Xiaoming Liu

11.3k citations
276 papers · 8.2k indexed · h-index 46
    • MicroRNA in disease regulation 19
    • Wnt/β-catenin signaling in development and cancer 20
    • Heme Oxygenase-1 and Carbon Monoxide 18
    • Epigenetics and DNA Methylation 15
    • Circular RNAs in diseases 14
  • Immunology top 2%
    • Neonatal Respiratory Health Research 38
    • Cystic Fibrosis Research Advances 13
  • Genetics top 2%
    • Virus-based gene therapy research 13

Xiaoming Liu

267 papers receiving 8.0k citations

Peers

Xiaoming Liu
Comparison fields: 5 of 157
  • Cancer Research 1.1k
  • Molecular Biology 4.3k
  • Immunology 1.1k
  • Pulmonary and Respiratory Medicine 1.6k
  • Genetics 1.2k
Replace Yi Wang with:
Yi Wang China
Derek A. Mann United Kingdom
Na Xie China
Saeid Ghavami Canada
Paola Matarrese Italy
Jae‐Hong Kim South Korea
John Morser United States
Giuliano Ramadori Germany
David W. H. Riches United States
Chia‐Tung Shun Taiwan
Xiaoming Liu relative to Yi Wang China Yi Wang's profile →
Citations per field
00.5×1.5×2.3×
Yi Wang · 1×
Citations per year

Countries citing papers authored by Xiaoming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20244
3 20237
4 20231
5 20233
6 20235
7 20232
8 202114
9 202129
10 202011
11 20200
12 201946
13 20194
14 201790
15 201610
16
[Study on co-infection of tick-borne pathogens in Ixodes persulcatus in Charles Hilary, Xinjiang Uygur autonomous region].
20151
17 201539
18 201410
19 201324
20 201137

About Xiaoming Liu

Xiaoming Liu is a scholar working on Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 276 papers that have together received 8.2k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (38 papers), Wnt/β-catenin signaling in development and cancer (20 papers), MicroRNA in disease regulation (19 papers), Heme Oxygenase-1 and Carbon Monoxide (18 papers), Epigenetics and DNA Methylation (15 papers), Circular RNAs in diseases (14 papers), Cystic Fibrosis Research Advances (13 papers) and Virus-based gene therapy research (13 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (4.3k citations) and Immunology (1.1k citations). Xiaoming Liu has collaborated with scholars based in China, United States and Panama. Frequent co-authors include John F. Engelhardt, William Durante, Kelly J. Peyton, Yujiong Wang, Jun Wei, Meihui Luo, Jiali Yang, Andrew I. Schafer, Arnold Berk and William C. Cho. Their work appears in journals such as Molecular Immunology, The FASEB Journal, Oxidative Medicine and Cellular Longevity, Human Gene Therapy and Molecular Therapy.

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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