Song Lai

4.6k citations
82 papers · 3.5k indexed · h-index 30

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Advanced MRI Techniques and Applications
    • Advanced Neuroimaging Techniques and Applications
    • MRI in cancer diagnosis

Papers in

Song Lai

77 papers receiving 3.4k citations

Peers

Song Lai
Comparison fields: 5 of 129
  • Cognitive Neuroscience 1.4k
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Neurology 395
  • Psychiatry and Mental health 332
  • Experimental and Cognitive Psychology 232
Replace Bradley G. Goodyear with:
Bradley G. Goodyear Canada
Stefan Maderwald Germany
Cécile Grandin Belgium
Martina F. Callaghan United Kingdom
Vincent Perlbarg France
Patrick A. Turski United States
Josef Pfeuffer Germany
Atle Bjørnerud Norway
Irina Mader Germany
Stefan Skare Sweden
Song Lai relative to Bradley G. Goodyear Canada Bradley G. Goodyear's profile →
Citations per field
00.5×1.5×
Bradley G. Goodyear · 1×
Citations per year

Countries citing papers authored by Song Lai

Since Specialization
Citations

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

Fields of papers citing papers by Song Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20246
5 20241
6 20241
7 20242
8 202112
9 202126
10 201583
11 201578
12 201317
13 201152
14 200924
15 20082
16
(Gd-DOTA)2-KRAS PNA-peptide MRI contrast enhancement in AsPC1 pancreatic xenografts
20060
17 200524
18 199872
19 1998446
20 199641

About Song Lai

Song Lai is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Pharmacology, Cognitive Neuroscience and Computer Science Applications, having authored 82 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (24 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (20 papers), Musculoskeletal pain and rehabilitation (18 papers), Advanced Neuroimaging Techniques and Applications (17 papers), Functional Brain Connectivity Studies (12 papers), Pain Mechanisms and Treatments (10 papers), Medical Imaging Techniques and Applications (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Radiology, Nuclear Medicine and Imaging (1.6k citations), Neurology (395 citations), Psychiatry and Mental health (332 citations) and Experimental and Cognitive Psychology (232 citations). Song Lai has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Gary H. Glover, E. Mark Haacke, Vincent P. Clark, Randall R. Benson, Jürgen R. Reichenbach, Dmitriy A. Yablonskiy, Sean P. Fannon, Lance O. Bauer, Peter Hedera and Robert P. Friedland. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Pain, Journal of Magnetic Resonance Imaging, Human Brain Mapping and NeuroImage.

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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