Xiumei Liang

530 citations
37 papers · 271 · h-index 10

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Xiumei Liang

34 papers receiving 265 citations

Peers

Xiumei Liang
Comparison fields: 5 of 51
  • Hepatology 88
  • Cancer Research 34
  • Computational Mathematics 1
  • Radiology, Nuclear Medicine and Imaging 32
  • Epidemiology 39
Replace Lisha Lai with:
Lisha Lai China
Ya‐Wen Hung Taiwan
Delia Campanella Italy
Jochen Decaestecker Belgium
Léonie Petitclerc Netherlands
Claire Kelly United Kingdom
David A. Klibansky United States
Zhi-Wei Zhou China
Yung‐Chih Chou Taiwan
Simon Yu Tian Canada
Xiumei Liang relative to Lisha Lai China Lisha Lai's profile →
Citations per field
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Lisha Lai · 1×
Citations per year

Countries citing papers authored by Xiumei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiumei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201733
2 202132
3 202319
4 202216
5 202014
6 202012
7 202112
8 202312
9 202111
10 202210
11 20229
12 20248
13 20247
14 20197
15 20237
16 20227
17 20205
18 20205
19 20235
20 20244

About Xiumei Liang

Xiumei Liang is a scholar working on Molecular Biology, Hepatology, Cancer Research, Surgery and Oncology, having authored 37 papers that have together received 271 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), RNA modifications and cancer (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Hepatitis B Virus Studies (3 papers), Ferroptosis and cancer prognosis (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Hepatology (88 citations), Cancer Research (34 citations), Computational Mathematics (1 citation), Radiology, Nuclear Medicine and Imaging (32 citations) and Epidemiology (39 citations). Xiumei Liang has collaborated with scholars based in China and United States. Frequent co-authors include Jian‐Hong Zhong, Yang Xu, Zihan Zhou, Ding Cao, Rong‐Rui Huo, Liang Ma, Xianguo Zhou, Hongping Yu, Kang Chen and Yanji Jiang. Their work appears in journals such as Frontiers in Oncology, Journal of Cancer, Cancer Medicine, Archives of Toxicology 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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