Ailing Luo

1.0k citations
61 papers · 646 · h-index 14

Impact in

Papers in

Ailing Luo

57 papers receiving 639 citations

Peers

Ailing Luo
Comparison fields: 5 of 100
  • Cancer Research 161
  • Control and Systems Engineering 112
  • Cognitive Neuroscience 92
  • Molecular Biology 321
  • Human-Computer Interaction 24
Replace Tomoya Kitamura with:
Tomoya Kitamura Japan
Florian Kraft Germany
Michael Y. Wang United States
Daniel Chester United States
Xiwen Gu China
Timothy Chang United States
Julia Starke Germany
Kei Kato Japan
Wenjian Bi China
Pengfei Lu United States
Ailing Luo relative to Tomoya Kitamura Japan Tomoya Kitamura's profile →
Citations per field
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Tomoya Kitamura · 1×
Citations per year

Countries citing papers authored by Ailing Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ailing Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201690
2 201560
3 201742
4 202138
5 201735
6 202235
7 201832
8 202131
9 201827
10 201725
11 202317
12 202115
13 202415
14 201613
15 201612
16 202111
17 202410
18 20179
19 20199
20 20168

About Ailing Luo

Ailing Luo is a scholar working on Molecular Biology, Cognitive Neuroscience, Renewable Energy, Sustainability and the Environment, Cancer Research and Public Health, Environmental and Occupational Health, having authored 61 papers that have together received 646 indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), Metalloenzymes and iron-sulfur proteins (9 papers), EEG and Brain-Computer Interfaces (9 papers), RNA Research and Splicing (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Cancer-related molecular mechanisms research (7 papers), Machine Fault Diagnosis Techniques (4 papers) and Metal-Catalyzed Oxygenation Mechanisms (4 papers). The work is most often cited by research in Cancer Research (161 citations), Control and Systems Engineering (112 citations), Cognitive Neuroscience (92 citations), Molecular Biology (321 citations) and Human-Computer Interaction (24 citations). Ailing Luo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guanghua Xu, Yi Wang, Lin Liang, Sicong Zhang, Xiaoping Liu, Min Li, Chengcheng Han, Jun Xie, Xiaodan Liu and Jing He. Their work appears in journals such as Journal of Integrative Plant Biology, Frontiers in Oncology, Cancer, Molecular Therapy — Oncolytics and Journal of Cellular Biochemistry.

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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