Liyan Lu

640 citations
36 papers · 428 · h-index 13

Impact in

Papers in

Liyan Lu

32 papers receiving 423 citations

Peers

Liyan Lu
Comparison fields: 5 of 63
  • Cognitive Neuroscience 143
  • Neurology 86
  • Otorhinolaryngology 19
  • Sensory Systems 21
  • Radiology, Nuclear Medicine and Imaging 81
Replace Akatsuki Wakayama with:
Akatsuki Wakayama Japan
Betty Jean France
Mahmoud Ashkanian Denmark
Malcolm R. Ing United States
Fu‐Qiang Gao Canada
Saeedeh Mirbagheri United States
Philippe Noël Belgium
Shamseldeen Mahmoud United States
Eyesha Hashim Canada
Yamei Cheng United States
Liyan Lu relative to Akatsuki Wakayama Japan Akatsuki Wakayama's profile →
Citations per field
00.5×10.8×
Akatsuki Wakayama · 1×
Citations per year

Countries citing papers authored by Liyan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202053
2 201543
3 201635
4 202124
5 202022
6 202122
7 202121
8 202020
9 202019
10 201919
11 201919
12 201718
13 201813
14 201911
15 201611
16 20228
17 20178
18 20228
19 20147
20 20166

About Liyan Lu

Liyan Lu is a scholar working on Cognitive Neuroscience, Epidemiology, Neurology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 36 papers that have together received 428 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Traumatic Brain Injury Research (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Head and Neck Cancer Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Radiopharmaceutical Chemistry and Applications (1 paper), Lung Cancer Research Studies (1 paper) and Autopsy Techniques and Outcomes (1 paper). The work is most often cited by research in Cognitive Neuroscience (143 citations), Neurology (86 citations), Otorhinolaryngology (19 citations), Sensory Systems (21 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). Liyan Lu has collaborated with scholars based in China and United States. Frequent co-authors include Yu‐Chen Chen, Xindao Yin, Huiyou Chen, Wenbin Li, Peng Wang, Song’an Shang, Xiaoer Wei, Hong Zhang, Yuehua Li and Hankui Lu. Their work appears in journals such as The Journal of Headache and Pain, CNS Neuroscience & Therapeutics, Clinical Neuroradiology, Frontiers in Neuroscience and Journal of Craniofacial Surgery.

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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