Shi‐Hong Gu

1.6k total citations
70 papers, 1.2k citations indexed

About

Shi‐Hong Gu is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Immunology. According to data from OpenAlex, Shi‐Hong Gu has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cellular and Molecular Neuroscience, 39 papers in Insect Science and 21 papers in Immunology. Recurrent topics in Shi‐Hong Gu's work include Neurobiology and Insect Physiology Research (63 papers), Insect Utilization and Effects (33 papers) and Invertebrate Immune Response Mechanisms (21 papers). Shi‐Hong Gu is often cited by papers focused on Neurobiology and Insect Physiology Research (63 papers), Insect Utilization and Effects (33 papers) and Invertebrate Immune Response Mechanisms (21 papers). Shi‐Hong Gu collaborates with scholars based in Taiwan, China and Japan. Shi‐Hong Gu's co-authors include Yien‐Shing Chow, Pei‐Ling Lin, Shun‐Chieh Young, Chien‐Hung Chen, Chien‐Hung Chen, Chih‐Ming Yin, Hsiao‐Yen Hsieh, Sheng Li, Wei‐Lan Yeh and David R. O’Reilly and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Shi‐Hong Gu

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi‐Hong Gu Taiwan 22 1.0k 676 317 304 269 70 1.2k
Sho Sakurai Japan 22 880 0.9× 683 1.0× 426 1.3× 465 1.5× 243 0.9× 63 1.4k
Makoto Kiuchi Japan 23 1.0k 1.0× 850 1.3× 505 1.6× 598 2.0× 361 1.3× 69 1.7k
Kunihiro Shiomi Japan 18 491 0.5× 265 0.4× 173 0.5× 304 1.0× 178 0.7× 36 844
Takumi Kayukawa Japan 20 874 0.9× 685 1.0× 599 1.9× 573 1.9× 124 0.5× 33 1.5k
Xiaofeng Zhou United States 8 716 0.7× 428 0.6× 404 1.3× 421 1.4× 155 0.6× 9 1.1k
Rong‐Jing Jiang China 13 490 0.5× 316 0.5× 223 0.7× 320 1.1× 146 0.5× 19 755
Kyo Itoyama Japan 10 859 0.8× 696 1.0× 487 1.5× 598 2.0× 143 0.5× 33 1.4k
Keiko Takaki Japan 12 509 0.5× 317 0.5× 339 1.1× 247 0.8× 77 0.3× 23 901
Edward B. Dubrovsky United States 17 591 0.6× 381 0.6× 377 1.2× 698 2.3× 133 0.5× 27 1.3k
A. Krishna Kumaran United States 17 601 0.6× 600 0.9× 361 1.1× 392 1.3× 195 0.7× 29 1.1k

Countries citing papers authored by Shi‐Hong Gu

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Hong Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi‐Hong Gu. 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 Shi‐Hong Gu. The network helps show where Shi‐Hong Gu may publish in the future.

Co-authorship network of co-authors of Shi‐Hong Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Hong Gu. A scholar is included among the top collaborators of Shi‐Hong Gu 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 Shi‐Hong Gu. Shi‐Hong Gu 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.
Suzuki, Takumi & Shi‐Hong Gu. (2025). Systemic positive feedback regulation of ecdysone biosynthesis via sugar metabolism in insects. Developmental Biology. 525. 122–129.
2.
Yang, Yang, et al.. (2025). Screening and Interaction Analysis of Shark-Derived Nanobodies against Crayfish Major Allergen Pro c 2. Journal of Agricultural and Food Chemistry. 73(17). 10589–10602.
3.
Gu, Shi‐Hong, et al.. (2022). Bombyxin-stimulated ecdysteroidogenesis in relation to sugar transporter/trehalase expressions in Bombyx prothoracic glands. Insect Biochemistry and Molecular Biology. 151. 103864–103864. 8 indexed citations
4.
Gu, Shi‐Hong, et al.. (2022). Expression of tyrosine phosphatases in relation to PTTH-stimulated ecdysteroidogenesis in prothoracic glands of the silkworm, Bombyx mori. General and Comparative Endocrinology. 331. 114165–114165. 2 indexed citations
5.
Miki, Takeshi, et al.. (2019). Nuclear and mitochondrial ribosomal ratio as an index of animal growth rate. Limnology and Oceanography Methods. 17(11). 575–584. 2 indexed citations
6.
Hsieh, Hsiao‐Yen & Shi‐Hong Gu. (2018). Expression of calcineurin in relation to the embryonic diapause process in the silkworm, Bombyx mori. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 228. 35–42. 10 indexed citations
7.
Gu, Shi‐Hong, Hsiao‐Yen Hsieh, & Pei‐Ling Lin. (2017). Regulation of protein phosphatase 2A during embryonic diapause process in the silkworm, Bombyx mori. Journal of Insect Physiology. 103. 117–124. 13 indexed citations
8.
Gu, Shi‐Hong, et al.. (2016). Stimulation of orphan nuclear receptor HR38 gene expression by PTTH in prothoracic glands of the silkworm, Bombyx mori. Journal of Insect Physiology. 90. 8–16. 7 indexed citations
9.
Gu, Shi‐Hong, et al.. (2014). Modulatory effects of bombyxin on ecdysteroidogenesis in Bombyx mori prothoracic glands. Journal of Insect Physiology. 72. 61–69. 25 indexed citations
10.
Lin, Pei‐Ling, et al.. (2014). Signaling of reactive oxygen species in PTTH-stimulated ecdysteroidogenesis in prothoracic glands of the silkworm, Bombyx mori. Journal of Insect Physiology. 63. 32–39. 15 indexed citations
11.
12.
Gu, Shi‐Hong, Wei‐Lan Yeh, Shun‐Chieh Young, Pei‐Ling Lin, & Sheng Li. (2011). TOR signaling is involved in PTTH-stimulated ecdysteroidogenesis by prothoracic glands in the silkworm, Bombyx mori. Insect Biochemistry and Molecular Biology. 42(4). 296–303. 66 indexed citations
13.
Young, Shun‐Chieh, Wei‐Lan Yeh, & Shi‐Hong Gu. (2011). Transcriptional regulation of the PTTH receptor in prothoracic glands of the silkworm, Bombyx mori. Journal of Insect Physiology. 58(1). 102–109. 23 indexed citations
14.
Gu, Shi‐Hong, et al.. (2011). Involvement of 4E-BP phosphorylation in embryonic development of the silkworm, Bombyx mori. Journal of Insect Physiology. 57(7). 978–985. 22 indexed citations
15.
16.
Gu, Shi‐Hong & Yien‐Shing Chow. (2005). Temporal changes in DNA synthesis of prothoracic gland cells during larval development and their correlation with ecdysteroidogenic activity in the silkworm, Bombyx mori. Journal of Experimental Zoology Part A Comparative Experimental Biology. 303A(4). 249–258. 13 indexed citations
17.
Gu, Shi‐Hong & Yien‐Shing Chow. (2004). Analysis of ecdysteroidogenic activity of the prothoracic glands during the last larval instar of the silkworm,Bombyx mori. Archives of Insect Biochemistry and Physiology. 58(1). 17–26. 30 indexed citations
18.
Gu, Shi‐Hong, et al.. (2003). Stimulation of Juvenile Hormone Biosynthesis by Different Ecdysteroids in Bombyx mori. Zoological studies. 42(3). 450–454. 2 indexed citations
19.
Gu, Shi‐Hong & Yien‐Shing Chow. (2001). Induction of DNA Synthesis by 20-Hydroxyecdysone in the Prothoracic Gland Cells of the Silkworm Bombyx mori during the Last Larval Instar. General and Comparative Endocrinology. 124(3). 269–276. 10 indexed citations
20.
Gu, Shi‐Hong, et al.. (2000). Temporal analysis of ecdysteroidogenic activity of the prothoracic glands during the fourth larval instar of the silkworm, Bombyx mori. Insect Biochemistry and Molecular Biology. 30(6). 499–505. 27 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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