Xinping Lv

404 citations
19 papers · 300 · h-index 11

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 6
    • IL-33, ST2, and ILC Pathways 4
    • Immune Response and Inflammation 3
    • Cancer Immunotherapy and Biomarkers 3

Xinping Lv

18 papers receiving 299 citations

Peers

Xinping Lv
Comparison fields: 5 of 61
  • Immunology 135
  • Cancer Research 63
  • Oncology 60
  • Genetics 19
  • Rheumatology 22
Replace Yamato Tanabe with:
Yamato Tanabe Japan
Hossein Saeedi Iran
Azeem Sharda United States
Xupeng Chai China
Angela Halfmann Austria
Hamid Mohammadi United States
Haochen Mou China
Xinping Lv relative to Yamato Tanabe Japan Yamato Tanabe's profile →
Citations per field
00.5×1.5×1.9×
Yamato Tanabe · 1×
Citations per year

Countries citing papers authored by Xinping Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xinping Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201868
2 201832
3 202326
4 202125
5 202024
6 202216
7 201916
8 202016
9 202413
10 201113
11 202112
12 201810
13 20199
14 20208
15 20236
16 20194
17 20221
18 20251
19 20260

About Xinping Lv

Xinping Lv is a scholar working on Immunology, Oncology, Surgery, Molecular Biology and Cancer Research, having authored 19 papers that have together received 300 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (6 papers), IL-33, ST2, and ILC Pathways (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Eosinophilic Esophagitis (3 papers), Immune Response and Inflammation (3 papers), Circular RNAs in diseases (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Immunology (135 citations), Cancer Research (63 citations), Oncology (60 citations), Genetics (19 citations) and Rheumatology (22 citations). Xinping Lv has collaborated with scholars based in China, United States and France. Frequent co-authors include Jingtao Chen, Ning Yang, Shan Zhu, Jing Wu, Yuan Qiao, Yongjun Liu, Shan Zhu, Jiuwei Cui, Yong-Jun Liu and Shengxian Li. Their work appears in journals such as Journal of Immunology Research, Cellular and Molecular Immunology, Frontiers in Immunology, Pharmacological Research and Cell Reports.

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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