Weining Song

4.9k total citations · 2 hit papers
80 papers, 2.7k citations indexed

About

Weining Song is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Weining Song has authored 80 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Plant Science, 33 papers in Molecular Biology and 17 papers in Genetics. Recurrent topics in Weining Song's work include Wheat and Barley Genetics and Pathology (17 papers), Plant Disease Resistance and Genetics (12 papers) and Plant Molecular Biology Research (12 papers). Weining Song is often cited by papers focused on Wheat and Barley Genetics and Pathology (17 papers), Plant Disease Resistance and Genetics (12 papers) and Plant Molecular Biology Research (12 papers). Weining Song collaborates with scholars based in China, Australia and United Kingdom. Weining Song's co-authors include Xiaojun Nie, Peter Langridge, Hong Yue, Pingchuan Deng, Xianghong Du, Meng Wang, Kewei Feng, Zhaogui Yan, Licao Cui and Siddanagouda S. Biradar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Weining Song

79 papers receiving 2.6k citations

Hit Papers

Plant domestication shapes rhizosphere microbiome assembl... 2023 2026 2024 2025 2023 2024 40 80 120

Peers

Weining Song
Comparison fields: 5 of 105
  • Plant Science 1.9k
  • Molecular Biology 1.2k
  • Genetics 448
  • Ecology, Evolution, Behavior and Systematics 185
  • Cell Biology 127
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Citations per field, relative to Weining Song
Weining Song · 1×
Citations per year, relative to Weining Song
Weining Song · 1×

Countries citing papers authored by Weining Song

Since Specialization
Citations

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

Fields of papers citing papers by Weining Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weining Song

This figure shows the co-authorship network connecting the top 25 collaborators of Weining Song. A scholar is included among the top collaborators of Weining 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 Weining Song. Weining 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
# Work Indexed citations
1 3
2
Host genotype-specific rhizosphere fungus enhances drought resistance in wheat breakdown →
41
3 13
4 5
5 3
6 3
7 2
8 0
9 22
10 1
11 20
12 62
13 10
14 55
15 63
16 1
17 11
18 34
19
Identification of cereals using DNA based technology
8
20
Application of primers derived from barley alpha-amylase genes to the identification of cereals by PCR
2

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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