Shubo Jin

6.8k total citations
125 papers, 2.1k citations indexed

About

Shubo Jin is a scholar working on Genetics, Aquatic Science and Ecology. According to data from OpenAlex, Shubo Jin has authored 125 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Genetics, 49 papers in Aquatic Science and 47 papers in Ecology. Recurrent topics in Shubo Jin's work include Aquaculture Nutrition and Growth (46 papers), Invertebrate Immune Response Mechanisms (43 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (42 papers). Shubo Jin is often cited by papers focused on Aquaculture Nutrition and Growth (46 papers), Invertebrate Immune Response Mechanisms (43 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (42 papers). Shubo Jin collaborates with scholars based in China, United States and Canada. Shubo Jin's co-authors include Hongtuo Fu, Hui Qiao, Yiwei Xiong, Yongsheng Gong, Wenyi Zhang, Shengming Sun, Sufei Jiang, Yan Wu, Sufei Jiang and Yuning Hu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Shubo Jin

119 papers receiving 2.1k citations

Peers

Shubo Jin
Comparison fields: 5 of 90
  • Aquatic Science 785
  • Genetics 754
  • Ecology 700
  • Immunology 648
  • Molecular Biology 493
Replace Tomer Ventura with:
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Guangli Li China
Hongtuo Fu China
Shengming Sun China
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Yiwei Xiong China
Daniel J. Macqueen United Kingdom
Haishen Wen China
Yongsheng Gong China
François Chauvigné Spain
Tomer Ventura Australia View profile →
Citations per field, relative to Shubo Jin
Shubo Jin · 1×
Citations per year, relative to Shubo Jin
Shubo Jin · 1×

Countries citing papers authored by Shubo Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shubo Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubo Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shubo Jin. A scholar is included among the top collaborators of Shubo Jin 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 Shubo Jin. Shubo Jin 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
# Work Indexed citations
1 1
2 5
3 1
4 3
5 3
6 4
7 1
8 3
9 7
10 3
11 3
12 2
13 37
14 40
15 23
16 8
17
Molecular Characterization, Genomic Organization, and Expression Analysis of Sperm Gelatinase Gene during Post-Embryonic Development in Macrobrachium nipponense
6
18 67
19 37
20
Design of an all-digital DS/CDMA receiver
1

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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