Xia Lv

953 citations
25 papers · 777 · h-index 13

Impact in

    • Cholinesterase and Neurodegenerative Diseases
    • Pharmacogenetics and Drug Metabolism
  • Spectroscopy top 10%
    • Molecular Sensors and Ion Detection

Papers in

Xia Lv

23 papers receiving 772 citations

Peers

Xia Lv
Comparison fields: 5 of 87
  • Pharmacology 156
  • Pharmacology 72
  • Spectroscopy 130
  • Biochemistry 40
  • Microbiology 4
Replace John A. McCauley with:
John A. McCauley United States
Lawrence J. Wilson United States
Ingrid Choong United States
Wibke E. Diederich Germany
O.V. Gnedenko Russia
Roberto Raggiaschi Italy
Ziping Yang United States
Sean R. Marcsisin United States
Shaolong Zhang China
Yasien Sayed South Africa
Xia Lv relative to John A. McCauley United States John A. McCauley's profile →
Citations per field
00.5×3.6×
John A. McCauley · 1×
Citations per year

Countries citing papers authored by Xia Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xia Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014109
2 201597
3 201482
4 201481
5 202072
6 201468
7 201552
8 201649
9 201635
10 201635
11 201529
12 202120
13 202214
14 201710
15 20227
16 20184
17 20243
18 20183
19 20192
20 20242

About Xia Lv

Xia Lv is a scholar working on Pharmacology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Electrical and Electronic Engineering, having authored 25 papers that have together received 777 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (5 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Electrochemical sensors and biosensors (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Drilling and Well Engineering (2 papers), Oil and Gas Production Techniques (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Pharmacology (156 citations), Pharmacology (72 citations), Spectroscopy (130 citations), Biochemistry (40 citations) and Microbiology (4 citations). Xia Lv has collaborated with scholars based in China, India and Germany. Frequent co-authors include Guang‐Bo Ge, Ling Yang, Jie Hou, Jingnan Cui, Lei Feng, Zhaoming Liu, Jing Ning, Yun‐Feng Cao, Yinxin Zhang and Liying Cui. Their work appears in journals such as Biosensors and Bioelectronics, Frontiers in Medicine, Lara D. Veeken, Journal of Thoracic Oncology and Journal of Neuroimmunology.

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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