Ling Ling

1.5k citations
32 papers · 802 · h-index 13

Impact in

    • Viral Infections and Vectors
    • Antifungal resistance and susceptibility
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Tissue Engineering and Regenerative Medicine 3
    • Fungal Infections and Studies 3

Ling Ling

28 papers receiving 788 citations

Peers

Ling Ling
Comparison fields: 5 of 97
  • Infectious Diseases 224
  • Genetics 97
  • Virology 35
  • Immunology 140
  • Public Health, Environmental and Occupational Health 169
Replace Shuijun Zhang with:
Shuijun Zhang China
Takaharu Matsuyama Japan
Robert ­Müllegger Austria
Rafael A. Larocca United States
K Groeneveld Netherlands
Maria Letícia Cintra Brazil
Andrea‐Romana Prusa Austria
M. Radosevich Egypt
Á. Hernández‐Martín Spain
W. Clark Lambert United States
Ling Ling relative to Shuijun Zhang China Shuijun Zhang's profile →
Citations per field
00.5×1.5×1.8×
Shuijun Zhang · 1×
Citations per year

Countries citing papers authored by Ling Ling

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007186
2 2014122
3 200676
4 202161
5 200745
6 201344
7 200944
8 200944
9 200935
10 202019
11 201418
12 202016
13
Inflammatory myofibroblastic tumour in the left maxillary sinus: a case report.
200414
14 202012
15 200812
16 202011
17 202110
18 20066
19
The role of autophagic and lysosomal pathways in ischemic brain injury
20135
20 20224

About Ling Ling

Ling Ling is a scholar working on Surgery, Epidemiology, Pathology and Forensic Medicine, Infectious Diseases and Genetics, having authored 32 papers that have together received 802 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Ophthalmology and Eye Disorders (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Fungal Infections and Studies (3 papers), Cancer Cells and Metastasis (2 papers), Dementia and Cognitive Impairment Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Infectious Diseases (224 citations), Genetics (97 citations), Virology (35 citations), Immunology (140 citations) and Public Health, Environmental and Occupational Health (169 citations). Ling Ling has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Martin L. Hibberd, Simon M. Cool, Christopher H. Mody, Gareth J. Jones, Victor Nurcombe, Shui‐Hong Zhou, Joshua Fink, Feng Gu, Keh Chuang Chin and Farzad O. Olfat. Their work appears in journals such as Stem Cell Reports, The Science of The Total Environment, Gene, Stem Cells and 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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