Xiao‐Tong Song

2.3k citations
47 papers · 1.5k indexed · h-index 17
Topics
CAR-T cell therapy research (18 papers)Immunotherapy and Immune Responses (13 papers)Virus-based gene therapy research (12 papers)

In The Last Decade

Xiao‐Tong Song

45 papers receiving 1.4k citations

Peers

Xiao‐Tong Song
Comparison fields: 5 of 78
  • Oncology 1.0k
  • Immunology 644
  • Molecular Biology 491
  • Genetics 391
  • Biomedical Engineering 206
Replace Junichi Mineno with:
Junichi Mineno Japan
Paul Zajac Switzerland
Elena Provasi Italy
Leslie E. Huye United States
Karsten Geletneky Germany
Roy Lau United States
Amy N. Courtney United States
Levi J. Rupp United States
Nachimuthu Chinnasamy United States
Melinda VanRoey United States
Xiao‐Tong Song relative to Junichi Mineno Japan Junichi Mineno's profile →
Citations per field
00.5×1.5×
Junichi Mineno · 1×
Citations per year

Countries citing papers authored by Xiao‐Tong Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Tong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Tong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Tong Song. A scholar is included among the top collaborators of Xiao‐Tong 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 Xiao‐Tong Song. Xiao‐Tong 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 0
2 0
3 11
4 10
5 1
6 1
7 2
8 45
9 68
10 13
11 81
12 3
13 50
14 277
15 140
16 8
17 19
18 64
19 33
20
Matrix Metalloproteinase-9 (MMP-9) Knockout Alters the Ocular Surface Response to Experimental Dryness
4

About Xiao‐Tong Song

Xiao‐Tong Song is a scholar working on Oncology, Immunology and Genetics, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (18 papers), Immunotherapy and Immune Responses (13 papers) and Virus-based gene therapy research (12 papers). The work is most often cited by research in Oncology (1.0k citations), Immunology (644 citations) and Genetics (391 citations). Xiao‐Tong Song has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Stephen Gottschalk, Sunitha Kakarla, Yu Feng, Kevin Evel-Kabler, Lisa Rollins, Xue F. Huang, Zong Sheng Guo, Xingbing Wang, Si–Yi Chen and David R. Rowley. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

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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