Xiaohui Lv

491 total citations
10 papers, 223 citations indexed

About

Xiaohui Lv is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Xiaohui Lv has authored 10 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Xiaohui Lv's work include Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (3 papers) and Ion channel regulation and function (2 papers). Xiaohui Lv is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (3 papers) and Ion channel regulation and function (2 papers). Xiaohui Lv collaborates with scholars based in United States, China and United Kingdom. Xiaohui Lv's co-authors include Zixiu Xiang, P. Jeffrey Conn, Craig W. Lindsley, Jerri M. Rook, Jonathan W. Dickerson, Colleen M. Niswender, James Maksymetz, Charles F. Caskey, Xiaoyan Zhan and Jiro Kusunose and has published in prestigious journals such as Scientific Reports, Trends in Food Science & Technology and Neuropsychopharmacology.

In The Last Decade

Xiaohui Lv

10 papers receiving 221 citations

Peers

Xiaohui Lv
Comparison fields: 5 of 53
  • Molecular Biology 129
  • Cellular and Molecular Neuroscience 122
  • Biomedical Engineering 41
  • Cognitive Neuroscience 34
  • Radiology, Nuclear Medicine and Imaging 28
Replace Karine Martin with:
Karine Martin United Kingdom
Coralie Barrau France
Claudia Llinás del Torrent Spain
Jenifer A. Bradley United States
Stéphane Lehéricy France
Marina Scardigli Italy
Ming‐Che Kuo Taiwan
R.L. Fish United Kingdom
Saumya Nagar United States
María Auxiliadora Castillo Carballo Spain
Karine Martin United Kingdom View profile →
Citations per field, relative to Xiaohui Lv
Xiaohui Lv · 1×
Citations per year, relative to Xiaohui Lv
Xiaohui Lv · 1×

Countries citing papers authored by Xiaohui Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Lv. A scholar is included among the top collaborators of Xiaohui Lv based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaohui Lv. Xiaohui Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 5
2 21
3 8
4 49
5 10
6 8
7 19
8 58
9 29
10 16

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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2026