Meiling Jin

731 citations
40 papers · 408 · h-index 10

Impact in

Papers in

Meiling Jin

37 papers receiving 401 citations

Peers

Meiling Jin
Comparison fields: 5 of 78
  • Physiology 199
  • Family Practice 9
  • Immunology 98
  • Immunology and Allergy 22
  • Pulmonary and Respiratory Medicine 85
Replace Y.‐M. Ye with:
Y.‐M. Ye South Korea
Ping Meng China
Po‐Yu Chi Taiwan
Sebastian Ferri Italy
Patricia Robbe Netherlands
Jessica S. Siegle Australia
M.C. McGregor United States
Kenneth J. Addison United States
Monica Chi United States
Ismail Kasujee Spain
Meiling Jin relative to Y.‐M. Ye South Korea Y.‐M. Ye's profile →
Citations per field
00.5×
Y.‐M. Ye · 1×
Citations per year

Countries citing papers authored by Meiling Jin

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201691
2 201441
3 200937
4 202227
5 201020
6 201619
7 201119
8 201918
9 202114
10 202012
11 20239
12 20219
13 20248
14
Difference of Serum Cytokine Profile in Allergic Asthma Patients According to Disease Severity
20228
15 20208
16 20237
17 20217
18 20246
19 20106
20 20225

About Meiling Jin

Meiling Jin is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Oncology, Immunology and Allergy and Pathology and Forensic Medicine, having authored 40 papers that have together received 408 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (16 papers), Tuberous Sclerosis Complex Research (8 papers), Allergic Rhinitis and Sensitization (3 papers), Renal cell carcinoma treatment (3 papers), Eosinophilic Disorders and Syndromes (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Nutrition and Health in Aging (2 papers) and Vascular Tumors and Angiosarcomas (2 papers). The work is most often cited by research in Physiology (199 citations), Family Practice (9 citations), Immunology (98 citations), Immunology and Allergy (22 citations) and Pulmonary and Respiratory Medicine (85 citations). Meiling Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chunxue Bai, Ling Ye, Zhijun Jie, Xuehua Zhu, Yi Jia, Zhihong Chen, Renhong Tang, Min Hu, Xiangdong Wang and Zhenghong Yuan. Their work appears in journals such as Journal of Asthma, Respiratory Physiology & Neurobiology, Respiratory Medicine, American Journal of Respiratory and Critical Care Medicine and American Journal of Respiratory Cell and Molecular Biology.

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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