Mi Tang

410 citations
22 papers · 220 indexed · h-index 10
Topics
Health Systems, Economic Evaluations, Quality of Life (5 papers)Pharmaceutical Economics and Policy (4 papers)Genomics and Rare Diseases (3 papers)
Partner nations
ChinaJapanSweden

In The Last Decade

Mi Tang

18 papers receiving 219 citations

Peers

Mi Tang
Comparison fields: 5 of 72
  • Economics and Econometrics 112
  • Finance 35
  • Genetics 25
  • Physiology 21
  • Transportation 19
Replace Laura Yasaitis with:
Laura Yasaitis United States
Habib Jalilian Iran
Rilei Jiang China
Ling-Fei Zhang China
Grace Hampson United Kingdom
Askal Ayalew Ali United States
Ichiro Muto Japan
Jae‐Ho Lee South Korea
Paolo Pertile Italy
Mehreteab Aregay United States
Mi Tang relative to Laura Yasaitis United States Laura Yasaitis's profile →
Citations per field
00.5×
Laura Yasaitis · 1×
Citations per year

Countries citing papers authored by Mi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Mi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Tang. A scholar is included among the top collaborators of Mi Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mi Tang. Mi Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 1
6 2
7 9
8 12
9 15
10 12
11 41
12 46
13 15
14 17
15 4
16 18
17 12
18 2
19
Oral food challenge-confirmed food allergy occurs more frequently among infants with early-onset eczema than in those diagnosed after 8 months of age in HealthNuts, a population-based food allergy study
1
20
Prevalence of food challenge: confirmed food allergies in a large pediatric population based study in Melbourne, Australia
5

About Mi Tang

Mi Tang is a scholar working on Immunology and Allergy, Medical Laboratory Technology and Transportation, having authored 22 papers that have together received 220 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Pharmaceutical Economics and Policy (4 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Economics and Econometrics (112 citations), Finance (35 citations) and Transportation (19 citations). Mi Tang has collaborated with scholars based in China, Japan and Sweden. Frequent co-authors include Jiangjiang He, Peipei Song, Chunlin Jin, Qi Kang, Yan Yang, Minxing Chen, Yanxu Yang, Xiaolong Luo, Xiaoman Liu and Duo Chen. Their work appears in journals such as Blood, Journal of Allergy and Clinical Immunology and Frontiers in Immunology.

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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