Ling Yang

4.2k citations
76 papers · 2.9k · 1 hit paper · h-index 25

Impact in

Papers in

Ling Yang

71 papers receiving 2.8k citations

Ling Yang's Hit Papers

Nervous system involvement after infection with COVID-19 and other coronaviruses 2020 · 1.4k citations
1.4k0+2+4Years since publication4008001.2k

Peers

Ling Yang
Comparison fields: 5 of 139
  • Neurology 1.1k
  • Biological Psychiatry 126
  • Infectious Diseases 666
  • Neurology 170
  • Critical Care and Intensive Care Medicine 87
Replace Cunming Liu with:
Cunming Liu China
Eric Lazartigues United States
Dirk Müller‐Wieland Germany
Di Xiao China
Hélène Blasco France
Giulia Bivona Italy
Wojciech Kozubski Poland
GianPietro Sechi Italy
Jasper Dingemanse Switzerland
Massimo Pieri Italy
Ling Yang relative to Cunming Liu China Cunming Liu's profile →
Citations per field
00.5×
Cunming Liu · 1×
Citations per year

Countries citing papers authored by Ling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nervous system involvement after infection with COVID-19 and other coronaviruses
Hit paper breakdown →
20201449
2 202382
3 201168
4 202365
5 200665
6 202263
7 200656
8 202052
9 202247
10 201945
11 200745
12 200843
13 200738
14 200438
15 201438
16 201037
17 201435
18 202330
19 202230
20 201929

About Ling Yang

Ling Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Physiology and Infectious Diseases, having authored 76 papers that have together received 2.9k indexed citations. Recurring topics across this work include Gut microbiota and health (6 papers), Cardiac electrophysiology and arrhythmias (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Mitochondrial Function and Pathology (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Tryptophan and brain disorders (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Neurology (1.1k citations), Biological Psychiatry (126 citations), Infectious Diseases (666 citations), Neurology (170 citations) and Critical Care and Intensive Care Medicine (87 citations). Ling Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chun Yang, Jiahao Duan, Cunming Liu, Yeshun Wu, Kenji Hashimoto, Zijun Chen, Xiaolin Xu, Zhilin Qu, James N. Weiss and Junhai Yang. Their work appears in journals such as Biophysical Journal, Journal of Biological Chemistry, Brain Behavior and Immunity, Chinese Chemical Letters and Translational 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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