Miao Ling

589 citations
24 papers · 444 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Insect-Plant Interactions and Control
    • Insect and Pesticide Research

Papers in

Miao Ling

23 papers receiving 440 citations

Peers

Miao Ling
Comparison fields: 5 of 61
  • Cancer Research 83
  • Insect Science 74
  • Microbiology 26
  • Neurology 32
  • Genetics 40
Replace Marta Ortega‐Martínez with:
Marta Ortega‐Martínez Spain
Ying Ding China
Carlos DeOcesano-Pereira Brazil
Harry Subramanian United States
Guilhem Clary France
Jiawei Wang China
M. Leontien van der Bent Netherlands
Zhonghua Yang China
Robert Sons United States
Miao Ling relative to Marta Ortega‐Martínez Spain Marta Ortega‐Martínez's profile →
Citations per field
00.5×5.3×
Marta Ortega‐Martínez · 1×
Citations per year

Countries citing papers authored by Miao Ling

Since Specialization
Citations

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

Fields of papers citing papers by Miao Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201654
2 201750
3 201846
4 201645
5 201935
6 201629
7 201629
8 201620
9 201619
10 201818
11 202115
12 201913
13 201813
14 201711
15 202011
16 20218
17 20217
18 20217
19 20196
20 20253

About Miao Ling

Miao Ling is a scholar working on Surgery, Molecular Biology, Neurology, Insect Science and Pathology and Forensic Medicine, having authored 24 papers that have together received 444 indexed citations. Recurring topics across this work include Intraoperative Neuromonitoring and Anesthetic Effects (6 papers), Insect Resistance and Genetics (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Barrier Structure and Function Studies (2 papers), Insect and Pesticide Research (2 papers), Infrared Target Detection Methodologies (2 papers), Insect-Plant Interactions and Control (2 papers) and Vascular Malformations Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (83 citations), Insect Science (74 citations), Microbiology (26 citations), Neurology (32 citations) and Genetics (40 citations). Miao Ling has collaborated with scholars based in China and France. Frequent co-authors include Congai Zhen, Xiwu Gao, Xing Fan, Chen Tan, Huanchun Chen, Ruicheng Yang, Jiyang Fu, Lei Song, Xiangru Wang and Yucai Li. Their work appears in journals such as Pesticide Biochemistry and Physiology, World Neurosurgery, Neurosurgical Review, Scientific Reports and Journal of Neuroinflammation.

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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