Shun Maekawa

741 total citations
34 papers, 590 citations indexed

About

Shun Maekawa is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Shun Maekawa has authored 34 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 10 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Shun Maekawa's work include Aquaculture disease management and microbiota (13 papers), interferon and immune responses (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). Shun Maekawa is often cited by papers focused on Aquaculture disease management and microbiota (13 papers), interferon and immune responses (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). Shun Maekawa collaborates with scholars based in Japan, Taiwan and Vietnam. Shun Maekawa's co-authors include Shih‐Chu Chen, Pei‐Chi Wang, Takashi Aoki, Han‐Ching Wang, Takashi Kato, Po‐Chang Wang, T. Yoshida, Masahiro Sakai, Jun-ichi Hikima and Masato Kinoshita and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Shun Maekawa

33 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shun Maekawa Japan 16 344 173 99 94 72 34 590
Jason B. Williams United States 12 755 2.2× 262 1.5× 49 0.5× 61 0.6× 101 1.4× 14 998
Wenjiang Zheng China 8 314 0.9× 190 1.1× 58 0.6× 73 0.8× 60 0.8× 17 583
Karsten Skjoedt Denmark 13 392 1.1× 126 0.7× 61 0.6× 36 0.4× 92 1.3× 23 626
Astrid Skjesol Norway 12 394 1.1× 145 0.8× 54 0.5× 50 0.5× 35 0.5× 17 617
Guiwen Yang China 17 562 1.6× 461 2.7× 63 0.6× 175 1.9× 58 0.8× 52 1.1k
Sima Hadidi Canada 10 488 1.4× 152 0.9× 110 1.1× 69 0.7× 99 1.4× 14 670
Erica L. Benard Netherlands 9 404 1.2× 178 1.0× 29 0.3× 41 0.4× 26 0.4× 11 666
Samantha Russell Canada 12 349 1.0× 102 0.6× 70 0.7× 51 0.5× 32 0.4× 17 500
Eva‐Stina Edholm United States 18 814 2.4× 137 0.8× 49 0.5× 29 0.3× 30 0.4× 34 998
Anirudh J. Ullal United States 15 475 1.4× 350 2.0× 57 0.6× 85 0.9× 23 0.3× 20 802

Countries citing papers authored by Shun Maekawa

Since Specialization
Citations

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

Fields of papers citing papers by Shun Maekawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Maekawa

This figure shows the co-authorship network connecting the top 25 collaborators of Shun Maekawa. A scholar is included among the top collaborators of Shun Maekawa 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 Shun Maekawa. Shun Maekawa 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.
Maekawa, Shun, et al.. (2024). Enhanced effectiveness in preventing Nocardia seriolae infection utilizing heterologous prime-boost approach in orange-spotted grouper Epinephelus coioides. Fish & Shellfish Immunology. 150. 109663–109663. 2 indexed citations
2.
Maekawa, Shun, et al.. (2023). An Integrated in silico and in vivo study of nucleic acid vaccine against Nocardia seriolae infection in orange-spotted grouper Epinephelus coioides. Fish & Shellfish Immunology. 143. 109202–109202. 8 indexed citations
3.
4.
5.
Maekawa, Shun, Han‐Ching Wang, Takashi Aoki, et al.. (2020). ASC-deficiency impairs host defense against Aeromonas hydrophila infection in Japanese medaka, Oryzias latipes. Fish & Shellfish Immunology. 105. 427–437. 19 indexed citations
6.
Takahashi, Yoshie, Shun Maekawa, Han‐Ching Wang, et al.. (2020). Interleukin-17A/F1 from Japanese pufferfish (Takifugu rubripes) stimulates the immune response in head kidney and intestinal cells. Fish & Shellfish Immunology. 103. 143–149. 13 indexed citations
7.
Maekawa, Shun, Yi‐Ting Wang, Terutoyo Yoshida, Pei‐Chi Wang, & Shih‐Chu Chen. (2020). Group C Streptococcus dysgalactiae infection in fish. Journal of Fish Diseases. 43(9). 963–970. 8 indexed citations
8.
Maekawa, Shun, et al.. (2019). Comparative Study of Immune Reaction Against Bacterial Infection From Transcriptome Analysis. Frontiers in Immunology. 10. 153–153. 50 indexed citations
9.
Maekawa, Shun, et al.. (2018). Efficacy of recombinant protein vaccines for protection against Nocardia seriolae infection in the largemouth bass Micropterus salmoides. Fish & Shellfish Immunology. 78. 35–41. 33 indexed citations
10.
Maekawa, Shun, Omkar Byadgi, Takashi Aoki, et al.. (2017). Transcriptome analysis of immune response against Vibrio harveyi infection in orange-spotted grouper (Epinephelus coioides). Fish & Shellfish Immunology. 70. 628–637. 41 indexed citations
11.
Maekawa, Shun, et al.. (2016). Development of Erythroid Progenitors under Erythropoietin Stimulation inXenopus laevisLarval Liver. ZOOLOGICAL SCIENCE. 33(6). 575–582. 7 indexed citations
12.
Maekawa, Shun, Takashi Aoki, & Han‐Ching Wang. (2016). Constitutive overexpressed type I interferon induced downregulation of antiviral activity in medaka fish ( Oryzias latipes ). Developmental & Comparative Immunology. 68. 12–20. 7 indexed citations
13.
Maekawa, Shun, Jun-ichi Hikima, Masahiro Sakai, et al.. (2015). Expression and biological activity of two types of interferon genes in medaka (Oryzias latipes). Fish & Shellfish Immunology. 48. 20–29. 20 indexed citations
14.
Kinoshita, Masato, Shun Maekawa, Amod Kulkarni, et al.. (2015). TALENs-mediated gene disruption of myostatin produces a larger phenotype of medaka with an apparently compromised immune system. Fish & Shellfish Immunology. 48. 212–220. 40 indexed citations
15.
Kodama, M., Yoshinobu Uno, Yoichi Matsuda, et al.. (2015). Molecular Cloning and Characterization of Anti-Müllerian Hormone (AMH) from the Japanese Wrinkled Frog, Rana rugosa. Endocrinology. 156(5). 1914–1923. 15 indexed citations
16.
Yamamoto, Yusuke, et al.. (2013). Quantification and localization of erythropoietin-receptor-expressing cells in the liver of Xenopus laevis. Cell and Tissue Research. 353(1). 153–164. 11 indexed citations
17.
Yokota, Tomohiro, Shun Maekawa, Ping Lü, et al.. (2013). Transcription Profiles of Endothelial Cells in the Rat Ductus Arteriosus during a Perinatal Period. PLoS ONE. 8(9). e73685–e73685. 19 indexed citations
18.
Kobayashi, Shun, Hiroshi Ikeuchi, Shunji Yamada, et al.. (2012). Synthesis and bioassay of a boron-dipyrromethene derivative of estradiol for fluorescence imaging in vivo. Steroids. 77(8-9). 845–849. 17 indexed citations
19.
Maekawa, Shun, Ryutaro Seo, Hiroshi Yamashita, et al.. (2011). [Remifentanil prevents hyperglycemia and reduces insulin use during cardiopulmonary bypass in adult cardiac surgery].. PubMed. 60(4). 441–7. 3 indexed citations
20.
Kawata, Hiroaki, Hiroyuki Kishimoto, Shigemitsu Iwai, et al.. (2008). [Long term outcome of arterial switch surgery for transposition of the great arteries: evaluation of the reconstruction of the pulmonary artery].. PubMed. 61(4). 303–9. 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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2026