Xiaoxi Lv

2.3k citations
43 papers · 1.7k · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Endoplasmic Reticulum Stress and Disease

Papers in

Xiaoxi Lv

42 papers receiving 1.7k citations

Peers

Xiaoxi Lv
Comparison fields: 5 of 106
  • Cancer Research 296
  • Cell Biology 283
  • Immunology 276
  • Molecular Biology 897
  • Hepatology 97
Replace Wei Cui with:
Wei Cui United States
Stephan Singer Germany
Miguel Reina‐Campos United States
Jianghua Shao China
Min‐Bin Chen China
Christian D. Fingas Germany
Ying Jiang China
Honyin Chiu United States
Femke Heindryckx Sweden
Xiaoxi Lv relative to Wei Cui United States Wei Cui's profile →
Citations per field
00.5×1.7×
Wei Cui · 1×
Citations per year

Countries citing papers authored by Xiaoxi Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxi Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019162
2 2012141
3 2018134
4 2019132
5 2022100
6 201794
7 202190
8 202086
9 201349
10 201349
11 201847
12 201345
13 201943
14 201642
15 201941
16 202040
17 202132
18 202030
19 202127
20 201726

About Xiaoxi Lv

Xiaoxi Lv is a scholar working on Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (14 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune Response and Inflammation (3 papers), Neonatal Respiratory Health Research (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (296 citations), Cell Biology (283 citations), Immunology (276 citations), Molecular Biology (897 citations) and Hepatology (97 citations). Xiaoxi Lv has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fang Hua, Zhuowei Hu, Bing Cui, Jiaojiao Yu, Xiaowei Zhang, Shanshan Liu, Ke Li, Jinmei Yu, Shuang Shang and Bo Huang. Their work appears in journals such as Acta Pharmaceutica Sinica B, Advances in experimental medicine and biology, Nature Communications, Science Translational Medicine and Oncotarget.

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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