Xi Liu

762 citations
69 papers · 482 · h-index 12

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 5
    • Hepatocellular Carcinoma Treatment and Prognosis 3

Xi Liu

61 papers receiving 472 citations

Peers

Xi Liu
Comparison fields: 5 of 104
  • Hepatology 45
  • Pathology and Forensic Medicine 56
  • Hematology 29
  • Applied Microbiology and Biotechnology 4
  • Cancer Research 21
Replace Yufan Wei with:
Yufan Wei China
Xiaotong Gao China
Junli Ma United States
Xiaoqiang Qi China
Shixin Zhao China
Kemal Levi United States
Jinghong Chen China
Hua Zhao China
Li Ai China
Xi Liu relative to Yufan Wei China Yufan Wei's profile →
Citations per field
00.5×2×4×6×8×9×
Yufan Wei · 1×
Citations per year

Countries citing papers authored by Xi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 202437
3 201631
4 202427
5 201926
6 202425
7 201820
8 202417
9 201314
10 202414
11 202012
12 202412
13 202311
14 202411
15 202411
16 202410
17 20249
18 20138
19 20217
20 20247

About Xi Liu

Xi Liu is a scholar working on Hematology, Hepatology, Pathology and Forensic Medicine, Industrial and Manufacturing Engineering and Mechanics of Materials, having authored 69 papers that have together received 482 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Electrocatalysts for Energy Conversion (2 papers), GNSS positioning and interference (2 papers), Bacteriophages and microbial interactions (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Biosensors and Analytical Detection (2 papers) and Fiber-reinforced polymer composites (2 papers). The work is most often cited by research in Hepatology (45 citations), Pathology and Forensic Medicine (56 citations), Hematology (29 citations), Applied Microbiology and Biotechnology (4 citations) and Cancer Research (21 citations). Xi Liu has collaborated with scholars based in China, Iraq and United States. Frequent co-authors include Weiwei Yi, Bo Liu, Pu Zhao, Jiwen Cheng, Jiangbo Liu, Wenjia Zhang, Yundong Zhou, Yifeng Ding, Heng Zou and Qiyue Yang. Their work appears in journals such as Frontiers in Medicine, ACS Applied Materials & Interfaces, Remote Sensing, Fatigue & Fracture of Engineering Materials & Structures and BMC Cancer.

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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