Ling Mao

13.8k total citations · 3 hit papers
84 papers, 8.9k citations indexed

About

Ling Mao is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Ling Mao has authored 84 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 14 papers in Neurology and 14 papers in Immunology. Recurrent topics in Ling Mao's work include Hedgehog Signaling Pathway Studies (9 papers), MicroRNA in disease regulation (8 papers) and Axon Guidance and Neuronal Signaling (7 papers). Ling Mao is often cited by papers focused on Hedgehog Signaling Pathway Studies (9 papers), MicroRNA in disease regulation (8 papers) and Axon Guidance and Neuronal Signaling (7 papers). Ling Mao collaborates with scholars based in China, United States and United Kingdom. Ling Mao's co-authors include Bo Hu, Huijuan Jin, Yanan Li, Quanwei He, Yifan Zhou, Mengdie Wang, David Wang, Jiang Chang, Shengcai Chen and Candong Hong and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Ling Mao

80 papers receiving 8.7k citations

Hit Papers

Neurologic Manifestations of Hospitalized Patients With C... 2019 2026 2021 2023 2020 2020 2019 1000 2.0k 3.0k 4.0k

Peers

Ling Mao
Comparison fields: 5 of 150
  • Neurology 5.0k
  • Infectious Diseases 3.3k
  • Molecular Biology 1.9k
  • Neurology 1.2k
  • Clinical Psychology 1.0k
Replace Huijuan Jin with:
Huijuan Jin China
Quanwei He China
Jiang Chang China
Bo Hu China
Shengcai Chen China
Chuan Qin China
Dai‐Shi Tian China
Yifan Zhou China
Sonia Villapol United States
Huijuan Jin China View profile →
Citations per field, relative to Ling Mao
Ling Mao · 1×
Citations per year, relative to Ling Mao
Ling Mao · 1×

Countries citing papers authored by Ling Mao

Since Specialization
Citations

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

Fields of papers citing papers by Ling Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Mao. A scholar is included among the top collaborators of Ling Mao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Mao. Ling Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 2
4 52
5 0
6 45
7 2
8 8
9 36
10
Microglia-derived TNF-α mediates endothelial necroptosis aggravating blood brain–barrier disruption after ischemic stroke breakdown →
376
11 8
12 2
13 144
14 8
15 51
16 16
17 22
18 89
19 58
20 66

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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