Lanxi Song

4.7k citations
23 papers · 3.9k indexed · 2 hit papers · h-index 20
Topics
Lung Cancer Treatments and Mutations (10 papers)Cytokine Signaling Pathways and Interactions (8 papers)PI3K/AKT/mTOR signaling in cancer (7 papers)

In The Last Decade

Lanxi Song

23 papers receiving 3.8k citations

Hit Papers

Constitutive Stat3 activity up-regulates VEGF expression ...2002202620102018200220092505007501000

Peers

Lanxi Song
Comparison fields: 5 of 105
  • Molecular Biology 2.2k
  • Oncology 2.1k
  • Pulmonary and Respiratory Medicine 701
  • Cancer Research 664
  • Immunology 615
Replace Jennifer R. Grandis with:
Jennifer R. Grandis United States
William H. Chappell United States
Stefano Pepe Italy
Daoyan Wei United States
Joseph A. Fontana United States
Ralf Buettner United States
Deborah A. Altomare United States
Monica R. Maiello Italy
Xiujuan Qu China
Sarah Bacus United States
Lanxi Song relative to Jennifer R. Grandis United States Jennifer R. Grandis's profile →
Citations per field
00.5×1.5×
Jennifer R. Grandis · 1×
Citations per year

Countries citing papers authored by Lanxi Song

Since Specialization
Citations

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

Fields of papers citing papers by Lanxi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanxi Song

This figure shows the co-authorship network connecting the top 25 collaborators of Lanxi Song. A scholar is included among the top collaborators of Lanxi 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 Lanxi Song. Lanxi 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 24
2 20
3 34
4 85
5 98
6 140
7 219
8 47
9
Src kinases as therapeutic targets for cancerbreakdown →
569
10 12
11 183
12 181
13 320
14 190
15 315
16 7
17
Constitutive Stat3 activity up-regulates VEGF expression and tumor angiogenesisbreakdown →
1019
18 120
19 38
20 40

About Lanxi Song

Lanxi Song is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 3.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (10 papers), Cytokine Signaling Pathways and Interactions (8 papers) and PI3K/AKT/mTOR signaling in cancer (7 papers). The work is most often cited by research in Oncology (2.1k citations), Cancer Research (664 citations) and Molecular Biology (2.2k citations). Lanxi Song has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include Eric B. Haura, Richard Jove, James Turkson, James G. Karras, Domenico Coppola, Dominic Sinibaldi, Richard Heller, Lee M. Ellis, Jacqueline Bromberg and Drew M. Pardoll. Their work appears in journals such as Journal of Clinical Oncology, Blood 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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