Feng Ling

1.6k citations
94 papers · 1.1k · h-index 16

Impact in

  • Neurology top 5%
    • Vascular Malformations Diagnosis and Treatment
    • Intracranial Aneurysms: Treatment and Complications
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Cerebral Venous Sinus Thrombosis

Papers in

    • Vascular Malformations Diagnosis and Treatment 23
    • Intracranial Aneurysms: Treatment and Complications 13
    • Neurosurgical Procedures and Complications 7

Feng Ling

92 papers receiving 1.1k citations

Peers

Feng Ling
Comparison fields: 5 of 108
  • Neurology 341
  • Neurology 100
  • Developmental Neuroscience 37
  • Internal Medicine 23
  • Genetics 65
Replace Desmond Brown with:
Desmond Brown United States
Tetsuya Masada Japan
Liang Gao China
M Tomonaga Japan
Michael Bernas United States
Andrew Gassman United States
Zhuo‐Hao Liu Taiwan
Monika Riek‐Burchardt Germany
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Feng Ling relative to Desmond Brown United States Desmond Brown's profile →
Citations per field
00.5×5.3×
Desmond Brown · 1×
Citations per year

Countries citing papers authored by Feng Ling

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013201
2 201084
3 201156
4 201353
5 201546
6 201342
7 201541
8 201433
9 201128
10 200826
11 201025
12 201422
13 202322
14 201722
15 201219
16 201116
17 201815
18 201515
19 202014
20 201914

About Feng Ling

Feng Ling is a scholar working on Neurology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vascular Malformations Diagnosis and Treatment (23 papers), Intracranial Aneurysms: Treatment and Complications (13 papers), Neurosurgical Procedures and Complications (7 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Cancer-related molecular mechanisms research (4 papers), Spinal Dysraphism and Malformations (4 papers), Head and Neck Surgical Oncology (3 papers) and Spinal Fractures and Fixation Techniques (3 papers). The work is most often cited by research in Neurology (341 citations), Neurology (100 citations), Developmental Neuroscience (37 citations), Internal Medicine (23 citations) and Genetics (65 citations). Feng Ling has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuhai Bao, Bao‐Guo Xiao, Xunming Ji, Cun‐Gen Ma, Jie‐Zhong Yu, Jian Meng, Yànhuá Lǐ, Chunyun Liu, Yueting Liu and Yong Xie. Their work appears in journals such as Clinical Neurology and Neurosurgery, World Neurosurgery, Neurosurgery, Journal of NeuroInterventional Surgery and Child s Nervous System.

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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