Baodong Song

630 total citations
18 papers, 528 citations indexed

About

Baodong Song is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Baodong Song has authored 18 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Biomedical Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Baodong Song's work include Biosensors and Analytical Detection (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Advanced Biosensing Techniques and Applications (4 papers). Baodong Song is often cited by papers focused on Biosensors and Analytical Detection (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Advanced Biosensing Techniques and Applications (4 papers). Baodong Song collaborates with scholars based in China, Japan and Netherlands. Baodong Song's co-authors include Hanchang Shi, Miao He, Xiaohong Zhou, Lanhua Liu, Hong‐Li Guo, Xiaohong Zhou, Yan Zhang, Shichang Wang, Chunmei Gu and Cheng Wang and has published in prestigious journals such as Environmental Science & Technology, Scientific Reports and Food Chemistry.

In The Last Decade

Baodong Song

18 papers receiving 518 citations

Peers

Baodong Song
Comparison fields: 5 of 69
  • Molecular Biology 311
  • Biomedical Engineering 254
  • Electrical and Electronic Engineering 111
  • Water Science and Technology 67
  • Materials Chemistry 55
Replace H. Shi with:
H. Shi China
Jinsong Yu China
Haixia Wang China
Joey N. Talbert United States
Feng Long China
Yook Heng Lee Malaysia
Lanhua Liu China
Sonia Herranz Spain
Lamia Hejji Morocco
H. Shi China View profile →
Citations per field, relative to Baodong Song
Baodong Song · 1×
Citations per year, relative to Baodong Song
Baodong Song · 1×

Countries citing papers authored by Baodong Song

Since Specialization
Citations

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

Fields of papers citing papers by Baodong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baodong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Baodong Song. A scholar is included among the top collaborators of Baodong 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 Baodong Song. Baodong Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 4
2 36
3 69
4 70
5 48
6 9
7 8
8 36
9 45
10 18
11 29
12 31
13 39
14 28
15 11
16
[Synthesis of complete antigen of microcystin-LR and its antibody production].
2
17 17
18 28

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026