M. Shoda

954 total citations
42 papers, 729 citations indexed

About

M. Shoda is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, M. Shoda has authored 42 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 24 papers in Molecular Biology and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in M. Shoda's work include Pineapple and bromelain studies (13 papers), Plant Physiology and Cultivation Studies (12 papers) and Plant Reproductive Biology (9 papers). M. Shoda is often cited by papers focused on Pineapple and bromelain studies (13 papers), Plant Physiology and Cultivation Studies (12 papers) and Plant Reproductive Biology (9 papers). M. Shoda collaborates with scholars based in Japan, Switzerland and Kenya. M. Shoda's co-authors include N. Matsuta, Tetsuya Kimura, Takatsugu Yamamoto, K. Kotobuki, Tateki Hayashi, Toshiya Yamamoto, Y. Sawamura, Y. Ban, Takaaki Hayashi and Takanori Saito and has published in prestigious journals such as The Plant Journal, Theoretical and Applied Genetics and Journal of Food Science.

In The Last Decade

M. Shoda

37 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Shoda Japan	12	578	426	151	140	90	42	729
Yufen Cao China	14	464 0.8×	380 0.9×	112 0.7×	60 0.4×	88 1.0×	44	623
Ki‐Tae Kim South Korea	15	591 1.0×	323 0.8×	57 0.4×	298 2.1×	26 0.3×	39	791
R. J. Schnell United States	16	542 0.9×	224 0.5×	58 0.4×	97 0.7×	58 0.6×	37	795
Gail M. Timmerman‐Vaughan New Zealand	22	1.2k 2.0×	302 0.7×	91 0.6×	35 0.3×	151 1.7×	47	1.3k
Vania Michelotti Italy	15	424 0.7×	300 0.7×	52 0.3×	49 0.3×	28 0.3×	25	583
Silvia Travella Switzerland	11	1.0k 1.7×	481 1.1×	41 0.3×	85 0.6×	121 1.3×	15	1.1k
Zorica Nikolić Serbia	13	558 1.0×	180 0.4×	23 0.2×	87 0.6×	46 0.5×	98	660
Cláudia Pombo Sudré Brazil	20	983 1.7×	190 0.4×	62 0.4×	82 0.6×	109 1.2×	78	1.1k
Nongnong Shi China	16	619 1.1×	355 0.8×	105 0.7×	54 0.4×	74 0.8×	34	753
Alberto Vecchietti Italy	12	451 0.8×	264 0.6×	50 0.3×	73 0.5×	56 0.6×	13	572

Countries citing papers authored by M. Shoda

Since Specialization

Citations

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

Fields of papers citing papers by M. Shoda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Shoda

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

All Works

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20 of 20 papers shown

Shirasawa, Kenta, et al.. (2024). Genome-wide association study of pineapple breeding population. Scientia Horticulturae. 338. 113757–113757.

Takeuchi, Makoto, Kazuhiko Tarora, M. Shoda, et al.. (2024). Quantitative trait locus analysis of the F₁ breeding population of 180-1-08 × ‘Del Monte Gold’ pineapples. Acta Horticulturae. 123–128.

Yamada, Masahiko, et al.. (2024). Phenotypic Selection to Avoid Discarding Target Genotypes for Four Fruit Traits Based on Environmental Variances in a Pineapple Cross-seedling Population. HortScience. 59(5). 639–644. 2 indexed citations

Takeuchi, Makoto, M. Shoda, Naoya Urasaki, et al.. (2023). Identification of Quantitative Trait Loci of Fruit Quality and Color in Pineapples. The Horticulture Journal. 92(4). 375–383. 2 indexed citations

Sugiura, Toshihiko, et al.. (2023). Relationship between Acid and Soluble Solid Content of Pineapple and Temperature. The Horticulture Journal. 92(3). 227–235. 4 indexed citations

Sugiura, Toshihiko, et al.. (2023). Models for Predicting Pineapple Flowering and Harvest Dates. The Horticulture Journal. 93(1). 6–14. 1 indexed citations

Shirasawa, Kenta, Sachiko Isobe, Naoya Urasaki, et al.. (2022). Gene prediction for leaf margin phenotype and fruit flesh color in pineapple (Ananas comosus) using haplotype‐resolved genome sequencing. The Plant Journal. 110(3). 720–734. 9 indexed citations

Kotobuki, K., Yasuko Sato, K. Abe, et al.. (2015). New Japanese pear cultivar 'Nashi chuukanbohon nou 1 gou', with the homozygote of haplotype for self-compatibility (Pyrus pyrifolia Nakai).. 1–9. 1 indexed citations

Shoda, M., et al.. (2012). DNA profiling of pineapple cultivars in Japan discriminated by SSR markers. Breeding Science. 62(4). 352–359. 26 indexed citations

10.

Hirose, Naoto, et al.. (2011). Varietal Difference of Chilling Sensitivity for Fresh Pineapple (<i>Ananas comosus</i> (L.) Merr). food preservation science. 37(3). 109–114.

11.

Saito, Toshihiro, Yoshihiko Sato, Yutaka Sawamura, et al.. (2011). Dual recognition of S 1 and S 4 pistils by S 4 sm pollen in self-incompatibility of Japanese pear (Pyrus pyrifolia Nakai). Tree Genetics & Genomes. 8(4). 689–694. 19 indexed citations

12.

Kotobuki, K., Y. Sawamura, O. Terai, et al.. (2007). 'Porotan', a new chestnut cultivar. 6(1). 71. 1 indexed citations

13.

Shoda, M., et al.. (2007). Analysis of Volatile Flavor Compounds of Sardine ( Sardinops melanostica ) by Solid Phase Microextraction. Journal of Food Science. 73(1). S83–8. 73 indexed citations

14.

Terakami, Shingo, M. Shoda, Yukio Adachi, et al.. (2006). Genetic mapping of the pear scab resistance gene Vnk of Japanese pear cultivar Kinchaku. Theoretical and Applied Genetics. 113(4). 743–752. 59 indexed citations

15.

Shoda, M., et al.. (2004). (57) Pathogenicity of Physiological Races of Venturia nashicola, CausalAgent of Pear Scab to Japanese and Chinese White Pear Cultivars(Abstracts of the Papers Presented at the Annual Meeting of the Society, Fukuoka, March 28-30, 2004). 70(3). 205. 1 indexed citations

16.

Yamamoto, Takatsugu, Tetsuya Kimura, M. Shoda, et al.. (2002). Genetic linkage maps constructed by using an interspecific cross between Japanese and European pears. Theoretical and Applied Genetics. 106(1). 9–18. 148 indexed citations

17.

Sawamura, Y., Takanori Saito, M. Shoda, & K. Kotobuki. (2002). NEW JAPANESE PEAR CULTIVARS 'AKIAKARI', 'SHUUREI', 'AKIZUKI' AND 'OUSHUU'. Acta Horticulturae. 307–310. 2 indexed citations

18.

Kotobuki, K., Takanori Saito, Y. Kashimura, & M. Shoda. (1999). CHESTNUT BREEDING PROGRAM IN NATIONAL INSTITUTE OF FRUIT TREE SCIENCE, JAPAN. Acta Horticulturae. 323–326. 6 indexed citations

19.

Adaniya, Shinichi & M. Shoda. (1998). Meiotic irregularity of ginger (Zingiber officinale Roscoe). Chromosome science. 2(3). 141–144. 4 indexed citations

20.

Matsuoka, Makoto, et al.. (1996). Isolation of Protoplasts from Suspension Culture and Subsequent Shoot Regeneration in Sugarcane. Japan Agricultural Research Quarterly JARQ. 30(1). 21–26. 3 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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