T. Maoka

864 citations
50 papers · 608 · h-index 16

Impact in

    • Plant and Fungal Interactions Research
    • Plant Virus Research Studies
    • Plant Disease Resistance and Genetics
    • Plant Pathogenic Bacteria Studies
    • Plant Pathogens and Resistance
    • Plant-Microbe Interactions and Immunity

Papers in

    • Plant Virus Research Studies 38
    • Plant Pathogenic Bacteria Studies 26
    • Plant Disease Resistance and Genetics 21
    • Plant-Microbe Interactions and Immunity 11
    • Nematode management and characterization studies 5
    • Plant and Fungal Interactions Research 10

T. Maoka

48 papers receiving 583 citations

Peers

T. Maoka
Comparison fields: 5 of 38
  • Endocrinology 145
  • Plant Science 574
  • Horticulture 14
  • Biotechnology 34
  • Insect Science 48
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T. Maoka relative to Nathaniel Westrick United States Nathaniel Westrick's profile →
Citations per field
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Nathaniel Westrick · 1×
Citations per year

Countries citing papers authored by T. Maoka

Since Specialization
Citations

This map shows the geographic impact of T. Maoka'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 T. Maoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Maoka more than expected).

Fields of papers citing papers by T. Maoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Maoka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Maoka Line = papers co-authored together T. Maoka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200971
2 200957
3 200739
4 201328
5 201027
6 199624
7 200724
8 202021
9 200821
10 201020
11 201419
12 200519
13 200818
14 199417
15 201915
16 199515
17 201615
18 202112
19 201812
20 200911

About T. Maoka

T. Maoka is a scholar working on Plant Science, Endocrinology, Cell Biology, Insect Science and Molecular Biology, having authored 50 papers that have together received 608 indexed citations. Recurring topics across this work include Plant Virus Research Studies (38 papers), Plant Pathogenic Bacteria Studies (26 papers), Plant Disease Resistance and Genetics (21 papers), Plant-Microbe Interactions and Immunity (11 papers), Plant and Fungal Interactions Research (10 papers), Plant Pathogens and Fungal Diseases (6 papers), Insect-Plant Interactions and Control (5 papers) and Nematode management and characterization studies (5 papers). The work is most often cited by research in Endocrinology (145 citations), Plant Science (574 citations), Horticulture (14 citations), Biotechnology (34 citations) and Insect Science (48 citations). T. Maoka has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Mohamad Chikh-Ali, Keiko T. Natsuaki, Tomohide Natsuaki, Takehiro Ohki, Tatsuji Hataya, Takato Nakayama, Tomio USUGI, Taketo Fujimoto, Takahide Sasaya and Chikara Masuta. Their work appears in journals such as Plant Disease, Phytopathology, Plant Pathology, Virology Journal and Potato Research.

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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