Feng Ling

2.3k total citations
102 papers, 1.6k citations indexed

About

Feng Ling is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Feng Ling has authored 102 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Epidemiology, 26 papers in Neurology and 25 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Feng Ling's work include Acute Ischemic Stroke Management (24 papers), Cerebrovascular and Carotid Artery Diseases (22 papers) and Intracranial Aneurysms: Treatment and Complications (14 papers). Feng Ling is often cited by papers focused on Acute Ischemic Stroke Management (24 papers), Cerebrovascular and Carotid Artery Diseases (22 papers) and Intracranial Aneurysms: Treatment and Complications (14 papers). Feng Ling collaborates with scholars based in China, United States and Japan. Feng Ling's co-authors include Xunming Ji, Zan Chen, Yuchuan Ding, Karsten H. Wrede, Fengzeng Jian, Madjid Samii, Liqun Jiao, Hongqi Zhang, Hongzhi Ma and Meng Lian and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Feng Ling

98 papers receiving 1.6k citations

Peers

Feng Ling
Comparison fields: 5 of 105
  • Epidemiology 603
  • Neurology 471
  • Pulmonary and Respiratory Medicine 314
  • Molecular Biology 313
  • Surgery 263
Replace Murali Guthikonda with:
Murali Guthikonda United States
O. Dewitte Belgium
Cargill H. Alleyne United States
Sigurd Lindal Norway
Charles Nicaise Belgium
Hongqi Zhang China
Xiaofeng Yang China
Jun Ma China
Renya Zhan China
Murali Guthikonda United States View profile →
Citations per field, relative to Feng Ling
Feng Ling · 1×
Citations per year, relative to Feng Ling
Feng Ling · 1×

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-authorship network of co-authors of Feng Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ling. A scholar is included among the top collaborators of Feng Ling 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 Feng Ling. Feng Ling 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 1
2 2
3 1
4 5
5 5
6 15
7 13
8 8
9 8
10 13
11 2
12 22
13 11
14 35
15 1
16 50
17 132
18 15
19
Effects and Existing Problems of Soil and Water Loss Control in the Chaohe River Basin
1
20 8

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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