Jieming Qu

10.0k citations
116 papers · 4.0k indexed · 2 hit papers · h-index 29
Topics
Neonatal Respiratory Health Research (13 papers)COVID-19 Clinical Research Studies (13 papers)Immune Response and Inflammation (12 papers)
Journals
Journal of Clinical InvestigationNature CommunicationsSHILAP Revista de lepidopterología
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Jieming Qu

111 papers receiving 4.0k citations

Hit Papers

Human Mesenchymal Stem Cell Microvesicles for Treatment o...201320262017202120132022100200300400500

Peers

Jieming Qu
Comparison fields: 5 of 153
  • Molecular Biology 1.6k
  • Pulmonary and Respiratory Medicine 999
  • Infectious Diseases 842
  • Epidemiology 587
  • Genetics 541
Replace Susanne Herold with:
Susanne Herold Germany
Jason Abbott Australia
Joon Chang South Korea
Hartmut Bertz Germany
Kyoung Un Park South Korea
M. Stern France
Joseph P. Mizgerd United States
Reto A. Schuepbach Switzerland
Martine Reynaud‐Gaubert France
Masato Fujisawa Japan
Jieming Qu relative to Susanne Herold Germany Susanne Herold's profile →
Citations per field
00.5×4.3×
Susanne Herold · 1×
Citations per year

Countries citing papers authored by Jieming Qu

Since Specialization
Citations

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

Fields of papers citing papers by Jieming Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jieming Qu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 3
4 6
5 1
6 4
7 4
8 34
9 3
10 32
11 28
12 2
13 17
14 106
15 25
16 5
17
A Deep Learning Pipeline for Accurate Differential Diagnosis between Novel Coronavirus Pneumonia and Influenza Pneumonia
0
18
Immune imbalance mechanism and intervention strategy in patients with Coronavirus disease 2019 (COVID-19)
6
19 137
20 2

About Jieming Qu

Jieming Qu is a scholar working on Molecular Medicine, Infectious Diseases and Internal Medicine, having authored 116 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (13 papers), COVID-19 Clinical Research Studies (13 papers) and Immune Response and Inflammation (12 papers). The work is most often cited by research in Molecular Medicine (291 citations), Genetics (541 citations) and Infectious Diseases (842 citations). Jieming Qu has collaborated with scholars based in China, United States and France. Frequent co-authors include Yinggang Zhu, Xinxin Zhang, Min Zhou, Antoine Monsel, Jing Zhang, Jae Woo Lee, Jason Abbott, Michael A. Matthay, Xiaomei Feng and Xiaohui Fang. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

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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