Congcong Li

3.2k citations
79 papers · 1.2k indexed · h-index 21

Impact in

Papers in

Congcong Li

73 papers receiving 1.2k citations

Peers

Congcong Li
Comparison fields: 5 of 144
  • Reproductive Medicine 61
  • Cognitive Neuroscience 125
  • Pulmonary and Respiratory Medicine 211
  • Pharmacology 55
  • Computer Vision and Pattern Recognition 125
Replace Aijun Liu with:
Aijun Liu China
Jong Min Baek South Korea
Juan Carlos Prieto United States
Jung Won Kang South Korea
Dongdong Xie China
Hyun-Seok Kim South Korea
Yutaka Suzuki Japan
Shuxia Li China
Wang China
Congcong Li relative to Aijun Liu China Aijun Liu's profile →
Citations per field
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Aijun Liu · 1×
Citations per year

Countries citing papers authored by Congcong Li

Since Specialization
Citations

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

Fields of papers citing papers by Congcong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009196
2 201552
3 201851
4 201947
5 201444
6 201541
7 202037
8 201437
9 201934
10 201434
11 202233
12 201732
13 202030
14 202029
15 201729
16 201729
17 201728
18 201427
19 201723
20 201821

About Congcong Li

Congcong Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Epidemiology and Immunology, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (6 papers), Tracheal and airway disorders (4 papers), Autophagy in Disease and Therapy (4 papers), CAR-T cell therapy research (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Bacterial biofilms and quorum sensing (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Reproductive Medicine (61 citations), Cognitive Neuroscience (125 citations), Pulmonary and Respiratory Medicine (211 citations), Pharmacology (55 citations) and Computer Vision and Pattern Recognition (125 citations). Congcong Li has collaborated with scholars based in China, United States and India. Frequent co-authors include Tsuhan Chen, Faguang Jin, Qingqing Liu, Changshui Xu, Xi Lü, Lingyan Zhou, Ling Gao, Wei Liu, Aihong Wang and Zhichao Li. Their work appears in journals such as Expert Review of Respiratory Medicine, Scientific Reports, Frontiers in Physiology, Frontiers in Bioengineering and Biotechnology and OncoImmunology.

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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