Sheng Le

51 papers receiving 927 citations

Peers

Sheng Le
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 194
  • Critical Care and Intensive Care Medicine 39
  • Cardiology and Cardiovascular Medicine 141
  • Cognitive Neuroscience 118
  • Neurology 40
Replace Yair M. Gozal with:
Yair M. Gozal United States
Leonid G. Ermilov United States
Esteban A. Moya Chile
Betty Y. Poon Canada
Nana Sunn Australia
Theodore P. Braun United States
Jerzy Jochem Poland
Charles Auker United States
N. G. McHale United Kingdom
G. Trevor Cottrell United States
Sheng Le relative to Yair M. Gozal United States Yair M. Gozal's profile →
Citations per field
00.5×2×3×4.3×
Yair M. Gozal · 1×
Citations per year

Countries citing papers authored by Sheng Le

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019111
2 202065
3 201758
4 201951
5 202150
6 201845
7 201744
8 202040
9 202028
10 202325
11 202124
12 202221
13 202221
14 201521
15 202420
16 202119
17 202118
18 201517
19 202316
20 202215

About Sheng Le

Sheng Le is a scholar working on Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Immunology, Critical Care and Intensive Care Medicine and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 933 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (8 papers), Neuroendocrine regulation and behavior (4 papers), Nosocomial Infections in ICU (3 papers), interferon and immune responses (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Aortic aneurysm repair treatments (2 papers), Neonatal Respiratory Health Research (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (194 citations), Critical Care and Intensive Care Medicine (39 citations), Cardiology and Cardiovascular Medicine (141 citations), Cognitive Neuroscience (118 citations) and Neurology (40 citations). Sheng Le has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Simon McMullan, Ann K. Goodchild, Bowen Dempsey, Xiaofan Huang, Dashuai Wang, Hongfei Wang, Xinling Du, Jiahong Xia, Ping Ye and Andrew Mark Allen. Their work appears in journals such as Frontiers in Cardiovascular Medicine, The Journal of Comparative Neurology, International Immunopharmacology, Cardiovascular Research and Molecular Psychiatry.

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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