Ming Hu

5.7k total citations · 2 hit papers
107 papers, 2.5k citations indexed

About

Ming Hu is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ming Hu has authored 107 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 40 papers in Ophthalmology and 34 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ming Hu's work include Genomics and Chromatin Dynamics (36 papers), Retinal Diseases and Treatments (35 papers) and Retinal Imaging and Analysis (28 papers). Ming Hu is often cited by papers focused on Genomics and Chromatin Dynamics (36 papers), Retinal Diseases and Treatments (35 papers) and Retinal Imaging and Analysis (28 papers). Ming Hu collaborates with scholars based in United States, China and Belgium. Ming Hu's co-authors include Justis P. Ehlers, Sunil K. Srivastava, Bing Ren, Miao Yu, Huichun Zhang, Armen Abnousi, Jie Xu, Rong Hu, Feng Yue and Yun Li and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ming Hu

101 papers receiving 2.5k 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.

The 3D Genome Browser: a web-based browser for visualizing 3D genome organization and long-range chromatin interactions

2018 314 citations Ming Hu et al. profile →
Promoter-proximal CTCF binding promotes distal enhancer-dependent gene activation

2021 184 citations Naoki Kubo, Haruhiko Ishii et al. Nature Structural & Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Hu United States	24	1.5k	542	479	282	212	107	2.5k
Shaomei Wang China	26	2.3k 1.6×	752 1.4×	551 1.2×	217 0.8×	29 0.1×	98	3.1k
Lihui Luo China	24	302 0.2×	761 1.4×	1.3k 2.7×	78 0.3×	119 0.6×	88	3.6k
Chang Luo China	25	575 0.4×	564 1.0×	180 0.4×	55 0.2×	131 0.6×	51	1.9k
Minhua Wang United States	20	604 0.4×	421 0.8×	85 0.2×	39 0.1×	72 0.3×	95	2.0k
Xiaomin Zeng China	28	312 0.2×	144 0.3×	182 0.4×	60 0.2×	163 0.8×	138	2.4k
Yunjia Liu China	25	559 0.4×	237 0.4×	30 0.1×	62 0.2×	207 1.0×	106	1.6k
Dan Cao China	21	286 0.2×	786 1.5×	631 1.3×	69 0.2×	83 0.4×	114	1.5k
Zhi Yang China	18	1.0k 0.7×	60 0.1×	52 0.1×	177 0.6×	596 2.8×	72	2.5k
Yiding Li China	20	262 0.2×	79 0.1×	100 0.2×	31 0.1×	101 0.5×	55	1.1k
Rui Bi China	34	1.6k 1.1×	25 0.0×	206 0.4×	295 1.0×	646 3.0×	184	3.6k

Countries citing papers authored by Ming Hu

Since Specialization

Citations

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

Fields of papers citing papers by Ming Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Hu

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

Qiu, Shi, et al.. (2025). MCAMamba: Multilevel Cross-Modal Attention-Guided State-Space Model for Multisource Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–19.

Lee, Lindsay, Shreya Mishra, Alexandra Bortnick, et al.. (2024). Nuclear morphology is shaped by loop-extrusion programs. Nature. 627(8002). 196–203. 14 indexed citations

Lee, Lindsay, Hongyu Yu, Chenxu Zhu, et al.. (2023). SnapFISH: a computational pipeline to identify chromatin loops from multiplexed DNA FISH data. Nature Communications. 14(1). 4873–4873. 5 indexed citations

Lee, Lindsay, Miao Yu, Xiaoqi Li, et al.. (2023). SnapHiC-D: a computational pipeline to identify differential chromatin contacts from single-cell Hi-C data. Briefings in Bioinformatics. 24(5). 4 indexed citations

Hu, Xiaohua, Xiaoping Wu, Kalen Berry, et al.. (2023). Nuclear condensates of YAP fusion proteins alter transcription to drive ependymoma tumourigenesis. Nature Cell Biology. 25(2). 323–336. 36 indexed citations

Lee, Lindsay, Hanbin Lu, J. Andrés Valderrama, et al.. (2023). Enhancer-instructed epigenetic landscape and chromatin compartmentalization dictate a primary antibody repertoire protective against specific bacterial pathogens. Nature Immunology. 24(2). 320–336. 13 indexed citations

Hu, Ming, Liang Cheng, John A. Wrobel, et al.. (2022). TWO-SIGMA-G: a new competitive gene set testing framework for scRNA-seq data accounting for inter-gene and cell–cell correlation. Briefings in Bioinformatics. 23(3). 3 indexed citations

Wen, Jia, Quan Sun, Yuchen Yang, et al.. (2022). Super interactive promoters provide insight into cell type-specific regulatory networks in blood lineage cell types. PLoS Genetics. 18(1). e1009984–e1009984. 3 indexed citations

Huh, Ruth, Cheynna Crowley, Jia Wen, et al.. (2022). THUNDER: A reference-free deconvolution method to infer cell type proportions from bulk Hi-C data. PLoS Genetics. 18(3). e1010102–e1010102. 8 indexed citations

10.

Yu, Miao, Armen Abnousi, Yanxiao Zhang, et al.. (2021). SnapHiC: a computational pipeline to identify chromatin loops from single-cell Hi-C data. Nature Methods. 18(9). 1056–1059. 49 indexed citations

11.

Huang, Hui, Quan Zhu, Yuanyuan Han, et al.. (2021). CTCF mediates dosage- and sequence-context-dependent transcriptional insulation by forming local chromatin domains. Nature Genetics. 53(7). 1064–1074. 104 indexed citations

12.

Kubo, Naoki, Haruhiko Ishii, Xiong Xiong, et al.. (2021). Promoter-proximal CTCF binding promotes distal enhancer-dependent gene activation. Nature Structural & Molecular Biology. 28(2). 152–161. 184 indexed citations breakdown →

13.

Ypsilanti, Athéna R., Kartik Pattabiraman, Rinaldo Catta-Preta, et al.. (2021). Transcriptional network orchestrating regional patterning of cortical progenitors. Proceedings of the National Academy of Sciences. 118(51). 27 indexed citations

14.

Martin, Alison, Joseph R. Abraham, Charles C. Wykoff, et al.. (2021). Correlation of Intraocular Cytokine Expression with Quantitative Ultra-widefield Fluorescein Angiographic Features in the IMAGINE Retinal Vein Occlusion Study. Investigative Ophthalmology & Visual Science. 62(8). 2169–2169. 1 indexed citations

15.

Ehlers, Justis P., Atsuro Uchida, Duriye Damla Sevgi, et al.. (2020). Retinal Fluid Volatility Associated With Interval Tolerance and Visual Outcomes in Diabetic Macular Edema in the VISTA Phase III Trial. American Journal of Ophthalmology. 224. 217–227. 8 indexed citations

16.

Abraham, Joseph R., Charles C. Wykoff, Sruthi Arepalli, et al.. (2020). Longitudinal Changes in Aqueous Humor Cytokines in Diabetic Macular Edema Treated with Anti-Vascular Endothelial Growth Factor Therapy. Investigative Ophthalmology & Visual Science. 61(7). 276–276. 1 indexed citations

17.

Abraham, Joseph R., Charles C. Wykoff, Leina Lunasco, et al.. (2020). Association of Aqueous Cytokine Profile and Extracted OCT Features in Diabetic Macular Edema: Assessment of the Anatomic-Biologic Bridge. Investigative Ophthalmology & Visual Science. 61(7). 40–40. 1 indexed citations

18.

Srivastava, Sunil K., Peter K. Kaiser, Ming Hu, et al.. (2019). Comparative Evaluation of Surgical Outcomes of Intraoperative OCT-guided and Conventional Surgery for Epiretinal Membrane Peeling from the DISCOVER Study. Investigative Ophthalmology & Visual Science. 60(9). 1872–1872. 2 indexed citations

19.

Figueiredo, Natália, Sunil K. Srivastava, Ming Hu, Jamie Reese, & Justis P. Ehlers. (2019). Correlation of Quantitative Ultra-Widefield Angiographic Metrics and Diabetic Retinopathy Severity Score Improvement Following Aflibercept Therapy in the PERMEATE Study. Investigative Ophthalmology & Visual Science. 60(9). 5336–5336. 2 indexed citations

20.

Zhang, Rongrong, Ming Hu, Yu Zhu, et al.. (2018). Inferring Spatial Organization of Individual Topologically Associated Domains via Piecewise Helical Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(2). 647–656. 2 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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