Mei Jin

15 papers receiving 157 citations

Peers

Mei Jin
Comparison fields: 5 of 39
  • Pulmonary and Respiratory Medicine 63
  • Surgery 60
  • Public Health, Environmental and Occupational Health 52
  • Reproductive Medicine 48
  • Epidemiology 46
Replace Alessandra Tomei with:
Alessandra Tomei Italy
An Hindryckx Belgium
Kai‐Sven Heling Germany
Dalius Malcius Lithuania
Caroline Kang United States
José Bajo-Arenas Spain
A. Dehaene France
T. Y. T. Tan Singapore
Atsunori Sugita Japan
Rani Haj Yahya Israel
Mei Jin relative to Alessandra Tomei Italy Alessandra Tomei's profile →
Citations per field
00.5×4.7×
Alessandra Tomei · 1×
Citations per year

Countries citing papers authored by Mei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Mei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Jin. A scholar is included among the top collaborators of Mei Jin 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 Mei Jin. Mei Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 3
5 4
6 3
7 3
8 13
9
Clinical analysis of pleuropulmonary blastoma in four larger Chinese pediatric hematology and oncology center
1
10 8
11
[Congenital atresia of left main coronary artery in 4 children: case report and literature review].
5
12
[Diagnosis and surgery of anomalous origin of the left coronary artery from the pulmonary artery in children].
1
13
Clinical features and long-term prognosis of patients with anomalous origin of the left coronary artery from the pulmonary artery.
16
14 30
15
[Diagnostic value of electrocardiogram on anomalous origin of the left coronary artery from the pulmonary artery in infants].
1
16 72

About Mei Jin

Mei Jin is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 163 indexed citations. Recurring topics across this work include Coronary Artery Anomalies (9 papers), Congenital Heart Disease Studies (4 papers) and Kawasaki Disease and Coronary Complications (3 papers). The work is most often cited by research in Reproductive Medicine (48 citations), Pulmonary and Respiratory Medicine (63 citations) and Public Health, Environmental and Occupational Health (52 citations). Mei Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jun Xie, David Cohen, Lawrence C. Layman, Ling Han, Guizhen Zhang, Yanyan Xiao, Wenzhi Cai, Ling Chen, Meng Xu and Qu‐ming Zhao. Their work appears in journals such as Scientific Reports, Fertility and Sterility and Computers and Electronics in Agriculture.

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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2026