Ryota Maeda

1.1k total citations
18 papers, 556 citations indexed

About

Ryota Maeda is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Ryota Maeda has authored 18 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Ryota Maeda's work include Genetic Syndromes and Imprinting (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Liver Disease and Transplantation (3 papers). Ryota Maeda is often cited by papers focused on Genetic Syndromes and Imprinting (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Liver Disease and Transplantation (3 papers). Ryota Maeda collaborates with scholars based in Japan, United States and Spain. Ryota Maeda's co-authors include Eisuke Nishida, Takuya Yamamoto, Takuji Tanoue, Andrzej S. Tarnawski, I. James Sarfeh, Akihiro Imura, G. Robert Mason, Yo-ichi Nabeshima, Katsumori Segawa and Shigekazu Nagata and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ryota Maeda

18 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryota Maeda Japan	10	329	90	86	68	66	18	556
M Kitamura Japan	9	176 0.5×	31 0.3×	48 0.6×	56 0.8×	31 0.5×	24	372
Junliang Pu China	11	243 0.7×	91 1.0×	89 1.0×	68 1.0×	13 0.2×	22	447
Siyuan Yan China	15	366 1.1×	135 1.5×	68 0.8×	9 0.1×	24 0.4×	33	606
Yufan Zheng China	13	312 0.9×	80 0.9×	57 0.7×	29 0.4×	20 0.3×	24	518
Michio Maemura Japan	17	205 0.6×	25 0.3×	58 0.7×	27 0.4×	114 1.7×	72	662
Georg Tschank Germany	13	349 1.1×	46 0.5×	33 0.4×	36 0.5×	57 0.9×	19	589
Baojia Zou China	14	361 1.1×	76 0.8×	56 0.7×	62 0.9×	10 0.2×	28	575
Linlin Sun China	14	211 0.6×	100 1.1×	63 0.7×	66 1.0×	19 0.3×	25	459
Junfei Jin China	12	318 1.0×	75 0.8×	82 1.0×	18 0.3×	15 0.2×	21	461

Countries citing papers authored by Ryota Maeda

Since Specialization

Citations

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

Fields of papers citing papers by Ryota Maeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryota Maeda

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

All Works

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18 of 18 papers shown

Araki, Kazutaka & Ryota Maeda. (2024). A Brief Chronicle of Antibody Research and Technological Advances. Antibodies. 13(4). 90–90. 1 indexed citations

Kuroda, Kyohei, Ryota Maeda, Kengo Kubota, et al.. (2024). Microbiological insights into anaerobic phenol degradation mechanisms and bulking phenomenon in a mesophilic upflow anaerobic sludge blanket reactor in long-term operation. Water Research. 253. 121271–121271. 4 indexed citations

Maeda, Ryota, et al.. (2023). Green tuff supplementation improves plant growth and microbial interactions of soil aggregates and rhizosphere in cherry tomato (Solanum lycopersicum L. var. cerasiforme) cultivation. Rhizosphere. 28. 100801–100801. 4 indexed citations

Matsuda, Satoru, Ryota Maeda, Koji Murakami, et al.. (2022). Investigating the Therapeutic Potential of LSD1 Enzyme Activity-Specific Inhibition by TAK-418 for Social and Memory Deficits in Rodent Disease Models. ACS Chemical Neuroscience. 13(3). 313–321. 9 indexed citations

Nagata, Kayoko, Daichi Utsumi, Ryota Maeda, et al.. (2022). Intratracheal trimerized nanobody cocktail administration suppresses weight loss and prolongs survival of SARS-CoV-2 infected mice. SHILAP Revista de lepidopterología. 2(1). 152–152. 5 indexed citations

Anzai, Itsuki, Ryota Maeda, Tokiko Watanabe, et al.. (2022). Structural insights into the rational design of a nanobody that binds with high affinity to the SARS-CoV-2 spike variant. The Journal of Biochemistry. 173(2). 115–127. 1 indexed citations

Kuroda, Kyohei, Takashi Narihiro, Taro Noguchi, et al.. (2022). Elucidation of the biodegradation pathways of bis(2-hydroxyethyl) terephthalate and dimethyl terephthalate under anaerobic conditions revealed by enrichment culture and microbiome analysis. Chemical Engineering Journal. 450. 137916–137916. 11 indexed citations

Rivas, Matilde de las, Yoshiki Narimatsu, Ismael Compañón, et al.. (2020). Molecular basis for fibroblast growth factor 23 O-glycosylation by GalNAc-T3. Nature Chemical Biology. 16(3). 351–360. 59 indexed citations

Itoh, Katsuhiko, Gen Kondoh, Hitoshi Miyachi, et al.. (2019). Dephosphorylation of protamine 2 at serine 56 is crucial for murine sperm maturation in vivo. Science Signaling. 12(574). 15 indexed citations

10.

Yanagihashi, Yuichi, Katsumori Segawa, Ryota Maeda, Yo-ichi Nabeshima, & Shigekazu Nagata. (2017). Mouse macrophages show different requirements for phosphatidylserine receptor Tim4 in efferocytosis. Proceedings of the National Academy of Sciences. 114(33). 8800–8805. 57 indexed citations

11.

Hayama, Tatsuya, et al.. (2015). Single administration of a novel γ-secretase modulator ameliorates cognitive dysfunction in aged C57BL/6J mice. Brain Research. 1633. 52–61. 2 indexed citations

12.

Maeda, Ryota, Akihiro Imura, & Yo‐ichi Nabeshima. (2013). Complex Regulation and Diverse Functions of Alpha-Klotho. Contributions to nephrology. 180. 25–46. 5 indexed citations

13.

Tomiyama, Kenichi, Ryota Maeda, Itaru Urakawa, et al.. (2010). Relevant use of Klotho in FGF19 subfamily signaling system in vivo. Proceedings of the National Academy of Sciences. 107(4). 1666–1671. 124 indexed citations

14.

Maeda, Ryota, et al.. (2009). p97/valosin‐containing protein (VCP) is highly modulated by phosphorylation and acetylation. Genes to Cells. 14(4). 483–497. 42 indexed citations

15.

Tanoue, Takuji, Takuya Yamamoto, Ryota Maeda, & Eisuke Nishida. (2001). A Novel MAPK Phosphatase MKP-7 Acts Preferentially on JNK/SAPK and p38α and β MAPKs. Journal of Biological Chemistry. 276(28). 26629–26639. 136 indexed citations

16.

Sankary, Howard, I. James Sarfeh, Andrzej S. Tarnawski, et al.. (1986). Propranolol reduces ethanol-induced gastric mucosal damage in portal hypertensive rats. Digestive Diseases and Sciences. 31(2). 162–165. 25 indexed citations

17.

Sarfeh, I. James, et al.. (1984). The gastric mucosa in portal hypertension: effects of topical bile acid.. PubMed. 92. 189–94. 50 indexed citations

18.

Maeda, Ryota, et al.. (1984). Bile acid-induced gastric mucosal injury: Significance of portal hypertension and mucosal capillary permeability. Journal of Surgical Research. 36(4). 312–314. 6 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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