Wen Si

1.9k citations
13 papers · 1.1k indexed · 2 hit papers · h-index 7
Topics
CAR-T cell therapy research (4 papers)Cancer Immunotherapy and Biomarkers (2 papers)Immunotherapy and Immune Responses (2 papers)

In The Last Decade

Wen Si

10 papers receiving 1.1k citations

Hit Papers

Pan-cancer single-cell landscape of tumor-infiltrating T ...202120262022202420212024200400600

Peers

Wen Si
Comparison fields: 5 of 67
  • Oncology 586
  • Immunology 529
  • Molecular Biology 462
  • Cancer Research 132
  • Plant Science 123
Replace Cem Sievers with:
Cem Sievers United States
Alice M.S. Cheung Singapore
Jason M. Redman United States
Kathryn E. Yost United States
Ole Johan Borge Sweden
Marei Dose United States
Kaiming Sun United States
Karthik Dhatchinamoorthy United States
Catherine T. Yan United States
Mei‐Kuang Chen United States
Wen Si relative to Cem Sievers United States Cem Sievers's profile →
Citations per field
00.5×4.6×
Cem Sievers · 1×
Citations per year

Countries citing papers authored by Wen Si

Since Specialization
Citations

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

Fields of papers citing papers by Wen Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Si

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Si. A scholar is included among the top collaborators of Wen Si 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 Wen Si. Wen Si is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4
Spatiotemporal single-cell analysis decodes cellular dynamics underlying different responses to immunotherapy in colorectal cancerbreakdown →
62
5 9
6 57
7
Pan-cancer single-cell landscape of tumor-infiltrating T cellsbreakdown →
699
8 2
9 115
10 20
11 118
12
[Inhibition of HBV gene expression by antisense oligonucleotides using galactosylated poly (L-lysine) as a hepatotropic carrier].
2
13
[Comparative studies of different carriers and introducing routes on the effects of liver targeted uptake of exogenous gene].
1

About Wen Si

Wen Si is a scholar working on Immunology, Oncology and Biotechnology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (529 citations), Oncology (586 citations) and Cancer Research (132 citations). Wen Si has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Keyuan Chen, Xianwen Ren, Hong Zheng, Jiafu Ji, Li Wang, Xueda Hu, Hanqiang Ouyang, Zemin Zhang, Xiaojiang Wu and Zhaode Bu. Their work appears in journals such as Science, Nature Communications and Immunity.

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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