Ke Lang

598 citations
20 papers · 272 · h-index 8

Impact in

Papers in

Ke Lang

16 papers receiving 262 citations

Peers

Ke Lang
Comparison fields: 5 of 71
  • Ophthalmology 70
  • Immunology and Allergy 42
  • Public Health, Environmental and Occupational Health 139
  • Radiology, Nuclear Medicine and Imaging 92
  • Dermatology 31
Replace Paul McCann with:
Paul McCann United States
Pia Allegri Italy
Jeong-Ah Shin South Korea
Jong-Uk Lee South Korea
Tayyar Cantürk Türkiye
Tai‐Li Chen Taiwan
Francis Y. Falck United States
Ronald P. Mason United Kingdom
Eugene Tay United Kingdom
Manon Der-Petrossian Austria
Ke Lang relative to Paul McCann United States Paul McCann's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by Ke Lang

Since Specialization
Citations

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

Fields of papers citing papers by Ke Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200889
2 200772
3 202418
4 201317
5 202015
6 202313
7 202211
8 202410
9 20246
10
Low Eosinophil Phenotype Predicts Noninvasive Mechanical Ventilation Use in Patients with Hospitalized Exacerbations of COPD
20225
11 20225
12 20234
13 20244
14 20251
15 20251
16 20251
17 20250
18 20220
19 20250
20 20230

About Ke Lang

Ke Lang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 20 papers that have together received 272 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Ocular Surface and Contact Lens (3 papers), Nanoplatforms for cancer theranostics (2 papers), Ferroptosis and cancer prognosis (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Pneumonia and Respiratory Infections (2 papers) and Advanced Nanomaterials in Catalysis (2 papers). The work is most often cited by research in Ophthalmology (70 citations), Immunology and Allergy (42 citations), Public Health, Environmental and Occupational Health (139 citations), Radiology, Nuclear Medicine and Imaging (92 citations) and Dermatology (31 citations). Ke Lang has collaborated with scholars based in China and Saudi Arabia. Frequent co-authors include Ying Kang, Peng Lü, Xiaoming Chen, Wenfang Zhang, Xuyang Liu, Xiaoming Chen, Quanhua Xie, Yajie Zheng, Zhi‐Bin Luo and Xiaocen Wang. Their work appears in journals such as Journal of Nanobiotechnology, Cornea, Transactions of Nonferrous Metals Society of China, Chinese Chemical Letters and Molecules.

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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