Bao‐Hua Song

3.4k citations
47 papers · 2.3k indexed · 1 hit paper · h-index 28
Topics
Soybean genetics and cultivation (16 papers)Legume Nitrogen Fixing Symbiosis (15 papers)Nematode management and characterization studies (11 papers)

In The Last Decade

Bao‐Hua Song

46 papers receiving 2.3k citations

Hit Papers

Back into the wild—Apply untapped genetic diversity of wi...2016202620192022201650100150200250

Peers

Bao‐Hua Song
Comparison fields: 5 of 124
  • Plant Science 1.5k
  • Genetics 629
  • Molecular Biology 572
  • Ecology, Evolution, Behavior and Systematics 529
  • Nature and Landscape Conservation 223
Replace Basten L. Snoek with:
Basten L. Snoek Netherlands
Chengxin Fu China
Weibang Sun China
Christine Granier France
Gwilym P. Lewis United Kingdom
Isabel Marques Portugal
Kristine Vander Mijnsbrugge Belgium
Andreia Carina Turchetto‐Zolet Brazil
Antje Rohde Belgium
Yongshuai Sun China
Bao‐Hua Song relative to Basten L. Snoek Netherlands Basten L. Snoek's profile →
Citations per field
00.5×1.5×1.9×
Basten L. Snoek · 1×
Citations per year

Countries citing papers authored by Bao‐Hua Song

Since Specialization
Citations

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

Fields of papers citing papers by Bao‐Hua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bao‐Hua Song

This figure shows the co-authorship network connecting the top 25 collaborators of Bao‐Hua Song. A scholar is included among the top collaborators of Bao‐Hua 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 Bao‐Hua Song. Bao‐Hua 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
1 3
2 4
3 82
4 14
5 24
6 48
7 60
8 90
9 24
10 43
11 17
12 15
13 1
14 61
15 88
16 72
17 24
18 30
19 95
20 61

About Bao‐Hua Song

Bao‐Hua Song is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Soybean genetics and cultivation (16 papers), Legume Nitrogen Fixing Symbiosis (15 papers) and Nematode management and characterization studies (11 papers). The work is most often cited by research in Plant Science (1.5k citations), Ecology, Evolution, Behavior and Systematics (529 citations) and Genetics (629 citations). Bao‐Hua Song has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Hengyou Zhang, Thomas Mitchell‐Olds, Larry J. Leamy, Aaron J. Windsor, Jill T. Anderson, Oz Barazani, Neha Mittal, M. Eric Schranz, Cheng‐Ruei Lee and Maria J. Clauss. Their work appears in journals such as Science, Nature Communications and PLoS ONE.

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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