Songlin Li

3.6k citations
69 papers · 2.8k indexed · h-index 29
Topics
Traditional Chinese Medicine Analysis (17 papers)Neuroinflammation and Neurodegeneration Mechanisms (10 papers)Neurogenesis and neuroplasticity mechanisms (8 papers)

In The Last Decade

Songlin Li

65 papers receiving 2.7k citations

Peers

Songlin Li
Comparison fields: 5 of 138
  • Molecular Biology 1.1k
  • Neurology 697
  • Cellular and Molecular Neuroscience 611
  • Complementary and alternative medicine 530
  • Physiology 313
Replace Byung Tae Choi with:
Byung Tae Choi South Korea
Christianne Gazzana Salbego Brazil
Phil‐Ok Koh South Korea
Kwang Ho Ko South Korea
Kentaro Matsuzaki Japan
Dong‐Young Choi South Korea
Hong‐Shuo Sun Canada
James F. Hatcher United States
Shoei Furukawa Japan
Yoshiko Furukawa Japan
Songlin Li relative to Byung Tae Choi South Korea Byung Tae Choi's profile →
Citations per field
00.5×1.5×1.9×
Byung Tae Choi · 1×
Citations per year

Countries citing papers authored by Songlin Li

Since Specialization
Citations

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

Fields of papers citing papers by Songlin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songlin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Songlin Li. A scholar is included among the top collaborators of Songlin Li 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 Songlin Li. Songlin Li 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 0
2 1
3 0
4 29
5 2
6 2
7 28
8 117
9
HPLC fingerprint and clustering analysis of lonicerae japonicae flos before and after sulfur-fumigated process
2
10 267
11 159
12 36
13 35
14 83
15 32
16 13
17 67
18 71
19 91
20 46

About Songlin Li

Songlin Li is a scholar working on Complementary and alternative medicine, Developmental Neuroscience and Neurology, having authored 69 papers that have together received 2.8k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Neurogenesis and neuroplasticity mechanisms (8 papers). The work is most often cited by research in Neurology (697 citations), Developmental Neuroscience (309 citations) and Complementary and alternative medicine (530 citations). Songlin Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include S. Thomas Carmichael, Ivonne Archibeque, Tim Nolan, Ge Lin, Ping Li, Margaret Fahnestock, Jing‐Zheng Song, Chun‐Feng Qiao, Hong‐Xi Xu and Giovanni Coppola. Their work appears in journals such as Journal of Biological Chemistry, Nature Neuroscience 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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