Shinya Wada

2.6k total citations · 1 hit paper
61 papers, 1.8k citations indexed

About

Shinya Wada is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shinya Wada has authored 61 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 27 papers in Plant Science and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shinya Wada's work include Photosynthetic Processes and Mechanisms (25 papers), Plant Stress Responses and Tolerance (12 papers) and Photoreceptor and optogenetics research (9 papers). Shinya Wada is often cited by papers focused on Photosynthetic Processes and Mechanisms (25 papers), Plant Stress Responses and Tolerance (12 papers) and Photoreceptor and optogenetics research (9 papers). Shinya Wada collaborates with scholars based in Japan, France and United States. Shinya Wada's co-authors include Amane Makino, H. Ishida, Masanori Izumi, Chikahiro Miyake, Yuji Suzuki, Kōji Wada, Kohki Yoshimoto, Yoshinori Ohsumi, Tadahiko Mae and Toshiharu Shikanai and has published in prestigious journals such as PLANT PHYSIOLOGY, Physical Review B and International Journal of Molecular Sciences.

In The Last Decade

Shinya Wada

57 papers receiving 1.8k citations

Hit Papers

Autophagy Plays a Role in Chloroplast Degradation during ... 2008 2026 2014 2020 2008 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinya Wada Japan 22 1.1k 904 359 140 132 61 1.8k
Ursula Lütz‐Meindl Austria 27 804 0.7× 871 1.0× 57 0.2× 166 1.2× 498 3.8× 64 2.3k
Allison E. McDonald Canada 21 760 0.7× 1.1k 1.2× 49 0.1× 24 0.2× 103 0.8× 32 1.8k
Aurelio Serrano Spain 27 380 0.3× 1.2k 1.3× 69 0.2× 53 0.4× 221 1.7× 92 1.9k
Manfredo J. Seufferheld United States 22 341 0.3× 759 0.8× 80 0.2× 45 0.3× 116 0.9× 32 1.4k
Junpei Takano Japan 30 4.4k 3.8× 1.6k 1.8× 57 0.2× 39 0.3× 81 0.6× 57 5.1k
M. Dudley Page United Kingdom 27 387 0.3× 1.5k 1.6× 56 0.2× 31 0.2× 697 5.3× 40 2.3k
M. Luisa Peleato Spain 27 304 0.3× 1.2k 1.4× 40 0.1× 32 0.2× 342 2.6× 69 2.1k
María Esther Pérez‐Pérez Spain 26 793 0.7× 1.6k 1.8× 518 1.4× 11 0.1× 624 4.7× 37 2.5k
Crysten E. Blaby‐Haas United States 27 404 0.4× 1.0k 1.2× 40 0.1× 31 0.2× 487 3.7× 56 1.8k

Countries citing papers authored by Shinya Wada

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Wada. A scholar is included among the top collaborators of Shinya Wada 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 Shinya Wada. Shinya Wada 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.
Sakamoto, Yasuhisa, Shinya Wada, Masahiro Wakao, et al.. (2025). Peptide Modulation Overrides Glycan Synergy in Gold Nanoparticle‐Based Vaccines for Cancer Immunotherapy. Cancer Medicine. 14(19). e71286–e71286.
2.
Nakamura, Yuta, Shinya Wada, Chikahiro Miyake, Amane Makino, & Yuji Suzuki. (2024). Regulation of photosystems II and I depending on N partitioning to Rubisco in rice leaves: a study using Rubisco-antisense transgenic plants. Journal of Plant Research. 137(6). 1165–1175. 2 indexed citations
3.
Wada, Shinya, et al.. (2024). Enhanced Reduction of Ferredoxin in PGR5-Deficient Mutant of Arabidopsis thaliana Stimulated Ferredoxin-Dependent Cyclic Electron Flow around Photosystem I. International Journal of Molecular Sciences. 25(5). 2677–2677. 3 indexed citations
5.
Takahashi, Yuki, Ko Noguchi, Kentaro Ifuku, et al.. (2023). Effects of drought stress on the oxidation of the reaction center chlorophyll of photosystem I and grain yield in paddy-field grown rice plants. Soil Science & Plant Nutrition. 69(4). 215–220. 1 indexed citations
6.
Suganami, Mao, Daisuke Takagi, Youshi Tazoe, et al.. (2022). Expression of flavodiiron protein rescues defects in electron transport around PSI resulting from overproduction of Rubisco activase in rice. Journal of Experimental Botany. 73(8). 2589–2600. 9 indexed citations
8.
Wada, Shinya, et al.. (2022). Higher Reduced State of Fe/S-Signals, with the Suppressed Oxidation of P700, Causes PSI Inactivation in Arabidopsis thaliana. Antioxidants. 12(1). 21–21. 11 indexed citations
9.
Suzuki, Takeshi, et al.. (2021). Photosynthetic Parameters Show Specific Responses to Essential Mineral Deficiencies. Antioxidants. 10(7). 996–996. 24 indexed citations
10.
Suzuki, Yuji, Keiki Ishiyama, Eri Kondo, et al.. (2021). Suppression of chloroplast triose phosphate isomerase evokes inorganic phosphate-limited photosynthesis in rice. PLANT PHYSIOLOGY. 188(3). 1550–1562. 17 indexed citations
11.
12.
Suzuki, Yuji, et al.. (2021). Effects of co-overproduction of Rubisco and chloroplast glyceraldehyde-3-phosphate dehydrogenase on photosynthesis in rice. Soil Science & Plant Nutrition. 67(3). 283–287. 9 indexed citations
13.
Makino, Amane, et al.. (2020). Intrinsic Fluctuations in Transpiration Induce Photorespiration to Oxidize P700 in Photosystem I. Plants. 9(12). 1761–1761. 15 indexed citations
15.
Wada, Shinya, Yuji Suzuki, Daisuke Takagi, Chikahiro Miyake, & Amane Makino. (2018). Effects of genetic manipulation of the activity of photorespiration on the redox state of photosystem I and its robustness against excess light stress under CO2-limited conditions in rice. Photosynthesis Research. 137(3). 431–441. 24 indexed citations
16.
Wada, Shinya, Hiroshi Yamamoto, Yuji Suzuki, et al.. (2017). Flavodiiron Protein Substitutes for Cyclic Electron Flow without Competing CO2 Assimilation in Rice. PLANT PHYSIOLOGY. 176(2). 1509–1518. 85 indexed citations
17.
Wada, Shinya, Masanori Izumi, Takamitsu Kurusu, et al.. (2015). Autophagy Supports Biomass Production and Nitrogen Use Efficiency at the Vegetative Stage in Rice. PLANT PHYSIOLOGY. 168(1). 60–73. 115 indexed citations
18.
Izumi, Masanori, Jun Hidema, Shinya Wada, et al.. (2015). Establishment of Monitoring Methods for Autophagy in Rice Reveals Autophagic Recycling of Chloroplasts and Root Plastids during Energy Limitation. PLANT PHYSIOLOGY. 167(4). 1307–1320. 83 indexed citations
19.
Wada, Shinya, et al.. (2013). NON-HOST RESISTANCE ACTIVITIES OF Arabidopsis thaliana INDUCED BY METHANOL EXTRACT OF MYCELIA FROM Phytophthora infestans. International Journal of Biosciences. 1(2). 2 indexed citations
20.
Sakamoto, Wataru, et al.. (1990). EXPERIENCE WITH EXTRACORPOREAL SHOCK WAVE LITHOTRIPSY FOR URINARY STONE. The Japanese Journal of Urology. 81(4). 589–592.

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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