Lingling Yi

27 papers receiving 527 citations

Peers

Lingling Yi
Comparison fields: 5 of 80
  • Immunology 232
  • Immunology and Allergy 57
  • Physiology 227
  • Dermatology 53
  • Emergency Medical Services 39
Replace Lars Lunding with:
Lars Lunding Germany
Karl Vergote Belgium
Hock L. Tay Australia
Masahiro Ogawa Japan
Tomohiro Tamachi Japan
Nina Germič Switzerland
Luke R. Bonser United States
Julian M. Stark Sweden
Lucie Roussel Canada
Nicole Bedke United Kingdom
Lingling Yi relative to Lars Lunding Germany Lars Lunding's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lingling Yi

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014147
2 201777
3 201654
4 201829
5 201428
6 201128
7 202121
8 202217
9 201716
10 201414
11
The association between CD209 gene polymorphisms and pulmonary tuberculosis susceptibility: a meta-analysis.
201512
12 202112
13 202111
14
Association between angiotensin I-converting enzyme gene polymorphism and susceptibility to cancer: a meta analysis.
201410
15 202110
16 20168
17
Pulmonary epithelioid hemangioendothelioma coexisting with pulmonary nodular amyloidosis: case discussion and review of the literature.
20148
18 20227
19
Association between ORMDL3 polymorphism and susceptibility to asthma: a meta-analysis.
20156
20 20095

About Lingling Yi

Lingling Yi is a scholar working on Immunology, Physiology, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 533 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (9 papers), IL-33, ST2, and ILC Pathways (7 papers), Eosinophilic Esophagitis (5 papers), Allergic Rhinitis and Sensitization (2 papers), Galectins and Cancer Biology (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), RNA modifications and cancer (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Immunology (232 citations), Immunology and Allergy (57 citations), Physiology (227 citations), Dermatology (53 citations) and Emergency Medical Services (39 citations). Lingling Yi has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Guohua Zhen, Huimin Shi, Jianping Zhao, Dan Cheng, David J. Erle, Yongjian Xu, Kan Zhang, Zheng Xue, Luke R. Bonser and Yuqing Mo. Their work appears in journals such as Respiratory Research, Clinical & Experimental Allergy, Postgraduate Medical Journal, American Journal of Physiology-Lung Cellular and Molecular Physiology and Plant Cell Reports.

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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