Zhaobin Song

1.6k citations
104 papers · 1.1k indexed · h-index 19
Topics
Genetic diversity and population structure (44 papers)Fish Ecology and Management Studies (35 papers)Fish Biology and Ecology Studies (28 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment
Partner nations
ChinaNetherlandsCanada

In The Last Decade

Zhaobin Song

100 papers receiving 1.1k citations

Peers

Zhaobin Song
Comparison fields: 5 of 82
  • Genetics 483
  • Molecular Biology 473
  • Nature and Landscape Conservation 368
  • Aquatic Science 335
  • Ecology 284
Replace Takahiko Mukai with:
Takahiko Mukai Japan
Richard E. Broughton United States
N. S. Mugue Russia
Gonzalo Machado‐Schiaffino Spain
Agnès Dettaı̈ France
Bruno Guinand France
Zuogang Peng China
Qiongying Tang China
Scott A. Pavey Canada
Joana I. Robalo Portugal
Zhaobin Song relative to Takahiko Mukai Japan Takahiko Mukai's profile →
Citations per field
00.5×4.1×
Takahiko Mukai · 1×
Citations per year

Countries citing papers authored by Zhaobin Song

Since Specialization
Citations

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

Fields of papers citing papers by Zhaobin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaobin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaobin Song. A scholar is included among the top collaborators of Zhaobin Song 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 Zhaobin Song. Zhaobin Song 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
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15
Development of Microsatellite Markers for Leptobotia elongata (Cypriniformes: Cobitidae) Using 454 Sequencing and Cross-species Amplification
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Cloning, Sequence Analysis and Gene Expression of cDNA for the HSC70 Gene in Procypris rabaudi
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17 29
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Age Determination of Weakspine Schizothoracin (Schizopygopsis malacanthus)
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Study on genetic diversity based on AFLP fingerprint of rock carp from Hejiang section of Yangtze River
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About Zhaobin Song

Zhaobin Song is a scholar working on Aquatic Science, Nature and Landscape Conservation and Genetics, having authored 104 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (44 papers), Fish Ecology and Management Studies (35 papers) and Fish Biology and Ecology Studies (28 papers). The work is most often cited by research in Aquatic Science (335 citations), Nature and Landscape Conservation (368 citations) and Genetics (483 citations). Zhaobin Song has collaborated with scholars based in China, Netherlands and Canada. Frequent co-authors include Xiuyue Zhang, Bisong Yue, Shunping He, Liandong Yang, Ying Wang, Jun Song, Yanping Zhang, Kun Yang, Shiyong Yang and Chenguang Feng. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

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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