Shi‐Hong Gu

1.6k citations
70 papers · 1.2k indexed · h-index 22
Topics
Neurobiology and Insect Physiology Research (63 papers)Insect Utilization and Effects (33 papers)Invertebrate Immune Response Mechanisms (21 papers)
Partner nations
TaiwanChinaJapan

In The Last Decade

Shi‐Hong Gu

64 papers receiving 1.2k citations

Peers

Shi‐Hong Gu
Comparison fields: 5 of 59
  • Cellular and Molecular Neuroscience 1.0k
  • Insect Science 676
  • Genetics 317
  • Molecular Biology 304
  • Immunology 269
Replace Sho Sakurai with:
Sho Sakurai Japan
Makoto Kiuchi Japan
Kunihiro Shiomi Japan
Takumi Kayukawa Japan
Xiaofeng Zhou United States
Rong‐Jing Jiang China
Kyo Itoyama Japan
Keiko Takaki Japan
Masaaki Azuma Japan
Edward B. Dubrovsky United States
Shi‐Hong Gu relative to Sho Sakurai Japan Sho Sakurai's profile →
Citations per field
00.5×1.7×
Sho Sakurai · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 8
4 2
5 2
6 10
7 13
8 7
9 25
10 15
11 17
12 66
13 23
14 22
15 27
16 13
17 30
18
Stimulation of Juvenile Hormone Biosynthesis by Different Ecdysteroids in Bombyx mori
2
19 10
20 27

About Shi‐Hong Gu

Shi‐Hong Gu is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Biomaterials, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (63 papers), Insect Utilization and Effects (33 papers) and Invertebrate Immune Response Mechanisms (21 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Insect Science (676 citations) and Biomaterials (219 citations). Shi‐Hong Gu has collaborated with scholars based in Taiwan, China and Japan. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Agricultural and Food Chemistry.

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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