Na Song
- Molecular Biology top 10%
- Plant Science top 2%
- Genetics top 5%
- Aquatic Science top 1%
- Nature and Landscape Conservation top 5%
- Co-authors
- Tianxiang GaoYingyin YaoZhongfu NiHuiru PengQixin SunZhaorong HuZhensheng KangMingming Xin
- Topics
- Identification and Quantification in Food (107 papers)Genetic diversity and population structure (75 papers)Genomics and Phylogenetic Studies (47 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENew Phytologist
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Na Song
183 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.2k
- Plant Science 946
- Genetics 569
- Aquatic Science 332
- Nature and Landscape Conservation 281
Countries citing papers authored by Na Song
This map shows the geographic impact of Na 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 Na Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Song more than expected).
Fields of papers citing papers by Na Song
This network shows the impact of papers produced by Na 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 Na Song. The network helps show where Na Song may publish in the future.
Co-authorship network of co-authors of Na Song
This figure shows the co-authorship network connecting the top 25 collaborators of Na Song. A scholar is included among the top collaborators of Na 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 Na Song. Na Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | Redescription and DNA Barcoding of Sillago indica (Perciformes: Sillaginidae) from the Coast of Pakistan | 5 |
| 15 | Genetic variation based on the mitochondrial DNA control region of yellow catfish (Pelteobagrus fulvidraco) | 3 |
| 16 | THE MORPHOLOGICAL CHARACTERS AND GENETIC DIVERSITY OF BLEPHARIPODA LIBERATE SHEN AND LOPHOMASTIX JAPONICA | 1 |
| 17 | 2 | |
| 18 | Genetic diversity and population structure of a pelagic fish, jack mackerel (Trachurus japonicus), based on AFLP analysis. | 5 |
| 19 | Comparative analysis of genetic diversity of Synechogobius ommaturus based on the mitochondrial DNA control region. | 4 |
| 20 | Theoretical Correction to the Effect of Acceleration Distribution of Mass in Sinusoidal Force Calibration | 0 |
About Na Song
Na Song is a scholar working on Aquatic Science, Nature and Landscape Conservation and Genetics, having authored 189 papers that have together received 2.2k indexed citations. Recurring topics across this work include Identification and Quantification in Food (107 papers), Genetic diversity and population structure (75 papers) and Genomics and Phylogenetic Studies (47 papers). The work is most often cited by research in Aquatic Science (332 citations), Endocrinology (168 citations) and Plant Science (946 citations). Na Song has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Tianxiang Gao, Yingyin Yao, Zhongfu Ni, Huiru Peng, Qixin Sun, Zhaorong Hu, Zhensheng Kang, Mingming Xin, Takashi Yanagimoto and Xiumei Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and New Phytologist.
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.