Boxi Kang

22.5k total citations · 5 hit papers
15 papers, 14.0k citations indexed

About

Boxi Kang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Boxi Kang has authored 15 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Oncology. Recurrent topics in Boxi Kang's work include Single-cell and spatial transcriptomics (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and T-cell and B-cell Immunology (5 papers). Boxi Kang is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and T-cell and B-cell Immunology (5 papers). Boxi Kang collaborates with scholars based in China, United States and Germany. Boxi Kang's co-authors include Zemin Zhang, Chenwei Li, Zefang Tang, Ge Gao, Cheng Li, Tianxiang Chen, Xueda Hu, Qiming Zhang, Liangtao Zheng and Yuanyuan Zhang and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Boxi Kang

15 papers receiving 13.9k citations

Hit Papers

GEPIA: a web server for cancer and normal gene expression... 2017 2026 2020 2023 2017 2019 2017 2018 2018 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses
    2017 7.1k citations Zefang Tang, Chenwei Li et al. Nucleic Acids Research profile →
  2. GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis
    2019 3.1k citations Zefang Tang, Boxi Kang et al. Nucleic Acids Research profile →
  3. Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing
    2017 1.4k citations Chunhong Zheng, Liangtao Zheng et al. Cell profile →
  4. Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing
    2018 990 citations Xinyi Guo, Yuanyuan Zhang et al. Nature Medicine profile →
  5. Lineage tracking reveals dynamic relationships of T cells in colorectal cancer
    2018 814 citations Lei Zhang, Xin Yu et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Boxi Kang China 14 9.0k 4.7k 4.6k 4.0k 3.6k 15 14.0k
Zefang Tang China 14 8.0k 0.9× 4.1k 0.9× 2.8k 0.6× 3.6k 0.9× 1.6k 0.5× 23 11.2k
Rileen Sinha United States 11 8.5k 0.9× 4.2k 0.9× 4.3k 0.9× 3.2k 0.8× 1.3k 0.4× 18 13.2k
Yevgeniy Antipin United States 5 9.3k 1.0× 4.3k 0.9× 3.9k 0.9× 3.3k 0.8× 1.4k 0.4× 6 13.7k
Yichao Sun United States 2 7.4k 0.8× 3.5k 0.7× 3.4k 0.7× 2.9k 0.7× 1.1k 0.3× 3 10.8k
Gideon Dresdner United States 3 7.4k 0.8× 3.5k 0.7× 3.4k 0.7× 2.9k 0.7× 1.1k 0.3× 3 10.8k
Peter M. Siegel Canada 53 9.0k 1.0× 3.6k 0.8× 7.0k 1.5× 1.6k 0.4× 1.7k 0.5× 148 14.7k
Elisa de Stanchina United States 65 13.8k 1.5× 4.9k 1.1× 7.0k 1.5× 3.0k 0.8× 1.8k 0.5× 226 19.4k
Jeffrey R. Infante United States 63 6.9k 0.8× 2.5k 0.5× 9.0k 2.0× 3.5k 0.9× 2.2k 0.6× 343 14.8k
Justin M. Balko United States 50 5.1k 0.6× 2.5k 0.5× 6.1k 1.3× 2.3k 0.6× 2.7k 0.8× 152 11.5k

Countries citing papers authored by Boxi Kang

Since Specialization
Citations

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

Fields of papers citing papers by Boxi Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boxi Kang

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

All Works

15 of 15 papers shown
1.
Han, Feng, Xiaohong Zhao, Xue Bai, et al.. (2023). A novel memory-like Tfh cell subset is precursor to effector Tfh cells in recall immune responses. The Journal of Experimental Medicine. 221(1). 13 indexed citations
2.
Li, Ang, Bai Ji, Yongsheng Yang, et al.. (2023). Single-cell RNA sequencing highlights the role of PVR/PVRL2 in the immunosuppressive tumour microenvironment in hepatocellular carcinoma. Frontiers in Immunology. 14. 1164448–1164448. 11 indexed citations
3.
Cai, Yi, Yejun Wang, Chenyan Shi, et al.. (2022). Single-cell immune profiling reveals functional diversity of T cells in tuberculous pleural effusion. The Journal of Experimental Medicine. 219(3). 35 indexed citations
4.
Kang, Boxi, J. Camps, Biao Fan, et al.. (2022). Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment. Genome biology. 23(1). 60 indexed citations
5.
Bhatt, Dev, Boxi Kang, Deepali V. Sawant, et al.. (2021). STARTRAC analyses of scRNAseq data from tumor models reveal T cell dynamics and therapeutic targets. The Journal of Experimental Medicine. 218(6). 21 indexed citations
6.
Li, Chenwei, Baolin Liu, Boxi Kang, et al.. (2020). SciBet as a portable and fast single cell type identifier. Nature Communications. 11(1). 1818–1818. 95 indexed citations
7.
Tang, Zefang, Boxi Kang, Chenwei Li, Tianxiang Chen, & Zemin Zhang. (2019). GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis. Nucleic Acids Research. 47(W1). W556–W560. 3088 indexed citations breakdown →
8.
Yang, Rui, Boxi Kang, Bin Chen, et al.. (2019). CDK5RAP3, a UFL1 substrate adaptor, is critical for liver development. Development. 146(2). 49 indexed citations
9.
Yang, Rui, Sijin Cheng, Nan Luo, et al.. (2019). Distinct epigenetic features of tumor-reactive CD8+ T cells in colorectal cancer patients revealed by genome-wide DNA methylation analysis. Genome biology. 21(1). 2–2. 97 indexed citations
10.
Jiang, Hongpeng, Boxi Kang, Yichao Yan, et al.. (2019). Cancer IgG, a potential prognostic marker, promotes colorectal cancer progression. Chinese Journal of Cancer Research. 31(3). 499–510. 19 indexed citations
11.
Guo, Xinyi, Yuanyuan Zhang, Liangtao Zheng, et al.. (2018). Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing. Nature Medicine. 24(7). 978–985. 990 indexed citations breakdown →
12.
Zhang, Lei, Xin Yu, Liangtao Zheng, et al.. (2018). Lineage tracking reveals dynamic relationships of T cells in colorectal cancer. Nature. 564(7735). 268–272. 814 indexed citations breakdown →
13.
Ren, Xianwen, Boxi Kang, & Zemin Zhang. (2018). Understanding tumor ecosystems by single-cell sequencing: promises and limitations. Genome biology. 19(1). 211–211. 151 indexed citations
14.
Tang, Zefang, Chenwei Li, Boxi Kang, et al.. (2017). GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Research. 45(W1). W98–W102. 7149 indexed citations breakdown →
15.
Zheng, Chunhong, Liangtao Zheng, Jae‐Kwang Yoo, et al.. (2017). Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing. Cell. 169(7). 1342–1356.e16. 1410 indexed citations breakdown →

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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Breakdown of academic impact, for papers by Zefang Tang Breakdown of academic impact, for papers by Rileen Sinha Breakdown of academic impact, for papers by Yevgeniy Antipin Breakdown of academic impact, for papers by Yichao Sun Breakdown of academic impact, for papers by Gideon Dresdner Breakdown of academic impact, for papers by Peter M. Siegel Breakdown of academic impact, for papers by Elisa de Stanchina Breakdown of academic impact, for papers by Jeffrey R. Infante Breakdown of academic impact, for papers by Justin M. Balko
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