Ling Ye

3.0k citations
114 papers · 2.2k indexed · h-index 26

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research
    • SARS-CoV-2 and COVID-19 Research

Papers in

Ling Ye

101 papers receiving 2.1k citations

Peers

Ling Ye
Comparison fields: 5 of 148
  • Cancer Research 389
  • Infectious Diseases 385
  • Modeling and Simulation 63
  • Condensed Matter Physics 125
  • Electronic, Optical and Magnetic Materials 183
Replace Abdullah M. Syed with:
Abdullah M. Syed Canada
Andrew Li Singapore
Swaminathan P. Iyer United States
Maciej Zborowski United States
Beate Rau Germany
Soo‐Young Yoon South Korea
Ine Lentacker Belgium
Bert Hildebrandt Germany
John W. Smith United States
В. Н. Павлов Russia
Ling Ye relative to Abdullah M. Syed Canada Abdullah M. Syed's profile →
Citations per field
00.5×4.2×
Abdullah M. Syed · 1×
Citations per year

Countries citing papers authored by Ling Ye

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20250
5 20250
6 20250
7 20245
8 20242
9 202410
10 202443
11 20233
12 20232
13
Clinical Characteristics and Prognosis of Allergic Bronchopulmonary Aspergillosis: A Retrospective Cohort Study
202216
14 20226
15 20216
16 202015
17 202080
18 201777
19 20157
20 20121

About Ling Ye

Ling Ye is a scholar working on Cancer Research, Family Practice, Physiology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 114 papers that have together received 2.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (17 papers), MicroRNA in disease regulation (12 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (8 papers), Graphene research and applications (7 papers), Respiratory and Cough-Related Research (7 papers) and Advanced Chemical Physics Studies (7 papers). The work is most often cited by research in Cancer Research (389 citations), Infectious Diseases (385 citations), Modeling and Simulation (63 citations), Condensed Matter Physics (125 citations) and Electronic, Optical and Magnetic Materials (183 citations). Ling Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xide Xie, Chunxue Bai, Jun She, Yuanlin Song, Zhongqin Yang, Jinjun Jiang, Lijuan Hu, B. Delley, A. J. Freeman and Richard W. Compans. Their work appears in journals such as Surface Science, Physical review. B, Condensed matter, Respiratory Research, Cell Reports and Human Cell.

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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