Qing Cheng

1.1k citations
23 papers · 722 indexed · 1 hit paper · h-index 9
Topics
Dermatologic Treatments and Research (3 papers)Immune Cell Function and Interaction (3 papers)Immunotherapy and Immune Responses (3 papers)
Partner nations
ChinaUnited StatesBrunei

In The Last Decade

Qing Cheng

19 papers receiving 709 citations

Hit Papers

Single-cell RNA-seq reveals fibroblast heterogeneity and ...2021202620222024202150100150200250

Peers

Qing Cheng
Comparison fields: 5 of 96
  • Molecular Biology 230
  • Oncology 169
  • Dermatology 134
  • Public Health, Environmental and Occupational Health 99
  • Immunology 94
Replace Anna Haemel with:
Anna Haemel United States
Van Anh Nguyen Austria
Zoltán Szekanecz Hungary
Anisha B. Patel United States
Viswanath Reddy Belum United States
A Laffón Spain
Jonathan S. Leventhal United States
Helen Benham Australia
Marlies de Graaf Netherlands
Christine Warren United States
Qing Cheng relative to Anna Haemel United States Anna Haemel's profile →
Citations per field
00.5×2.8×
Anna Haemel · 1×
Citations per year

Countries citing papers authored by Qing Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Qing Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Cheng. A scholar is included among the top collaborators of Qing Cheng 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 Qing Cheng. Qing Cheng 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 0
2 3
3 1
4 0
5 7
6 0
7 5
8 9
9
Single-cell RNA-seq reveals fibroblast heterogeneity and increased mesenchymal fibroblasts in human fibrotic skin diseasesbreakdown →
280
10 4
11 110
12 0
13 3
14 11
15 5
16 113
17 16
18 17
19 109
20 4

About Qing Cheng

Qing Cheng is a scholar working on Dermatology, Modeling and Simulation and Immunology, having authored 23 papers that have together received 722 indexed citations. Recurring topics across this work include Dermatologic Treatments and Research (3 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Dermatology (134 citations), Rehabilitation (71 citations) and Oncology (169 citations). Qing Cheng has collaborated with scholars based in China, United States and Brunei. Frequent co-authors include Zeng‐Hong Wu, Yun Tang, Cheng‐Cheng Deng, Bin Yang, Zhili Rong, Dingheng Zhu, Lixue Zhang, Jingjing Gu, Yongfei Hu and Yingping Xu. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications 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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