wiltrud Terlau	62 0.7×	29 0.4×	39 0.8×	58 1.3×	40 0.9×	33	391
Xiaoqing Li	37 0.4×	37 0.5×	27 0.6×	46 1.0×	57 1.3×	13	367
Ivo Baur	119 1.3×	59 0.8×	61 1.3×	58 1.3×	32 0.7×	20	425
Bernard Lehmann	86 1.0×	103 1.4×	26 0.6×	48 1.1×	79 1.8×	43	410
Xianhui Geng	62 0.7×	110 1.5×	14 0.3×	26 0.6×	40 0.9×	31	427

Countries citing papers authored by Mai Kobayashi

Since Specialization

Citations

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

Fields of papers citing papers by Mai Kobayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Kobayashi

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