Meiling Yang

57 papers receiving 1.7k citations

Peers

Meiling Yang
Comparison fields: 5 of 96
  • Immunology 203
  • Molecular Biology 558
  • Obstetrics and Gynecology 81
  • Orthopedics and Sports Medicine 78
  • Cancer Research 108
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Jun Tu China
Michael J. E. Marshall United Kingdom
Gang Ning United States
Louise Brissette Canada
Jihong Shi China
Katsumi Eguchi Japan
Vijith Vijayan Germany
Eleni Stylianou United Kingdom
Kelly L. Walton Australia
Shahrzad Soleymani Fard Iran
Meiling Yang relative to Jun Tu China Jun Tu's profile →
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Citations per year

Countries citing papers authored by Meiling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meiling Yang, 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 Meiling Yang Line = papers co-authored together Meiling Yang 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 2019331
2 2004144
3 2016124
4 1995103
5 202176
6 201669
7 201866
8 201665
9 202154
10 202348
11 201746
12 201746
13 201245
14 201940
15 202138
16 201236
17 201335
18 200834
19 200627
20
[A comparative analysis of the clinical and laboratory characteristics in disseminated penicilliosis marneffei in patients with and without human immunodeficiency virus infection].
200825

About Meiling Yang

Meiling Yang is a scholar working on Epidemiology, Rheumatology, Pulmonary and Respiratory Medicine, Neurology and Oncology, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fungal Infections and Studies (4 papers), Diabetes and associated disorders (3 papers), Lung Cancer Treatments and Mutations (3 papers), Systemic Lupus Erythematosus Research (3 papers), Insect Resistance and Genetics (2 papers), Alzheimer's disease research and treatments (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (203 citations), Molecular Biology (558 citations), Obstetrics and Gynecology (81 citations), Orthopedics and Sports Medicine (78 citations) and Cancer Research (108 citations). Meiling Yang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Mark J. Mamula, Benjamin K. Tsang, Andrée Gruslin, Hong Wei, Xiaolan Zhu, Huiling Shen, Fan Feng, Wenlin Xu, Yueqin Liu and Qi Chen. Their work appears in journals such as Frontiers in Immunology, Journal of Clinical Laboratory Analysis, Journal of Ethnopharmacology, Chinese Journal of Integrative Medicine and Osteoporosis International.

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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