Cong Ling

580 citations
52 papers · 378 indexed · h-index 13

Impact in

Papers in

Cong Ling

44 papers receiving 374 citations

Peers

Cong Ling
Comparison fields: 5 of 97
  • Neurology 81
  • Genetics 38
  • Cancer Research 53
  • Rheumatology 48
  • Endocrinology, Diabetes and Metabolism 49
Replace Giovanni Zelano with:
Giovanni Zelano Italy
Hualin Yu China
Zhongli Jiang China
Roberta M. Lassance‐Soares United States
Sunao Takemura Japan
Yongjie Yuan China
Dinesh Rao United States
Said Dahbour Jordan
Christopher Sy United States
Ki‐Bum Sim South Korea
Cong Ling relative to Giovanni Zelano Italy Giovanni Zelano's profile →
Citations per field
00.5×
Giovanni Zelano · 1×
Citations per year

Countries citing papers authored by Cong Ling

Since Specialization
Citations

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

Fields of papers citing papers by Cong Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199332
2 201828
3 201819
4 201618
5 202117
6 201917
7 202416
8 202116
9 202115
10 202015
11 201914
12
Knockdown of long non-coding RNA AFAP1-AS1 inhibits growth and promotes apoptosis in pituitary adenomas.
201814
13 201713
14 202212
15 202111
16 202010
17 20199
18 20199
19 20198
20 20188

About Cong Ling

Cong Ling is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Epidemiology, Molecular Biology and Surgery, having authored 52 papers that have together received 378 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (19 papers), Cerebrovascular and Carotid Artery Diseases (12 papers), Acute Ischemic Stroke Management (8 papers), Moyamoya disease diagnosis and treatment (7 papers), Vascular Malformations Diagnosis and Treatment (4 papers), Cancer-related molecular mechanisms research (4 papers), Diabetes Management and Research (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Neurology (81 citations), Genetics (38 citations), Cancer Research (53 citations), Rheumatology (48 citations) and Endocrinology, Diabetes and Metabolism (49 citations). Cong Ling has collaborated with scholars based in China, Nepal and United Kingdom. Frequent co-authors include Meiqin Cai, Bo Hou, Lun Luo, P L Atkinson, Chuan Chen, Baoyu Zhang, Ying Guo, Zhangyu Li, Jun Sun and Chuan Chen. Their work appears in journals such as World Neurosurgery, Clinical Neurology and Neurosurgery, Annals of Medicine, Journal of Stroke and Cerebrovascular Diseases and Diabetes Metabolic Syndrome and Obesity.

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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