Qingning Su

1.5k citations
33 papers · 1.2k · h-index 20

Impact in

Papers in

Qingning Su

32 papers receiving 1.2k citations

Peers

Qingning Su
Comparison fields: 5 of 114
  • Cell Biology 200
  • Cellular and Molecular Neuroscience 187
  • Pulmonary and Respiratory Medicine 308
  • Molecular Biology 587
  • Cancer Research 127
Replace Victor van Berkel with:
Victor van Berkel United States
Shan Shao China
Zhijian Zhang China
Artur Cieślar‐Pobuda Poland
Yunlong Song China
Patthara Kongsuphol Singapore
Takeshi Yonezawa Japan
Ying Xiong China
Qingning Su relative to Victor van Berkel United States Victor van Berkel's profile →
Citations per field
00.5×1.5×2.1×
Victor van Berkel · 1×
Citations per year

Countries citing papers authored by Qingning Su

Since Specialization
Citations

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

Fields of papers citing papers by Qingning Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017128
2 2004121
3 201385
4 200080
5 200676
6 200171
7 201070
8 200965
9 201959
10 200852
11 201551
12 200946
13 201040
14 200835
15 200933
16 200731
17 200929
18 201024
19 200622
20 201220

About Qingning Su

Qingning Su is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Cellular and Molecular Neuroscience and Cell Biology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (8 papers), Neonatal Respiratory Health Research (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), S100 Proteins and Annexins (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cell Biology (200 citations), Cellular and Molecular Neuroscience (187 citations), Pulmonary and Respiratory Medicine (308 citations), Molecular Biology (587 citations) and Cancer Research (127 citations). Qingning Su has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Roger A. Johns, Daniel J. Angelini, Kazuyo Yamaji-Kegan, Chunling Fan, Claudia Gerwin, Hunter C. Champion, John Skinner, Sumiko Mochida, Zu‐Hang Sheng and Zu-Hang Sheng. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, American Journal of Respiratory Cell and Molecular Biology, The Journal of Immunology, The FASEB Journal and PLoS ONE.

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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