Duanchen Sun

1.7k total citations · 1 hit paper
21 papers, 647 citations indexed

About

Duanchen Sun is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Duanchen Sun has authored 21 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Duanchen Sun's work include Single-cell and spatial transcriptomics (6 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (6 papers). Duanchen Sun is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (6 papers). Duanchen Sun collaborates with scholars based in China, United States and United Kingdom. Duanchen Sun's co-authors include Zheng Xia, Andrew C. Adey, Ling‐Yun Wu, Pepper Schedin, Alexey V. Danilov, Joshi J. Alumkal, David Z. Qian, Amy E. Moran, Xiangnan Guan and Mu‐Shui Dai and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Bioinformatics.

In The Last Decade

Duanchen Sun

18 papers receiving 641 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.

Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data

2021 234 citations Duanchen Sun, Xiangnan Guan et al. Nature Biotechnology profile →

Peers

Duanchen Sun

MB

CR

ONCOL

IMMUN

PRM

Tatsiana Aneichyk Austria

Yunuo Mao China

Jonathan V. Nguyen United States

David J. Konieczkowski United States

Victoria L. Bridgeman United Kingdom

Jayson Harshbarger Japan

Priyanka Chakraborty India

Fulong Yu China

Fabiana Lüönd Switzerland

Jennifer H. Milbank United States

Tatsiana Aneichyk Austria

Duanchen Sun

411 ×0.9

MB

235 ×1.2

CR

209 ×1.5

ONCOL

161 ×1.4

IMMUN

210 ×1.9

PRM

Citations per year, relative to Duanchen Sun Duanchen Sun (= 1×) peers Tatsiana Aneichyk

Countries citing papers authored by Duanchen Sun

Since Specialization

Citations

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

Fields of papers citing papers by Duanchen Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duanchen Sun

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sun, Duanchen, et al.. (2025). PGDTA: Predicting Drug-Target Affinity Using Three-Dimensional Structure of Protein Pocket and Graph Neural Network. PubMed. 22(6). 2377–2386.

2.

Pan, Jieyi, Yuan Fan, Jiadong Ji, et al.. (2025). Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning. Advanced Science. 13(9). e18277–e18277.

3.

Cao, Yuqing, et al.. (2025). Enhancing Spatial Transcriptomics via Spatially Constrained Matrix Decomposition with EDGES. Advanced Science. 12(42). e08346–e08346. 1 indexed citations

4.

Hou, Zhichao, et al.. (2024). Incorporating network diffusion and peak location information for better single-cell ATAC-seq data analysis. Briefings in Bioinformatics. 25(2).

5.

Fan, Yuan, et al.. (2024). Reverse network diffusion to remove indirect noise for better inference of gene regulatory networks. Bioinformatics. 40(7). 1 indexed citations

6.

Sun, Duanchen, et al.. (2023). Network Refinement: Denoising complex networks for better community detection. Physica A Statistical Mechanics and its Applications. 617. 128681–128681. 5 indexed citations

7.

Sun, Chenxi, Duanchen Sun, & Zhi‐Ping Liu. (2023). Detecting Autism Spectrum Disorder from Functional Magnetic Resonance Imaging Data with an Ensemble Machine Learning Method. 35. 13–20. 1 indexed citations

8.

Xu, Shiyu, et al.. (2023). ActivePPI: quantifying protein–protein interaction network activity with Markov random fields. Bioinformatics. 39(9). 3 indexed citations

9.

Sun, Duanchen, Daniel J. Coleman, Tingting Liu, et al.. (2023). CDK9 inhibition induces epigenetic reprogramming revealing strategies to circumvent resistance in lymphoma. Molecular Cancer. 22(1). 64–64. 23 indexed citations

10.

Abrego, Jaime, Chet Oon, Xiao Xu, et al.. (2022). A Cancer Cell–Intrinsic GOT2–PPARδ Axis Suppresses Antitumor Immunity. Cancer Discovery. 12(10). 2414–2433. 34 indexed citations

11.

Liu, Tingting, Duanchen Sun, Xiaoguang Wang, et al.. (2021). Pharmacologic Targeting of Mcl-1 Induces Mitochondrial Dysfunction and Apoptosis in B-Cell Lymphoma Cells in a TP53- and BAX- Dependent Manner. Clinical Cancer Research. 27(17). 4910–4922. 34 indexed citations

12.

Sun, Duanchen, Xiangnan Guan, Amy E. Moran, et al.. (2021). Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data. Nature Biotechnology. 40(4). 527–538. 234 indexed citations breakdown →

13.

Jindal, Sonali, Nathan D. Pennock, Duanchen Sun, et al.. (2021). Postpartum breast cancer has a distinct molecular profile that predicts poor outcomes. Nature Communications. 12(1). 6341–6341. 21 indexed citations

14.

Guo, Qiuchen, Duanchen Sun, Alexander Barrett, et al.. (2021). Mammary collagen is under reproductive control with implications for breast cancer. Matrix Biology. 105. 104–126. 22 indexed citations

15.

Coleman, Daniel J., David A. Sampson, Archana Sehrawat, et al.. (2020). Alternative splicing of LSD1+8a in neuroendocrine prostate cancer is mediated by SRRM4. Neoplasia. 22(6). 253–262. 24 indexed citations

16.

Pennock, Nathan D., Sonali Jindal, Wesley Horton, et al.. (2019). RNA-seq from archival FFPE breast cancer samples: molecular pathway fidelity and novel discovery. BMC Medical Genomics. 12(1). 195–195. 36 indexed citations

17.

Coleman, Daniel J., Lina Gao, Jacob Schwartzman, et al.. (2019). BET bromodomain inhibition blocks the function of a critical AR-independent master regulator network in lethal prostate cancer. Oncogene. 38(28). 5658–5669. 21 indexed citations

18.

Sun, Duanchen, et al.. (2018). CEA: Combination-based gene set functional enrichment analysis. Scientific Reports. 8(1). 13085–13085. 4 indexed citations

19.

Mulqueen, Ryan M., Dmitry Pokholok, Steven Norberg, et al.. (2018). Highly scalable generation of DNA methylation profiles in single cells. Nature Biotechnology. 36(5). 428–431. 167 indexed citations

20.

Sun, Duanchen, Xianwen Ren, Eszter Ari, et al.. (2017). Discovering cooperative biomarkers for heterogeneous complex disease diagnoses. Briefings in Bioinformatics. 20(1). 89–101. 14 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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