Aibin He

6.8k total citations
61 papers, 3.4k citations indexed

About

Aibin He is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Aibin He has authored 61 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Aibin He's work include Congenital heart defects research (17 papers), RNA modifications and cancer (16 papers) and Epigenetics and DNA Methylation (15 papers). Aibin He is often cited by papers focused on Congenital heart defects research (17 papers), RNA modifications and cancer (16 papers) and Epigenetics and DNA Methylation (15 papers). Aibin He collaborates with scholars based in China, United States and Taiwan. Aibin He's co-authors include William T. Pu, Qing Ma, Sek Won Kong, Pingzhu Zhou, Yongsheng Chang, Fude Fang, Nishith Gupta, Liuluan Zhu, Haiqing Xiong and Xianhong Yu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Aibin He

57 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aibin He China	32	2.9k	936	366	273	255	61	3.4k
Sarah De Val United Kingdom	20	2.6k 0.9×	356 0.4×	493 1.3×	241 0.9×	285 1.1×	34	3.1k
Kryn Stankunas United States	27	3.4k 1.2×	574 0.6×	388 1.1×	312 1.1×	411 1.6×	40	4.3k
Helle F. Jørgensen United Kingdom	27	3.8k 1.3×	540 0.6×	687 1.9×	218 0.8×	220 0.9×	41	4.9k
Daniel Bilbao United States	23	2.1k 0.7×	371 0.4×	168 0.5×	206 0.8×	121 0.5×	60	2.9k
Chulan Kwon United States	23	2.1k 0.8×	356 0.4×	205 0.6×	433 1.6×	183 0.7×	51	2.6k
Rajan Jain United States	29	2.2k 0.8×	218 0.2×	333 0.9×	306 1.1×	292 1.1×	61	3.4k
Petra Schwalie Switzerland	17	2.1k 0.7×	371 0.4×	471 1.3×	91 0.3×	315 1.2×	30	2.9k
Rory Johnson Switzerland	35	5.2k 1.8×	3.8k 4.0×	356 1.0×	166 0.6×	245 1.0×	58	5.9k
Jan Parker‐Thornburg United States	20	1.4k 0.5×	278 0.3×	420 1.1×	161 0.6×	125 0.5×	35	2.2k
Mathew J. Thayer United States	29	3.5k 1.2×	375 0.4×	624 1.7×	249 0.9×	80 0.3×	49	3.9k

Countries citing papers authored by Aibin He

Since Specialization

Citations

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

Fields of papers citing papers by Aibin He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aibin He

This figure shows the co-authorship network connecting the top 25 collaborators of Aibin He. A scholar is included among the top collaborators of Aibin He 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 Aibin He. Aibin He 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

Jiang, Meixi, Jingjing Qiu, Aibin He, et al.. (2025). Engineering TME-activated CD47-specific CAR macrophage via Arg1 promoter for safe and effective solid tumor immunotherapy. Journal for ImmunoTherapy of Cancer. 13(11). e012463–e012463.

Ye, Zixuan, Aibin He, Qingan Jia, et al.. (2024). An engineered α1β1 integrin-mediated FcγRI signaling component to control enhanced CAR macrophage activation and phagocytosis. Journal of Controlled Release. 377. 689–703. 32 indexed citations

Ma, Jian, et al.. (2024). Single-cell multiomics: a new frontier in drug research and development. SHILAP Revista de lepidopterología. 4.

Liu, Yaxi, et al.. (2024). Single-cell EpiChem jointly measures drug–chromatin binding and multimodal epigenome. Nature Methods. 21(9). 1624–1633. 5 indexed citations

Zhang, Youdong, Xin Li, Shu Gao, et al.. (2023). Genetic reporter for live tracing fluid flow forces during cell fate segregation in mouse blastocyst development. Cell stem cell. 30(8). 1110–1123.e9. 8 indexed citations

Lei, Zhi‐Xin, Haowei Meng, Lulu Liu, et al.. (2022). Mitochondrial base editor induces substantial nuclear off-target mutations. Nature. 606(7915). 804–811. 80 indexed citations

Nie, Lixiao, et al.. (2022). Enhancement in Seed Priming-Induced Starch Degradation of Rice Seed Under Chilling Stress via GA-Mediated α-Amylase Expression. Rice. 15(1). 19–19. 30 indexed citations

Zhang, Guangyu, Junjie Du, Di Liu, et al.. (2022). Pre-configuring chromatin architecture with histone modifications guides hematopoietic stem cell formation in mouse embryos. Nature Communications. 13(1). 346–346. 21 indexed citations

Li, Rui, Xing Wang, Xiaoyu Sun, et al.. (2020). Generation and validation of versatile inducible CRISPRi embryonic stem cell and mouse model. PLoS Biology. 18(11). e3000749–e3000749. 19 indexed citations

10.

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

11.

Wang, Qianhao, Haiqing Xiong, Shanshan Ai, et al.. (2019). CoBATCH for High-Throughput Single-Cell Epigenomic Profiling. Molecular Cell. 76(1). 206–216.e7. 155 indexed citations

12.

Ai, Shanshan, Haiqing Xiong, Yingjie Luo, et al.. (2019). Profiling chromatin states using single-cell itChIP-seq. Nature Cell Biology. 21(9). 1164–1172. 95 indexed citations

13.

Huang, Tianxiao, Li-Wa Shao, Yong Peng, et al.. (2018). N6-methyldeoxyadenine is a transgenerational epigenetic signal for mitochondrial stress adaptation. Nature Cell Biology. 21(3). 319–327. 126 indexed citations

14.

Lin, Zhiqiang, Hai-dong Guo, Yuan Cao, et al.. (2016). Acetylation of VGLL4 Regulates Hippo-YAP Signaling and Postnatal Cardiac Growth. Developmental Cell. 39(4). 466–479. 90 indexed citations

15.

Gao, Lu, Yu Hou, Cong‐Fei Xu, et al.. (2016). Chromatin-remodelling factor Brg1 regulates myocardial proliferation and regeneration in zebrafish. Nature Communications. 7(1). 13787–13787. 64 indexed citations

16.

Prendiville, Terence, Qing Ma, Zhiqiang Lin, et al.. (2014). Ultrasound-guided Transthoracic Intramyocardial Injection in Mice. Journal of Visualized Experiments. e51566–e51566. 13 indexed citations

17.

Zhou, Pingzhu, Yijing Zhang, Qing Ma, et al.. (2013). Interrogating translational efficiency and lineage-specific transcriptomes using ribosome affinity purification. Proceedings of the National Academy of Sciences. 110(38). 15395–15400. 98 indexed citations

18.

He, Aibin, Sek Won Kong, Qing Ma, & William T. Pu. (2011). Co-occupancy by multiple cardiac transcription factors identifies transcriptional enhancers active in heart. Proceedings of the National Academy of Sciences. 108(14). 5632–5637. 273 indexed citations

19.

Seok, Heeyoung, Mariko Tatsuguchi, Thomas E. Callis, et al.. (2011). miR-155 Inhibits Expression of the MEF2A Protein to Repress Skeletal Muscle Differentiation. Journal of Biological Chemistry. 286(41). 35339–35346. 81 indexed citations

20.

He, Aibin, Xiaojun Liu, Lizhong Liu, Yongsheng Chang, & Fude Fang. (2006). How many signals impinge on GLUT4 activation by insulin?. Cellular Signalling. 19(1). 1–7. 39 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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