Cong Wang

145 papers receiving 3.4k citations

Cong Wang's Hit Papers

The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019 2022 · 687 citations
6870+1+2Years since publication200400600

Peers

Cong Wang
Comparison fields: 5 of 155
  • Oncology 503
  • Developmental Neuroscience 46
  • Drug Discovery 3
  • Biophysics 74
  • Biomaterials 124
Replace Xing Liu with:
Xing Liu China
Ming Fei Zhao China
Masanori Fukushima Japan
Marc Steven Penn United States
Wenwen Li China
Qi Yan China
Bo Li China
Mei Wang China
Chao Xu United States
Wei Zheng China
Cong Wang relative to Xing Liu China Xing Liu's profile →
Citations per field
00.5×1.7×
Xing Liu · 1×
Citations per year

Countries citing papers authored by Cong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019
Hit paper breakdown →
2022687
2 201997
3 202390
4 202389
5 201880
6 201880
7 201679
8 202075
9 201571
10 202264
11 201560
12 200859
13 201159
14 202258
15 201757
16 201955
17 201554
18 202147
19 202043
20 201542

About Cong Wang

Cong Wang is a scholar working on Biophysics, Psychiatry and Mental health, Oncology, Pathology and Forensic Medicine and Electronic, Optical and Magnetic Materials, having authored 155 papers that have together received 3.5k indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (9 papers), Gold and Silver Nanoparticles Synthesis and Applications (9 papers), Cardiac Fibrosis and Remodeling (7 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Epilepsy research and treatment (6 papers), Gastric Cancer Management and Outcomes (6 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Oncology (503 citations), Developmental Neuroscience (46 citations), Drug Discovery (3 citations), Biophysics (74 citations) and Biomaterials (124 citations). Cong Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Cong Li, Jianrong Zhang, Yingmei Zhang, Jun Ren, Zhilong Ai, Junbo Ge, Tao Tang, Hua-Jun Zhou, Hanjin Cui and Ali Yang. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Aerospace Science and Technology, Journal of Nanobiotechnology, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Oncotarget.

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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