Shaorui Hao

3.5k citations
18 papers · 487 · h-index 11

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Metabolomics and Mass Spectrometry Studies 2
    • Gut microbiota and health 2
    • Circular RNAs in diseases 2
    • Liver Disease and Transplantation 5
    • Liver physiology and pathology 2

Shaorui Hao

17 papers receiving 479 citations

Peers

Shaorui Hao
Comparison fields: 5 of 83
  • Hepatology 207
  • Genetics 99
  • Epidemiology 149
  • Pharmacology 37
  • Neurology 60
Replace Alfonso Amore with:
Alfonso Amore Italy
Monika Pazgan−Simon Poland
Masanori Furukawa Japan
Rui Perdigoto Portugal
Maurizio Soldini Italy
Rene Peleman United States
P. Wolf France
Ian Homer Y. Philippines
Carlos D. Minacapelli United States
Nicola Napoli Italy
Shaorui Hao relative to Alfonso Amore Italy Alfonso Amore's profile →
Citations per field
00.5×7.4×
Alfonso Amore · 1×
Citations per year

Countries citing papers authored by Shaorui Hao

Since Specialization
Citations

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

Fields of papers citing papers by Shaorui Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201292
2 201791
3 201675
4 201650
5
A serum metabonomic study on the difference between alcohol- and HBV-induced liver cirrhosis by ultraperformance liquid chromatography coupled to mass spectrometry plus quadrupole time-of-flight mass spectrometry.
201136
6 201528
7 201719
8 201819
9 202315
10 201913
11 201012
12 20219
13 20158
14 20118
15 20126
16 20233
17 20223
18 20220

About Shaorui Hao

Shaorui Hao is a scholar working on Molecular Biology, Hepatology, Epidemiology, Surgery and Genetics, having authored 18 papers that have together received 487 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (5 papers), Mesenchymal stem cell research (3 papers), Tryptophan and brain disorders (2 papers), Liver physiology and pathology (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Gut microbiota and health (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Hepatology (207 citations), Genetics (99 citations), Epidemiology (149 citations), Pharmacology (37 citations) and Neurology (60 citations). Shaorui Hao has collaborated with scholars based in China and United States. Frequent co-authors include Lanjuan Li, Jiajia Chen, Meifang Yang, Jiaojiao Xin, Hongcui Cao, Longyan Jiang, ­Jun Li­, Jie Wu, Xiaoxiao Chen and Xiaoqing Lu. Their work appears in journals such as Metabolomics, Liver International, Scientific Reports, Journal of Proteome Research and Journal of Affective Disorders.

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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