He-He Hu

1.7k citations
14 papers · 1.3k indexed · 1 hit paper · h-index 11

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

He-He Hu

14 papers receiving 1.3k citations

Hit Papers

New insights into TGF-β/Smad signaling in tissue fibrosis 2018 · 881 citations
8812018202620202023250500750

Peers

He-He Hu
Comparison fields: 5 of 103
  • Nephrology 173
  • Hepatology 80
  • Cancer Research 128
  • Pulmonary and Respiratory Medicine 273
  • Molecular Biology 554
Replace Nicholas J. Skill with:
Nicholas J. Skill United States
Yi Song China
Thomas Hock United States
Yaowen Fu China
Ayhan Özcan Türkiye
Yi‐Jen Peng Taiwan
Shaoyuan Cui China
Junhui Zhen China
Anna Meseguer Spain
He-He Hu relative to Nicholas J. Skill United States Nicholas J. Skill's profile →
Citations per field
00.5×4.0×
Nicholas J. Skill · 1×
Citations per year

Countries citing papers authored by He-He Hu

Since Specialization
Citations

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

Fields of papers citing papers by He-He Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside He-He Hu, 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 He-He Hu Line = papers co-authored together He-He Hu links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20243
2 202112
3 202116
4 202116
5 202013
6 202041
7 202034
8 2020135
9 202025
10 202028
11 20192
12
New insights into TGF-β/Smad signaling in tissue fibrosis
Hit paper breakdown →
2018881
13 2018109
14 20174

About He-He Hu

He-He Hu is a scholar working on Nephrology, Pharmacology, Pharmacology, Biochemistry and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Kidney Stones and Urolithiasis Treatments (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Selenium in Biological Systems (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Renal cell carcinoma treatment (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Nephrology (173 citations), Hepatology (80 citations), Cancer Research (128 citations), Pulmonary and Respiratory Medicine (273 citations) and Molecular Biology (554 citations). He-He Hu has collaborated with scholars based in China and United States. Frequent co-authors include Ying‐Yong Zhao, Gang Cao, Yanni Wang, Nosratola D. Vaziri, Dan‐Qian Chen, Ya‐Long Feng, Xiaqing Wu, Lin Chen, Yuanyuan Chen and Ming Wang. Their work appears in journals such as Phytomedicine, Biomarker Research, Scientific Reports, Journal of Hepatology and Food Chemistry.

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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