Maya Matsunami

405 citations
38 papers · 298 · h-index 11

Impact in

    • Rice Cultivation and Yield Improvement
    • Plant nutrient uptake and metabolism
    • Plant responses to water stress
    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • GABA and Rice Research

Papers in

Maya Matsunami

32 papers receiving 295 citations

Peers

Maya Matsunami
Comparison fields: 5 of 38
  • Plant Science 243
  • Soil Science 30
  • Agronomy and Crop Science 29
  • Nutrition and Dietetics 20
  • Ecology, Evolution, Behavior and Systematics 25
Replace Edward Marques with:
Edward Marques United States
Anoma Dongsansuk Thailand
István Monostori Hungary
Dianfeng Zheng China
Abiel Rindisbacher Switzerland
Amrit Lamichaney India
Saba Aleem Pakistan
Ratnakumar Pasala India
Fruzsina Szira Hungary
Donn Beighley United States
Maya Matsunami relative to Edward Marques United States Edward Marques's profile →
Citations per field
00.5×4.8×
Edward Marques · 1×
Citations per year

Countries citing papers authored by Maya Matsunami

Since Specialization
Citations

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

Fields of papers citing papers by Maya Matsunami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maya Matsunami, 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 Maya Matsunami Line = papers co-authored together Maya Matsunami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201858
2 200946
3 202316
4 202016
5 201216
6 202115
7 201114
8 201313
9 202113
10 201011
11 201511
12 20239
13 20169
14 20216
15 20206
16 20226
17 20186
18 20244
19 20234
20 20242

About Maya Matsunami

Maya Matsunami is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Global and Planetary Change and Soil Science, having authored 38 papers that have together received 298 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (21 papers), Plant responses to water stress (14 papers), Plant nutrient uptake and metabolism (11 papers), Agriculture, Soil, Plant Science (8 papers), Plant Stress Responses and Tolerance (7 papers), GABA and Rice Research (6 papers), Crop Yield and Soil Fertility (2 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Plant Science (243 citations), Soil Science (30 citations), Agronomy and Crop Science (29 citations), Nutrition and Dietetics (20 citations) and Ecology, Evolution, Behavior and Systematics (25 citations). Maya Matsunami has collaborated with scholars based in Japan, Ethiopia and Sierra Leone. Frequent co-authors include Toshinori Matsunami, Makie Kokubun, Atsushi Ogawa, Hiroyuki Shimono, Ikuko Kodama, Shunsaku Nishiuchi, Takaki Yamauchi, Mari Murai‐Hatano, Yoshiaki Inukai and Hidehiro Hayashi. Their work appears in journals such as Plant Production Science, Field Crops Research, Plant and Soil, Journal of soil science and plant nutrition and Journal of Agronomy and Crop Science.

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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