Hao Wu

13.0k citations
134 papers · 9.3k indexed · 11 hit papers · h-index 42

Hao Wu

129 papers receiving 9.3k citations

Hit Papers

Comprehensive single-cell transcripti...122201720262020202350010001.5k

Peers

Hao Wu
Comparison fields: 5 of 149
  • Rehabilitation 1.6k
  • Nephrology 1.4k
  • Biomaterials 1.7k
  • Molecular Medicine 527
  • Transplantation 182
Replace Alexis Desmoulière with:
Alexis Desmoulière France
Jian Xiao China
Brigitte Vollmar Germany
Yanfeng Wang China
Nikolaos G. Frangogiannis United States
Bruce N. Cronstein United States
Shabbir Moochhala Singapore
Jinmin Zhao China
Jie Li China
Guohui Liu China
Hao Wu relative to Alexis Desmoulière France Alexis Desmoulière's profile →
Citations per field
00.5×6.8×
Alexis Desmoulière · 1×
Citations per year

Countries citing papers authored by Hao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hao Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hao Wu Line = papers co-authored together Hao Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20240
4 20240
5 202425
6 202410
7 2022100
8 202252
9
Single cell transcriptional and chromatin accessibility profiling redefine cellular heterogeneity in the adult human kidneybreakdown →
2021259
10
Hypoxia adipose stem cell-derived exosomes promote high-quality healing of diabetic wound involves activation of PI3K/Akt pathwaysbreakdown →
2021212
11 20215
12
Cell profiling of mouse acute kidney injury reveals conserved cellular responses to injurybreakdown →
2020354
13 202073
14 202021
15 202051
16 201962
17 201966
18 20168
19 20137
20 201284

About Hao Wu

Hao Wu is a scholar working on Nephrology, Biological Psychiatry and Developmental Neuroscience, having authored 134 papers that have together received 9.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (24 papers), Renal and related cancers (24 papers), Chronic Kidney Disease and Diabetes (10 papers), Pluripotent Stem Cells Research (9 papers), Renal Diseases and Glomerulopathies (7 papers), Mesenchymal stem cell research (7 papers), Immune Response and Inflammation (7 papers) and Wound Healing and Treatments (6 papers). The work is most often cited by research in Rehabilitation (1.6k citations), Nephrology (1.4k citations) and Biomaterials (1.7k citations). Hao Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Benjamin D. Humphreys, Baolin Guo, Xin Zhao, X. Peter, Yuhei Kirita, Yusheng Qiu, Ruonan Dong, Kohei Uchimura, Erinn L. Donnelly and Yongping Liang. Their work appears in journals such as Nature Communications, Journal of the American Society of Nephrology, Proceedings of the National Academy of Sciences, Kidney International and Cell Metabolism.

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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