Sha Lv

565 citations
34 papers · 402 · h-index 10

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Angiogenesis and VEGF in Cancer 2
    • Inflammasome and immune disorders 2
    • Fungal Infections and Studies 6
    • Nail Diseases and Treatments 3
    • Mycobacterium research and diagnosis 2

Sha Lv

30 papers receiving 397 citations

Peers

Sha Lv
Comparison fields: 5 of 89
  • Environmental Engineering 53
  • Civil and Structural Engineering 77
  • Cancer Research 42
  • Building and Construction 27
  • Immunology 37
Replace Yongxing Chen with:
Yongxing Chen China
Zhenxin Wang China
Zhixin Huang China
Jiangang Sun China
Kevin Lamote Belgium
Ryota Inoue Japan
Mengmeng Zhou China
Wenwen Wang China
Keke Wang China
Sha Lv relative to Yongxing Chen China Yongxing Chen's profile →
Citations per field
00.5×
Yongxing Chen · 1×
Citations per year

Countries citing papers authored by Sha Lv

Since Specialization
Citations

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

Fields of papers citing papers by Sha Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202295
2 201983
3 201432
4 202325
5 202020
6 201919
7 202116
8 201515
9 202211
10 20149
11 20219
12 20147
13 20157
14 20256
15 20166
16 20235
17 20245
18 20245
19 20214
20 20213

About Sha Lv

Sha Lv is a scholar working on Molecular Biology, Epidemiology, Electrical and Electronic Engineering, Infectious Diseases and Small Animals, having authored 34 papers that have together received 402 indexed citations. Recurring topics across this work include Fungal Infections and Studies (6 papers), Nail Diseases and Treatments (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Mycobacterium research and diagnosis (2 papers), Inflammasome and immune disorders (2 papers) and Infectious Diseases and Mycology (2 papers). The work is most often cited by research in Environmental Engineering (53 citations), Civil and Structural Engineering (77 citations), Cancer Research (42 citations), Building and Construction (27 citations) and Immunology (37 citations). Sha Lv has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fuqiu Li, Fen‐Fang Hong, Haibin Kuang, Xiaoyu Liang, Chentao Zhang, Tao Li, Shu‐Long Yang, Meng Yang, Haoyang Sun and Bin Li. Their work appears in journals such as Scientific Reports, BMC Infectious Diseases, Annals of Medicine, Ophthalmic Research and Inflammation Research.

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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