Lanying Song

945 citations
22 papers · 749 indexed · h-index 16
Topics
Wnt/β-catenin signaling in development and cancer (5 papers)Mitochondrial Function and Pathology (4 papers)Congenital heart defects research (4 papers)

In The Last Decade

Lanying Song

22 papers receiving 742 citations

Peers

Lanying Song
Comparison fields: 5 of 77
  • Molecular Biology 557
  • Genetics 205
  • Surgery 90
  • Cellular and Molecular Neuroscience 80
  • Developmental Neuroscience 71
Replace Yvonne J. Vos with:
Yvonne J. Vos Netherlands
Natasha S. Hamblet United States
Maria Lisa Dentici Italy
Nisha Patel Saudi Arabia
Reza Maroofian United Kingdom
Jennifer Coleman United States
Annita Achilleos United States
Angelo Iulianella Canada
Annabel Christ Germany
Lanying Song relative to Yvonne J. Vos Netherlands Yvonne J. Vos's profile →
Citations per field
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Yvonne J. Vos · 1×
Citations per year

Countries citing papers authored by Lanying Song

Since Specialization
Citations

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

Fields of papers citing papers by Lanying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanying Song

This figure shows the co-authorship network connecting the top 25 collaborators of Lanying Song. A scholar is included among the top collaborators of Lanying 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 Lanying Song. Lanying 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 21
2 71
3 17
4 26
5 16
6 16
7 32
8 57
9 39
10 32
11 128
12 18
13 54
14 55
15 74
16 8
17 12
18 7
19 8
20
[Detection of Mycobacterium tuberculosis in lung cancer tissue by indirect in situ nested PCR].
6

About Lanying Song

Lanying Song is a scholar working on Developmental Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 749 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), Mitochondrial Function and Pathology (4 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Developmental Neuroscience (71 citations), Molecular Biology (557 citations) and Genetics (205 citations). Lanying Song has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Chengji J. Zhou, Yongping Wang, Yunhong Li, Kai Jiao, Yazhou Wang, Gino Cortopassi, Andrei Molotkov, David Pleasure, Kai Wang and Wensheng Yan. Their work appears in journals such as Journal of Neuroscience, Circulation Research and Development.

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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