Ling Ye

3.0k citations
114 papers · 2.2k · h-index 25

Impact in

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

Papers in

Ling Ye

105 papers receiving 2.2k citations

Peers

Ling Ye
Comparison fields: 5 of 141
  • Cancer Research 335
  • Infectious Diseases 338
  • Modeling and Simulation 56
  • Condensed Matter Physics 125
  • Electronic, Optical and Magnetic Materials 182
Replace Abdullah M. Syed with:
Abdullah M. Syed Canada
Andrew Li Singapore
Swaminathan P. Iyer United States
Elvezia Maria Paraboschi Italy
Charles P. Theuer United States
Gerhard Randers-Pehrson United States
Beate Rau Germany
Soo‐Young Yoon South Korea
Ine Lentacker Belgium
Manuela Buonanno United States
Ling Ye relative to Abdullah M. Syed Canada Abdullah M. Syed's profile →
Citations per field
00.5×
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-authors

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

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020279
2 1989128
3 2012124
4 1999111
5 200998
6 202080
7 201778
8 201777
9 201964
10 200662
11 202448
12 199942
13 202041
14 199340
15 199337
16 201537
17 201435
18 201934
19 200232
20 202031

About Ling Ye

Ling Ye is a scholar working on Molecular Biology, Materials Chemistry, Physiology, Cancer Research and Infectious Diseases, having authored 114 papers that have together received 2.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (11 papers), MicroRNA in disease regulation (8 papers), Graphene research and applications (7 papers), Advanced Chemical Physics Studies (7 papers), Surface and Thin Film Phenomena (6 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (335 citations), Infectious Diseases (338 citations), Modeling and Simulation (56 citations), Condensed Matter Physics (125 citations) and Electronic, Optical and Magnetic Materials (182 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, Jinjun Jiang, Lijuan Hu, Zhongqin Yang, 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, Journal of Asthma and Respiratory Medicine.

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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