Song Lian

810 total citations
17 papers, 642 citations indexed

About

Song Lian is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, Song Lian has authored 17 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Song Lian's work include Synthesis and biological activity (5 papers), Synthesis and Biological Evaluation (5 papers) and Ferrocene Chemistry and Applications (3 papers). Song Lian is often cited by papers focused on Synthesis and biological activity (5 papers), Synthesis and Biological Evaluation (5 papers) and Ferrocene Chemistry and Applications (3 papers). Song Lian collaborates with scholars based in China, Finland and South Korea. Song Lian's co-authors include Bao‐Xiang Zhao, Yanfang Liu, Haitao Zhu, Dongqing Wang, Jun‐Ying Miao, Aihua Gong, Hong‐Shui Lv, Liang‐Wen Zheng, Fang Cheng and Weiyong Liu and has published in prestigious journals such as Scientific Reports, Cell Death and Differentiation and Cell Death and Disease.

In The Last Decade

Song Lian

16 papers receiving 631 citations

Peers

Song Lian
Comparison fields: 5 of 79
  • Molecular Biology 277
  • Organic Chemistry 188
  • Cancer Research 156
  • Pulmonary and Respiratory Medicine 133
  • Oncology 110
Replace Satish K. Chitneni with:
Satish K. Chitneni United States
Jiaxiang Liu China
Peng Shu China
Keigo Gohda Japan
Emilia Calvaresi United States
Stefan Gradl United States
Keizo Koya United States
Zaihui Zhang Canada
Darren McKerrecher United Kingdom
Joaquim Tiago Cardoso Leles de Jesus Portugal
Satish K. Chitneni United States View profile →
Citations per field, relative to Song Lian
Song Lian · 1×
Citations per year, relative to Song Lian
Song Lian · 1×

Countries citing papers authored by Song Lian

Since Specialization
Citations

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

Fields of papers citing papers by Song Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Lian

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 6
2 30
3 17
4 171
5 59
6 26
7 34
8 37
9 0
10 7
11 19
12 29
13 57
14 55
15 22
16 41
17 32

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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