Junmei Yang

849 citations
36 papers · 571 · h-index 14

Impact in

Papers in

Junmei Yang

33 papers receiving 564 citations

Peers

Junmei Yang
Comparison fields: 5 of 83
  • Cancer Research 108
  • Molecular Medicine 21
  • Epidemiology 129
  • Immunology 80
  • Applied Microbiology and Biotechnology 6
Replace Enqiang Mao with:
Enqiang Mao China
Mingdong Zhao China
Youqing Zhu China
Soon Deok Park South Korea
Yujie Zhou China
Donna L. Perry United States
Hea Young Oh South Korea
Martina Girardelli Italy
Fenghua Peng China
Takafumi Okui Japan
Junmei Yang relative to Enqiang Mao China Enqiang Mao's profile →
Citations per field
00.5×1.5×
Enqiang Mao · 1×
Citations per year

Countries citing papers authored by Junmei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junmei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 202064
3 201855
4 202141
5 202232
6 202128
7 202127
8 202323
9 201222
10 201820
11 201916
12 202116
13
Association of Procalcitonin to Albumin Ratio with the Presence and Severity of Sepsis in Neonates
202216
14 202315
15 202013
16 202012
17 202011
18 201710
19 20248
20 20248

About Junmei Yang

Junmei Yang is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 571 indexed citations. Recurring topics across this work include Neonatal and Maternal Infections (10 papers), Pneumonia and Respiratory Infections (4 papers), Antibiotic Resistance in Bacteria (3 papers), Sepsis Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Respiratory viral infections research (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cancer Research (108 citations), Molecular Medicine (21 citations), Epidemiology (129 citations), Immunology (80 citations) and Applied Microbiology and Biotechnology (6 citations). Junmei Yang has collaborated with scholars based in China, Singapore and South Korea. Frequent co-authors include Tiewei Li, Geng Dong, Yuewu Wang, Xiaojuan Li, Xiaojuan Li, Zhiming Shan, Zhe Xu, Min Zhang, Xiaojuan Li and Wei Yang. Their work appears in journals such as Journal of Inflammation Research, Annals of Medicine, Frontiers in Pediatrics, Infection and Drug Resistance and Current Microbiology.

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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