Xiaojian Liu

1.3k citations
42 papers · 796 indexed · h-index 18
  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms 5
    • MicroRNA in disease regulation 5
    • Cytomegalovirus and herpesvirus research 7
    • Adipokines, Inflammation, and Metabolic Diseases 3
    • RNA Research and Splicing 5
    • RNA and protein synthesis mechanisms 4
    • CRISPR and Genetic Engineering 3
  • Parasitology top 10%
    • Adipose Tissue and Metabolism 5

Xiaojian Liu

38 papers receiving 786 citations

Peers

Xiaojian Liu
Comparison fields: 5 of 94
  • Aging 101
  • Cancer Research 135
  • Epidemiology 223
  • Molecular Biology 434
  • Parasitology 32
Replace Daniela Bakula with:
Daniela Bakula Denmark
Yingyu Chen China
Aditi U. Gurkar United States
Sara J. McGowan United States
Alison Forrester Italy
Wafa B'Chir France
Qun Lu China
Jingquan He China
Rie Kajino‐Sakamoto Japan
Xiaojian Liu relative to Daniela Bakula Denmark Daniela Bakula's profile →
Citations per field
00.5×2.7×
Daniela Bakula · 1×
Citations per year

Countries citing papers authored by Xiaojian Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojian Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20253
4 20250
5 20245
6 202325
7 202113
8 20206
9 20209
10 201918
11 201819
12 201852
13 201824
14 20176
15 20179
16 201751
17 201736
18 201452
19 201443
20
The changes of plasma urotensin II and adrenomedullin in chronic deart failure and the intervention studies with Shenfu injection
20091

About Xiaojian Liu

Xiaojian Liu is a scholar working on Aging, Cancer Research and Endocrine and Autonomic Systems, having authored 42 papers that have together received 796 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), MicroRNA in disease regulation (5 papers), Adipose Tissue and Metabolism (5 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Aging (101 citations), Cancer Research (135 citations) and Epidemiology (223 citations). Xiaojian Liu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Shi‐Qing Cai, Jiang‐An Yin, Qiurong Ding, Jie Yuan, Yuda Wei, Min‐Hua Luo, Shuang Li, Yan Qiu, Simon Rayner and Yongxu Zhao. Their work appears in journals such as Nature, Nucleic Acids Research and Circulation.

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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