Zhilin Long

2.3k total citations · 2 hit papers
10 papers, 1.2k citations indexed

About

Zhilin Long is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Zhilin Long has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Zhilin Long's work include RNA modifications and cancer (3 papers), Cancer Genomics and Diagnostics (3 papers) and Single-cell and spatial transcriptomics (2 papers). Zhilin Long is often cited by papers focused on RNA modifications and cancer (3 papers), Cancer Genomics and Diagnostics (3 papers) and Single-cell and spatial transcriptomics (2 papers). Zhilin Long collaborates with scholars based in China and United States. Zhilin Long's co-authors include Yun Xiao, Liwen Xu, Chunyu Deng, Xia Li, Min Yan, Gaoming Liao, Tingting Zhao, Huating Yuan, Tao Luo and Aiai Shi and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and The FASEB Journal.

In The Last Decade

Zhilin Long

9 papers receiving 1.2k citations

Hit Papers

CancerSEA: a cancer single-cell state atlas 2018 2026 2020 2023 2018 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhilin Long China 8 812 571 492 384 260 10 1.2k
Huating Yuan China 7 845 1.0× 558 1.0× 484 1.0× 370 1.0× 260 1.0× 12 1.3k
Ya Han China 7 753 0.9× 520 0.9× 400 0.8× 474 1.2× 450 1.7× 9 1.3k
Danielle Maeser United States 4 558 0.7× 597 1.0× 423 0.9× 317 0.8× 175 0.7× 10 1.0k
Haoquan Zhao United States 3 907 1.1× 809 1.4× 540 1.1× 680 1.8× 489 1.9× 3 1.7k
Liangdong Sun China 7 475 0.6× 462 0.8× 262 0.5× 396 1.0× 332 1.3× 14 979
Kaat de Jonge Switzerland 5 537 0.7× 422 0.7× 366 0.7× 386 1.0× 266 1.0× 5 967
Mutsuko Yamamoto‐Ibusuki Japan 20 553 0.7× 250 0.4× 509 1.0× 445 1.2× 183 0.7× 45 1.1k
Rongfang Shen China 6 434 0.5× 407 0.7× 307 0.6× 286 0.7× 210 0.8× 9 848
Yilv Yan China 6 471 0.6× 391 0.7× 254 0.5× 348 0.9× 329 1.3× 10 876
Kathryn E. Ware United States 16 870 1.1× 513 0.9× 399 0.8× 548 1.4× 171 0.7× 27 1.5k

Countries citing papers authored by Zhilin Long

Since Specialization
Citations

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

Fields of papers citing papers by Zhilin Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhilin Long

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

All Works

10 of 10 papers shown
1.
Chen, Guo, Zhilin Long, Yinan Shen, et al.. (2025). BRD9 inhibition overcomes oncolytic virus therapy resistance in glioblastoma. Cell Reports Medicine. 6(8). 102258–102258.
2.
Chen, Wenyan, Zhilin Long, Jiayao Yang, et al.. (2024). RBBP6 maintains glioblastoma stem cells through CPSF3-dependent alternative polyadenylation. Cell Discovery. 10(1). 32–32. 9 indexed citations
3.
Jin, Qiming, Zhilin Long, James C. Liao, et al.. (2024). Targeting overexpressed antigens in glioblastoma via CAR T cells with computationally designed high-affinity protein binders. Nature Biomedical Engineering. 8(12). 1634–1650. 11 indexed citations
4.
Long, Zhilin, Min Tang, Yin Wang, et al.. (2022). Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma. Cell Discovery. 8(1). 68–68. 54 indexed citations
6.
Xu, Liwen, Xinxin Zhang, Lin Pang, et al.. (2021). Systematic Assessment of Transcriptomic Biomarkers for Immune Checkpoint Blockade Response in Cancer Immunotherapy. Cancers. 13(7). 1639–1639. 22 indexed citations
7.
Zhang, Yong, Gaoming Liao, Jing Bai, et al.. (2019). Identifying Cancer Driver lncRNAs Bridged by Functional Effectors through Integrating Multi-omics Data in Human Cancers. Molecular Therapy — Nucleic Acids. 17. 362–373. 25 indexed citations
8.
Xu, Liwen, Chunyu Deng, Bo Pang, et al.. (2018). TIP: A Web Server for Resolving Tumor Immunophenotype Profiling. Cancer Research. 78(23). 6575–6580. 476 indexed citations breakdown →
9.
Xu, Jinyuan, Aiai Shi, Zhilin Long, et al.. (2018). Capturing functional long non-coding RNAs through integrating large-scale causal relations from gene perturbation experiments. EBioMedicine. 35. 369–380. 21 indexed citations
10.
Yuan, Huating, Min Yan, Guanxiong Zhang, et al.. (2018). CancerSEA: a cancer single-cell state atlas. Nucleic Acids Research. 47(D1). D900–D908. 597 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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