Akio Morita

2.3k total citations
63 papers, 1.8k citations indexed

About

Akio Morita is a scholar working on Plant Science, Pathology and Forensic Medicine and Analytical Chemistry. According to data from OpenAlex, Akio Morita has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 16 papers in Pathology and Forensic Medicine and 10 papers in Analytical Chemistry. Recurrent topics in Akio Morita's work include Tea Polyphenols and Effects (16 papers), Aluminum toxicity and tolerance in plants and animals (12 papers) and Plant Stress Responses and Tolerance (9 papers). Akio Morita is often cited by papers focused on Tea Polyphenols and Effects (16 papers), Aluminum toxicity and tolerance in plants and animals (12 papers) and Plant Stress Responses and Tolerance (9 papers). Akio Morita collaborates with scholars based in Japan, Iran and India. Akio Morita's co-authors include Hiromi Yokota, Faezeh Ghanati, Takashi Ikka, Hiroto Yamashita, Yoriyuki Nakamura, Rei Sonobe, Keiko Unno, Kazuaki Iguchi, Naoharu Watanabe and Hiroshi Yamada and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and The Journal of Physical Chemistry.

In The Last Decade

Akio Morita

62 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Akio Morita Japan 25 989 284 256 172 152 63 1.8k
Xujun Zhu China 28 1.2k 1.2× 326 1.1× 714 2.8× 110 0.6× 157 1.0× 78 2.0k
Misako Kato Japan 22 730 0.7× 248 0.9× 835 3.3× 39 0.2× 150 1.0× 41 1.8k
Yuanchun Ma China 25 904 0.9× 180 0.6× 577 2.3× 58 0.3× 105 0.7× 81 1.5k
Berin A. Boughton Australia 29 790 0.8× 39 0.1× 1.3k 5.0× 76 0.4× 147 1.0× 74 2.6k
Laura Cornara Italy 30 1.4k 1.4× 68 0.2× 851 3.3× 98 0.6× 832 5.5× 125 3.5k
Ping Liu China 23 327 0.3× 74 0.3× 563 2.2× 131 0.8× 549 3.6× 101 1.6k
Guy Samson Canada 23 820 0.8× 177 0.6× 841 3.3× 112 0.7× 377 2.5× 49 1.8k
Weixi Li China 23 406 0.4× 83 0.3× 362 1.4× 24 0.1× 82 0.5× 74 1.3k
Ana S. P. Moreira Portugal 27 210 0.2× 176 0.6× 474 1.9× 49 0.3× 252 1.7× 65 1.7k
José Luíz Martins do Nascimento Brazil 33 421 0.4× 56 0.2× 620 2.4× 51 0.3× 145 1.0× 139 3.3k

Countries citing papers authored by Akio Morita

Since Specialization
Citations

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

Fields of papers citing papers by Akio Morita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Morita

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Morita. A scholar is included among the top collaborators of Akio Morita 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 Akio Morita. Akio Morita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yamashita, Hiroto, et al.. (2023). Nutritional characterization on growth and ionome profiles in Japanese wasabi cultivars ( Eutrema japonicum ) under hydroponics. Soil Science & Plant Nutrition. 70(1). 41–52. 1 indexed citations
2.
Sonobe, Rei, et al.. (2022). Evaluation of a One-Dimensional Convolution Neural Network for Chlorophyll Content Estimation Using a Compact Spectrometer. Remote Sensing. 14(9). 1997–1997. 11 indexed citations
3.
Yamashita, Hiroto, et al.. (2021). Cesium uptake and translocation from tea cutting roots (Camellia sinensis L.). Journal of Environmental Radioactivity. 235-236. 106655–106655. 2 indexed citations
4.
Yamashita, Hiroto, Rei Sonobe, Yuhei Hirono, Akio Morita, & Takashi Ikka. (2021). Potential of spectroscopic analyses for non-destructive estimation of tea quality-related metabolites in fresh new leaves. Scientific Reports. 11(1). 4169–4169. 7 indexed citations
5.
Yamashita, Hiroto, et al.. (2020). Phenotypic Markers Reflecting the Status of Overstressed Tea Plants Subjected to Repeated Shade Cultivation. Frontiers in Plant Science. 11. 556476–556476. 16 indexed citations
6.
7.
Unno, Keiko, Daisuke Furushima, Kazuaki Iguchi, et al.. (2018). Stress-Reducing Function of Matcha Green Tea in Animal Experiments and Clinical Trials. Nutrients. 10(10). 1468–1468. 59 indexed citations
8.
Unno, Keiko, Hiroshi Yamada, Kazuaki Iguchi, et al.. (2017). Anti-stress Effect of Green Tea with Lowered Caffeine on Humans: A Pilot Study. Biological and Pharmaceutical Bulletin. 40(6). 902–909. 15 indexed citations
9.
Choi, Jae‐Hoon, Tatsuo Asai, Yoshikazu Kiriiwa, et al.. (2014). 2-Azahypoxanthine and imidazole-4-carboxamide produced by the fairy-ring-forming fungus increase wheat yield. Field Crops Research. 162. 6–11. 41 indexed citations
10.
11.
Suzuki, Toshikazu, et al.. (2012). Effects of Low Intensity Light Quality on Photosynthesis and Nitrogen Assimilation of Young Tea Plants. Shokubutsu Kankyo Kogaku. 24(1). 16–24. 3 indexed citations
12.
Suzuki, Tomohiro, Jae‐Hoon Choi, Takumi Kawaguchi, et al.. (2012). Makomotindoline from Makomotake, Zizania latifolia infected with Ustilago esculenta. Bioorganic & Medicinal Chemistry Letters. 22(13). 4246–4248. 21 indexed citations
13.
Asai, Tatsuo, et al.. (2007). Comparison of the free amino acid content and certain other agronomical traits of germinated and non-germinated brown rice in monocultured and mixed plantings.. SABRAO Journal of Breeding and Genetics. 39(2). 107–115. 1 indexed citations
14.
Morita, Akio, et al.. (2007). Mechanism for the detoxification of aluminum in roots of tea plant (Camellia sinensis (L.) Kuntze). Phytochemistry. 69(1). 147–153. 87 indexed citations
15.
Nakamura, Yoriyuki & Akio Morita. (2006). Effects of Pruning of Tea Cuttings in Paper Pots on the Number of Branches and Plant Growth Before and After Transplanting. Japanese Journal of Crop Science. 75(3). 289–295. 2 indexed citations
16.
Morita, Akio, et al.. (2004). Chronological Improvement of the Contents of Chemical Constituents of Leaves in the Registered Green Tea Varieties in Japan. Breeding Research. 6(1). 1–9. 3 indexed citations
17.
Morita, Akio, et al.. (2004). Effect of ammonium application on the oxalate content of tea plants (Camellia sinensisL.). Soil Science & Plant Nutrition. 50(5). 763–769. 10 indexed citations
18.
Ghanati, Faezeh, Akio Morita, & Hiromi Yokota. (2002). Induction of suberin and increase of lignin content by excess boron in tobacco cells. Soil Science & Plant Nutrition. 48(3). 357–364. 163 indexed citations
19.
Yoneyama, Tadakatsu, et al.. (2001). δ13C values of organic carbon in cropland and forest soils in Japan. Soil Science & Plant Nutrition. 47(1). 17–26. 38 indexed citations
20.
Morita, Akio, M. Ohta, & Tadakatsu Yoneyama. (1998). Uptake, transport and assimilation of 15 N-nitrate and 15 N-ammonium in tea ( Camellia sinensis L.) plants. Soil Science & Plant Nutrition. 44(4). 647–654. 23 indexed citations

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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