Lei Song

929 citations
55 papers · 540 · h-index 15

Impact in

Papers in

    • Intracerebral and Subarachnoid Hemorrhage Research 7
    • Neurosurgical Procedures and Complications 5

Lei Song

49 papers receiving 532 citations

Peers

Lei Song
Comparison fields: 5 of 118
  • Transplantation 32
  • Health Informatics 14
  • Animal Science and Zoology 83
  • Orthopedics and Sports Medicine 26
  • Radiology, Nuclear Medicine and Imaging 68
Replace Dong Jin Park with:
Dong Jin Park South Korea
Jiasheng Wang China
Lidong Wang China
Shuyi Zhou China
Tianqi Wang China
Jun Liao China
Jun Du China
M. Silvestri Italy
Jingjing Chen China
Seojin Kim South Korea
Lei Song relative to Dong Jin Park South Korea Dong Jin Park's profile →
Citations per field
00.5×10×20×27.7×
Dong Jin Park · 1×
Citations per year

Countries citing papers authored by Lei Song

Since Specialization
Citations

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

Fields of papers citing papers by Lei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201740
2 201938
3 202134
4 201732
5 202231
6 201430
7 202125
8 201525
9 201624
10 202223
11 202321
12 202021
13 201521
14 202319
15 201617
16 202011
17 201910
18 20239
19 20218
20 20227

About Lei Song

Lei Song is a scholar working on Molecular Biology, Neurology, Epidemiology, Biomedical Engineering and Surgery, having authored 55 papers that have together received 540 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (7 papers), Acute Ischemic Stroke Management (6 papers), COVID-19 Clinical Research Studies (5 papers), Renal Transplantation Outcomes and Treatments (5 papers), Neurosurgical Procedures and Complications (5 papers), Meat and Animal Product Quality (4 papers), Medical Image Segmentation Techniques (4 papers) and Medical Imaging and Analysis (4 papers). The work is most often cited by research in Transplantation (32 citations), Health Informatics (14 citations), Animal Science and Zoology (83 citations), Orthopedics and Sports Medicine (26 citations) and Radiology, Nuclear Medicine and Imaging (68 citations). Lei Song has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Guixia Liu, Guanghong Zhou, Yun Jiang, Feng Gao, Tian Gao, Longkai Peng, Xin Zhang, Xubiao Xie, Jiaolong Li and Chunyan Wang. Their work appears in journals such as Medicine, Applied Intelligence, International Journal of Food Science & Technology, World Neurosurgery and International Journal of Stroke.

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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