Hao Hu

3.7k total citations · 1 hit paper
86 papers, 2.4k citations indexed

About

Hao Hu is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Hao Hu has authored 86 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 14 papers in Physiology and 12 papers in Oncology. Recurrent topics in Hao Hu's work include Diabetes and associated disorders (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Hao Hu is often cited by papers focused on Diabetes and associated disorders (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Hao Hu collaborates with scholars based in China, United States and Canada. Hao Hu's co-authors include Emil R. Unanue, Xiaoxiao Wan, Pavel Zakharov, Peng Wu, Yue Tu, John B. Buse, Daniel J. Drucker, Lisa E. Porter, Brandon Walsh and Kristin Taylor and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Hao Hu

82 papers receiving 2.4k citations

Hit Papers

Microglia-mediated T cell infiltration drives neurodegene... 2023 2026 2024 2025 2023 50 100 150 200 250
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.

  1. Microglia-mediated T cell infiltration drives neurodegeneration in tauopathy
    2023 288 citations Xiaoying Chen, Maria Firulyova et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Hu China 24 874 529 325 320 318 86 2.4k
Chiara Bolego Italy 31 810 0.9× 530 1.0× 315 1.0× 555 1.7× 368 1.2× 83 2.9k
Steven J. Forrester United States 16 1.4k 1.5× 321 0.6× 282 0.9× 419 1.3× 423 1.3× 22 3.4k
Guanjie Chen United States 32 796 0.9× 315 0.6× 197 0.6× 192 0.6× 285 0.9× 115 2.9k
Alessandro Villa Italy 25 812 0.9× 263 0.5× 230 0.7× 446 1.4× 623 2.0× 71 3.1k
Wan Huang China 30 1.2k 1.3× 387 0.7× 281 0.9× 382 1.2× 668 2.1× 95 3.0k
Yi Chu United States 36 901 1.0× 231 0.4× 303 0.9× 345 1.1× 750 2.4× 79 3.0k
Peng Gao China 27 742 0.8× 226 0.4× 270 0.8× 194 0.6× 645 2.0× 82 2.5k

Countries citing papers authored by Hao Hu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Hu

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

All Works

20 of 20 papers shown
1.
Feng, Xiang, et al.. (2025). Clinical Indicator Analysis. Spine. 51(4). E112–E116.
2.
Wang, Lintao, Hao Hu, He‐Ying Hu, et al.. (2025). Associations among Angiotensin-Converting Enzyme, Neuroinflammation, and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease in Non-Dementia Adults. Neurotoxicity Research. 43(2). 20–20. 2 indexed citations
3.
4.
Hu, Hao, Anthony N. Vomund, Neetu Srivastava, et al.. (2024). Crinophagic granules in pancreatic β cells contribute to mouse autoimmune diabetes by diversifying pathogenic epitope repertoire. Nature Communications. 15(1). 8318–8318. 2 indexed citations
5.
Hu, Hao, Liang Qin, Lulu Chen, et al.. (2024). 4-Aminoazobenzene: A novel negative ion matrix for enhanced MALDI tissue imaging of metabolites. Chinese Chemical Letters. 35(11). 109624–109624. 3 indexed citations
6.
Yu, Dian, Liang Qin, Hao Hu, et al.. (2024). 2-Hydroxy-5-nitro-3-(trifluoromethyl)pyridine as a Novel Matrix for Enhanced MALDI Imaging of Tissue Metabolites. Analytical Chemistry. 96(13). 5160–5169. 7 indexed citations
7.
8.
Ding, Lanlin, et al.. (2023). Associations of Body-Roundness Index and Sarcopenia with Cardiovascular Disease among Middle-Aged and Older Adults: Findings from CHARLS. The journal of nutrition health & aging. 27(11). 953–959. 34 indexed citations
9.
Liu, Haiqiang, Weiwei Ma, Liang Qin, et al.. (2023). High‐throughput MALDI‐MSI metabolite analysis of plant tissue microarrays. Plant Biotechnology Journal. 21(12). 2574–2584. 15 indexed citations
10.
Liu, Haiqiang, Liang Qin, Lulu Chen, et al.. (2023). Polyacrylamide gel as a new embedding medium for the enhancement of metabolite MALDI imaging. Chemical Communications. 59(26). 3842–3845. 5 indexed citations
11.
Hu, Hao, Haiqiang Liu, Liang Qin, et al.. (2023). 2,5-Dihydroxyterephthalic Acid: A Matrix for Improved Detection and Imaging of Amino Acids. Analytical Chemistry. 95(51). 18709–18718. 11 indexed citations
12.
Chen, Xiaoying, Maria Firulyova, Melissa Manis, et al.. (2023). Microglia-mediated T cell infiltration drives neurodegeneration in tauopathy. Nature. 615(7953). 668–677. 288 indexed citations breakdown →
13.
Wang, Xiaolei, et al.. (2021). Inhibition of miRNA-155 Alleviates High Glucose-Induced Podocyte Inflammation by Targeting SIRT1 in Diabetic Mice. Journal of Diabetes Research. 2021. 1–11. 18 indexed citations
14.
Yang, Yajie, Haibo Tang, Ying Cheng, et al.. (2021). FG-4592 alleviates radiation-induced intestinal injury by facilitating recovery of intestinal stem cell and reducing damage of intestinal epithelial. Toxicology Letters. 357. 1–10. 9 indexed citations
15.
Hu, He‐Ying, Lingzhi Ma, Hao Hu, et al.. (2021). Associations of Sleep Characteristics with Cerebrospinal Fluid sTREM2 in Cognitively Normal Older Adults: the CABLE Study. Neurotoxicity Research. 39(4). 1372–1380. 7 indexed citations
16.
17.
Hu, Hao, et al.. (2021). NEAT1/miR-101-dependent Up-regulation of DNA-PKcs Enhances Malignant Behaviors of Pancreatic Ductal Adenocarcinoma Cells. Journal of Cancer. 12(18). 5622–5632. 7 indexed citations
18.
Li, Shasha, Hao Hu, Zhiheng He, et al.. (2016). Fine-Tuning of the Kaposi’s Sarcoma-Associated Herpesvirus Life Cycle in Neighboring Cells through the RTA-JAG1-Notch Pathway. PLoS Pathogens. 12(10). e1005900–e1005900. 23 indexed citations
19.
Sun, Shougang, Jialiang Ma, Quan Zhang, et al.. (2015). Argonaute proteins in cardiac tissue contribute to the heart injury during viral myocarditis. Cardiovascular Pathology. 25(2). 120–126. 7 indexed citations
20.
Zeng, Dequan, Shengtao Zhou, Hao Hu, et al.. (2011). Proteomic Analyses of Gastric Cancer Cells Treated with Vesicular Stomatitis Virus Matrix Protein. The Protein Journal. 30(5). 308–317. 7 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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