Xin Song

1.8k total citations
56 papers, 1.3k citations indexed

About

Xin Song is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Xin Song has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Pulmonary and Respiratory Medicine and 14 papers in Cancer Research. Recurrent topics in Xin Song's work include Cancer-related molecular mechanisms research (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and RNA modifications and cancer (7 papers). Xin Song is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and RNA modifications and cancer (7 papers). Xin Song collaborates with scholars based in China, United States and Philippines. Xin Song's co-authors include Keith B. Elkon, Jun Zhou, Dror Mevorach, Chaohui Yu, Changzhou Cai, Xueyang Chen, Yishu Chen, Steven Friedman, Elizabeth Lacy and Dalit Ashany and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Xin Song

49 papers receiving 1.3k citations

Peers

Xin Song
Comparison fields: 5 of 94
  • Immunology 585
  • Molecular Biology 421
  • Epidemiology 215
  • Rheumatology 208
  • Oncology 206
Replace Emily Smith with:
Emily Smith United States
Carla Eponina Carvalho-Pinto Brazil
Jia Tong China
Zhongping Zhan China
Kouji Matsushima Japan
Vladislav Temkin United States
Tania Pannellini United States
Jaewoo Hong South Korea
Zhu‐Xu Zhang Canada
Ravichandran Panchanathan United States
Emily Smith United States View profile →
Citations per field, relative to Xin Song
Xin Song · 1×
Citations per year, relative to Xin Song
Xin Song · 1×

Countries citing papers authored by Xin Song

Since Specialization
Citations

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

Fields of papers citing papers by Xin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Song. A scholar is included among the top collaborators of Xin 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 Xin Song. Xin 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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 2
6 0
7 2
8 11
9 9
10 6
11 28
12 9
13
Long non-coding RNA LncHIFCAR promotes osteoarthritis development via positively regulating HIF-1α and activating the PI3K/AKT/mTOR pathway.
11
14 0
15 1
16 7
17 21
18 16
19
[Radical resection of gastric or colorectal carcinoma combined with liver transplantation for gastric or colorectal carcinoma with multiple hepatic metastases].
4
20 467

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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