Guangcun Cheng

1.3k citations
10 papers · 948 indexed · 1 hit paper · h-index 8
Topics
Chemokine receptors and signaling (4 papers)Ubiquitin and proteasome pathways (2 papers)Immunotherapy and Immune Responses (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Guangcun Cheng

10 papers receiving 940 citations

Hit Papers

CXCL12 / CXCR4 / CXCR7 chemokine axis and cancer progression20102026201520202010200400600

Peers

Guangcun Cheng
Comparison fields: 5 of 85
  • Oncology 561
  • Molecular Biology 380
  • Immunology 340
  • Cancer Research 183
  • Pulmonary and Respiratory Medicine 98
Replace Marina Kochetkova with:
Marina Kochetkova Australia
Hillary J. Millar United States
Chris K. Neeley United States
Michele Minopoli Italy
Hallvard Haugen Norway
Jessica C.A. Bouma-ter Steege Netherlands
Mélanie Tichet France
Christophe Schneider France
Anna Passarelli Italy
Jay Overholser United States
Guangcun Cheng relative to Marina Kochetkova Australia Marina Kochetkova's profile →
Citations per field
00.5×
Marina Kochetkova · 1×
Citations per year

Countries citing papers authored by Guangcun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Guangcun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangcun Cheng

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 4
2 16
3 71
4 43
5 71
6 51
7 50
8 32
9
CXCL12 / CXCR4 / CXCR7 chemokine axis and cancer progressionbreakdown →
605
10 5

About Guangcun Cheng

Guangcun Cheng is a scholar working on Cancer Research, Oncology and Immunology and Allergy, having authored 10 papers that have together received 948 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (4 papers), Ubiquitin and proteasome pathways (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Oncology (561 citations), Immunology (340 citations) and Cancer Research (183 citations). Guangcun Cheng has collaborated with scholars based in China and United States. Frequent co-authors include Mingang Hao, Xueqing Sun, Xiaoming Zhou, Jianghua Zheng, Jianhua Wang, Kenneth J. Pienta, Russell S. Taichman, Jian Zhang, Jinglong Wang and Gang Xiao. Their work appears in journals such as Cancer Research, Clinical Cancer Research and Molecular Cancer.

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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