Xianwen Ren

16.1k citations
79 papers · 6.3k indexed · 7 hit papers · h-index 29
Topics
Single-cell and spatial transcriptomics (18 papers)Bioinformatics and Genomic Networks (13 papers)Gene expression and cancer classification (10 papers)

In The Last Decade

Xianwen Ren

78 papers receiving 6.2k citations

Hit Papers

Global characterization of T cells in non-small-cell lung...201820262020202320182021201820212022250500750

Peers

Xianwen Ren
Comparison fields: 5 of 153
  • Molecular Biology 2.7k
  • Immunology 2.7k
  • Oncology 2.5k
  • Cancer Research 1.0k
  • Infectious Diseases 640
Replace Luc J. W. van der Laan with:
Luc J. W. van der Laan Netherlands
Dmitriy Zamarin United States
Thomas Winkler Germany
Robert G.J. Vries Netherlands
Raj K. Puri United States
Richard Heller United States
Yoshikazu Takada United States
Don L. Gibbons United States
Magnus von Knebel Doeberitz Germany
Ming Yan China
Xianwen Ren relative to Luc J. W. van der Laan Netherlands Luc J. W. van der Laan's profile →
Citations per field
00.5×1.5×1.9×
Luc J. W. van der Laan · 1×
Citations per year

Countries citing papers authored by Xianwen Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xianwen Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianwen Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Xianwen Ren. A scholar is included among the top collaborators of Xianwen Ren 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 Xianwen Ren. Xianwen Ren 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 30
2
Immune phenotypic linkage between colorectal cancer and liver metastasisbreakdown →
263
3 39
4
Pan-cancer single-cell landscape of tumor-infiltrating T cellsbreakdown →
699
5
A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cellsbreakdown →
820
6 5
7 97
8 16
9 20
10 3
11 3
12 4
13 1
14 2
15 48
16 75
17 19
18 22
19 8
20 7

About Xianwen Ren

Xianwen Ren is a scholar working on Immunology, Molecular Biology and Infectious Diseases, having authored 79 papers that have together received 6.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (18 papers), Bioinformatics and Genomic Networks (13 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Immunology (2.7k citations), Oncology (2.5k citations) and Cancer Research (1.0k citations). Xianwen Ren has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zemin Zhang, Xueda Hu, Ranran Gao, Qiming Zhang, Boxi Kang, Liangtao Zheng, Yuanyuan Zhang, Zhaode Bu, Baocai Xing and Ziyi Li. Their work appears in journals such as Nature, Science and Cell.

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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