Meiling Jin

67 papers receiving 1.4k citations

Peers

Meiling Jin
Comparison fields: 5 of 121
  • Molecular Medicine 74
  • Dermatology 121
  • Immunology and Allergy 79
  • Immunology 243
  • Health, Toxicology and Mutagenesis 142
Replace Chung Y. Cho with:
Chung Y. Cho United States
Shucheng Hua China
Kee‐Lung Chang Taiwan
Randle M. Gallucci United States
Jun Zou China
Tirumalai Rangasamy United States
Yu Sun China
Wei‐Ning Lin Taiwan
Weixi Zhang China
Meiling Jin relative to Chung Y. Cho United States Chung Y. Cho's profile →
Citations per field
00.5×5×10×15.5×
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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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017209
2 2018131
3 201196
4 202080
5 201767
6 201752
7 201752
8 201045
9 201845
10
Protective effects of alpha 1-antitrypsin on acute lung injury in rabbits induced by endotoxin.
200340
11 201537
12 202233
13 201728
14 201325
15 201725
16 202123
17 201621
18 202020
19 201620
20 202419

About Meiling Jin

Meiling Jin is a scholar working on Molecular Biology, Physiology, Immunology, Oncology and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (14 papers), Dermatology and Skin Diseases (7 papers), Allergic Rhinitis and Sensitization (5 papers), Immunotherapy and Immune Responses (4 papers), Mast cells and histamine (4 papers), RNA modifications and cancer (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Air Quality and Health Impacts (3 papers). The work is most often cited by research in Molecular Medicine (74 citations), Dermatology (121 citations), Immunology and Allergy (79 citations), Immunology (243 citations) and Health, Toxicology and Mutagenesis (142 citations). Meiling Jin has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Chunxue Bai, Ling Ye, Yuanlin Song, Cuicui Chen, Xiangdong Wang, Yihong Lai, Yangyang Yu, Dong Yang, Jian Wang and Linlin Wang. Their work appears in journals such as International Immunopharmacology, Ecotoxicology and Environmental Safety, International Journal of Molecular Medicine, European Journal of Pharmacology and Journal of Cellular and Molecular Medicine.

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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