Lingzhi Li

1.2k citations
55 papers · 829 indexed · h-index 18
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms 10
    • Neurological Disease Mechanisms and Treatments 5
    • Intracerebral and Subarachnoid Hemorrhage Research 4
  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes 3
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms 10
    • Neurological Disease Mechanisms and Treatments 5
    • Intracerebral and Subarachnoid Hemorrhage Research 4
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 4
    • Acute Ischemic Stroke Management 8
    • Circular RNAs in diseases 6

Lingzhi Li

53 papers receiving 820 citations

Peers

Lingzhi Li
Comparison fields: 5 of 101
  • Neurology 128
  • Nephrology 67
  • Neurology 139
  • Cancer Research 115
  • Transplantation 18
Replace Dae‐Il Chang with:
Dae‐Il Chang South Korea
Anna Proia Italy
Daniel J. Tyrrell United States
William R. Law United States
Xichun Yu United States
Zhong Ju China
Marta Budkowska Poland
Erkki Ilveskoski Finland
Shuai Miao China
Lingzhi Li relative to Dae‐Il Chang South Korea Dae‐Il Chang's profile →
Citations per field
00.5×4.5×
Dae‐Il Chang · 1×
Citations per year

Countries citing papers authored by Lingzhi Li

Since Specialization
Citations

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

Fields of papers citing papers by Lingzhi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20243
3 20236
4 202317
5 20232
6 2022108
7 20223
8 20222
9 20222
10 20223
11 202116
12 20217
13 20215
14 201912
15 201932
16 201925
17 201825
18 201721
19 201518
20 20158

About Lingzhi Li

Lingzhi Li is a scholar working on Neurology, Cancer Research and Nephrology, having authored 55 papers that have together received 829 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Acute Ischemic Stroke Management (8 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (6 papers), Neurological Disease Mechanisms and Treatments (5 papers), MicroRNA in disease regulation (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Neurology (128 citations), Nephrology (67 citations) and Neurology (139 citations). Lingzhi Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yumin Luo, Ziping Han, Haiping Zhao, Yuyou Huang, Rongliang Wang, Ping Fu, Hongyan Zhang, Ying Shi, Pınar Eser Ocak and Dong Zhou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Brain Research and Neuroscience.

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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