Liangdong Sun

2.2k total citations · 2 hit papers
14 papers, 979 citations indexed

About

Liangdong Sun is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Liangdong Sun has authored 14 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Liangdong Sun's work include Single-cell and spatial transcriptomics (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Cancer Genomics and Diagnostics (3 papers). Liangdong Sun is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Cancer Genomics and Diagnostics (3 papers). Liangdong Sun collaborates with scholars based in China, United Kingdom and Spain. Liangdong Sun's co-authors include Peng Zhang, Yilv Yan, Jin Wang, Ya Han, Chenfei Wang, Taiwen Li, Xiaoying Shi, Xin Dong, Pengfei Ren and Ziyi Li and has published in prestigious journals such as Nucleic Acids Research, The FASEB Journal and The Annals of Thoracic Surgery.

In The Last Decade

Liangdong Sun

13 papers receiving 972 citations

Hit Papers

align trajectories

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.

TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment

2020 689 citations Dongqing Sun, Jin Wang et al. Nucleic Acids Research profile →
Tumor microenvironment remodeling after neoadjuvant immunotherapy in non-small cell lung cancer revealed by single-cell RNA sequencing

2023 152 citations Junjie Hu, Lele Zhang et al. Genome Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liangdong Sun China	7	475	462	396	332	262	14	979
Huating Yuan China	7	845 1.8×	558 1.2×	370 0.9×	260 0.8×	484 1.8×	12	1.3k
Gert Van den Eynden Belgium	17	400 0.8×	289 0.6×	861 2.2×	445 1.3×	381 1.5×	34	1.3k
Stephen J. Luen Australia	13	290 0.6×	354 0.8×	958 2.4×	453 1.4×	307 1.2×	32	1.3k
Viktor Svekolkin United States	4	311 0.7×	275 0.6×	420 1.1×	233 0.7×	219 0.8×	12	742
Ali Amin‐Mansour United States	6	396 0.8×	319 0.7×	424 1.1×	179 0.5×	243 0.9×	9	983
Brett Wallden United States	8	362 0.8×	272 0.6×	496 1.3×	143 0.4×	449 1.7×	17	938
Tobias Anzeneder Germany	12	631 1.3×	131 0.3×	554 1.4×	349 1.1×	334 1.3×	18	1.1k
Patricia Gaule United States	13	269 0.6×	221 0.5×	665 1.7×	344 1.0×	187 0.7×	29	1.0k
Lars Tharun Germany	15	471 1.0×	240 0.5×	434 1.1×	118 0.4×	179 0.7×	41	966
Zhilin Long China	8	812 1.7×	571 1.2×	384 1.0×	260 0.8×	492 1.9×	10	1.2k

Countries citing papers authored by Liangdong Sun

Since Specialization

Citations

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

Fields of papers citing papers by Liangdong Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangdong Sun

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

All Works

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14 of 14 papers shown

Sun, Liangdong, Jue Wang, Huansha Yu, et al.. (2025). Selective inhibition of TGF-β-induced epithelial-mesenchymal transition overcomes chemotherapy resistance in high-risk lung squamous cell carcinoma. Communications Biology. 8(1). 152–152. 1 indexed citations

Sun, Liangdong, Junjie Hu, Jue Wang, et al.. (2025). Expression and Clinical Implications of LAG ‐3 in Small Cell Lung Cancer. The FASEB Journal. 39(18). e71069–e71069.

Hu, Junjie, Lele Zhang, Haoran Xia, et al.. (2023). Tumor microenvironment remodeling after neoadjuvant immunotherapy in non-small cell lung cancer revealed by single-cell RNA sequencing. Genome Medicine. 15(1). 14–14. 152 indexed citations breakdown →

Ren, Pengfei, Xiaoying Shi, Xin Dong, et al.. (2023). Single-cell assignment using multiple-adversarial domain adaptation network with large-scale references. Cell Reports Methods. 3(9). 100577–100577. 6 indexed citations

Yang, Yang, Li Xu, Liangdong Sun, Peng Zhang, & Suzanne S. Farid. (2022). Machine learning application in personalised lung cancer recurrence and survivability prediction. Computational and Structural Biotechnology Journal. 20. 1811–1820. 59 indexed citations

Ge, Tao, Jing Zhang, Di Zhu, et al.. (2022). Surgical Options for Resectable Lung Adenosquamous Carcinoma: A Propensity Score-Matched Analysis. Frontiers in Oncology. 12. 878419–878419. 1 indexed citations

Li, Dianke, Huansha Yu, Junjie Hu, et al.. (2022). Comparative profiling of single-cell transcriptome reveals heterogeneity of tumor microenvironment between solid and acinar lung adenocarcinoma. Journal of Translational Medicine. 20(1). 423–423. 13 indexed citations

Tao, Ge, Liangdong Sun, Jie Dai, et al.. (2022). Development and validation of nomogram prognostic model for early-stage T1-2N0M0 small cell lung cancer: A population-based analysis. Frontiers in Oncology. 12. 921365–921365. 3 indexed citations

Ren, Pengfei, Xiaoying Shi, Xin Dong, et al.. (2022). SELINA: Single-Cell Assignment Using Multiple-Adversarial Domain Adaptation Network with Large-Scale References. SSRN Electronic Journal. 1 indexed citations

10.

Hu, Junjie, Huansha Yu, Liangdong Sun, et al.. (2021). Identification of an Individualized Metabolism Prognostic Signature and Related Therapy Regimens in Early Stage Lung Adenocarcinoma. Frontiers in Oncology. 11. 650853–650853. 8 indexed citations

11.

Sun, Dongqing, Jin Wang, Ya Han, et al.. (2020). TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment. Nucleic Acids Research. 49(D1). D1420–D1430. 689 indexed citations breakdown →

12.

Sun, Liangdong, Gening Jiang, Diego González-Rivas, & Peng Zhang. (2020). An individualized immune prognostic signature in lung adenocarcinoma. Cancer Cell International. 20(1). 156–156. 6 indexed citations

13.

Sun, Liangdong, Jie Dai, Yan Chen, et al.. (2020). Pulmonary Sarcomatoid Carcinoma: Experience From SEER Database and Shanghai Pulmonary Hospital. The Annals of Thoracic Surgery. 110(2). 406–413. 30 indexed citations

14.

Sun, Liangdong, Jie Dai, Xujun Wang, et al.. (2019). Pulmonary carcinosarcoma: analysis from the Surveillance, Epidemiology and End Results database. Interactive Cardiovascular and Thoracic Surgery. 30(1). 4–10. 10 indexed citations

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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