Libing Ma

1.0k citations
67 papers · 704 · h-index 16

Impact in

Papers in

Libing Ma

64 papers receiving 697 citations

Peers

Libing Ma
Comparison fields: 5 of 112
  • Immunology 134
  • Modeling and Simulation 27
  • Health 44
  • Pulmonary and Respiratory Medicine 137
  • Physiology 111
Replace Dongping Wang with:
Dongping Wang China
Jinfa Tou China
Aman Xu China
Tamyra Downs United States
Luying Zhang China
Monika Pazgan−Simon Poland
Fei He China
Aldo Pezzuto Italy
Libing Ma relative to Dongping Wang China Dongping Wang's profile →
Citations per field
00.5×3.9×
Dongping Wang · 1×
Citations per year

Countries citing papers authored by Libing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Libing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IL4 and IL-17A provide a Th2/Th17-polarized inflammatory milieu in favor of TGF-β1 to induce bronchial epithelial-mesenchymal transition (EMT).
201349
2 201539
3 201333
4 201329
5 202024
6 202223
7 201323
8 201423
9 202323
10 202023
11 202321
12 202019
13 202018
14 202118
15 202017
16 202315
17 202215
18 201115
19
ANP/NPRA signaling preferentially mediates Th2 responses in favor of pathological processes during the course of acute allergic asthma.
201515
20 202314

About Libing Ma

Libing Ma is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Immunology, Epidemiology and Infectious Diseases, having authored 67 papers that have together received 704 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (18 papers), IL-33, ST2, and ILC Pathways (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers), Immune Cell Function and Interaction (7 papers), Neonatal Respiratory Health Research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (3 papers) and Pediatric health and respiratory diseases (3 papers). The work is most often cited by research in Immunology (134 citations), Modeling and Simulation (27 citations), Health (44 citations), Pulmonary and Respiratory Medicine (137 citations) and Physiology (111 citations). Libing Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xudong Xiang, Shaokun Liu, Subo Gong, Xiaoying Ji, Weizhong Yang, Luzhao Feng, Shuyuan Chu, Ping Chen, Ting Zhang and Jianwei Huang. Their work appears in journals such as International Journal of COPD, Experimental Lung Research, Journal of Medical Internet Research, BMC Pulmonary Medicine and Oxidative Medicine and Cellular Longevity.

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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