Lei Shi

5.5k citations
147 papers · 4.2k indexed · 1 hit paper · h-index 34

Lei Shi

143 papers receiving 4.2k citations

Hit Papers

Neonatal Hypoxia Ischaemia: Mechanisms, Models, and Thera...254201720262020202350100150200250

Peers

Lei Shi
Comparison fields: 5 of 162
  • Pollution 954
  • Industrial and Manufacturing Engineering 511
  • Developmental Neuroscience 224
  • Cellular and Molecular Neuroscience 553
  • Health, Toxicology and Mutagenesis 413
Replace Min Jiang with:
Min Jiang China
Guodong Cao China
Xiaoyan Liu China
Remco H.S. Westerink Netherlands
Chenggang Zhang China
Huili Wang China
Shuangshuang Ma China
Lei Li China
Dayong Wang China
Ken Kin Lam Yung Hong Kong
Lei Shi relative to Min Jiang China Min Jiang's profile →
Citations per field
00.5×1.5×1.8×
Min Jiang · 1×
Citations per year

Countries citing papers authored by Lei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20242
4 20234
5 20234
6 202312
7 20238
8 20234
9 20223
10 202213
11 202112
12 202014
13 201935
14 20199
15 201897
16 201610
17 201435
18 201325
19 201037
20 2007222

About Lei Shi

Lei Shi is a scholar working on Pharmacology, Pollution, Developmental Neuroscience, Aging and Toxicology, having authored 147 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (18 papers), Advanced Photonic Communication Systems (15 papers), Optical Network Technologies (10 papers), Pharmacological Effects of Natural Compounds (9 papers), Software-Defined Networks and 5G (8 papers), Genetics and Neurodevelopmental Disorders (8 papers), Electrokinetic Soil Remediation Techniques (7 papers) and Autism Spectrum Disorder Research (7 papers). The work is most often cited by research in Pollution (954 citations), Industrial and Manufacturing Engineering (511 citations), Developmental Neuroscience (224 citations), Cellular and Molecular Neuroscience (553 citations) and Health, Toxicology and Mutagenesis (413 citations). Lei Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lian‐Jun Bao, Eddy Y. Zeng, Lukas Y. Wick, Hauke Harms, Nancy Y. Ip, Amy K.Y. Fu, Lei Mai, Zoltán Molnár, Anna Hoerder‐Suabedissen and Lancelot Jamie Millar. Their work appears in journals such as Environmental Pollution, Journal of Hazardous Materials, Environmental Science & Technology, Frontiers in Cellular Neuroscience and Optical Switching and Networking.

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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