Feng Wang

117 papers receiving 4.8k citations

Hit Papers

The OsSPL16-GW7 regulatory module determines grain shape and simultaneously improves rice yield and grain quality 2015 · 525 citations
5252015202620182022100200300400500

Peers

Feng Wang
Comparison fields: 5 of 161
  • Infectious Diseases 1.2k
  • Molecular Medicine 245
  • Molecular Biology 2.2k
  • Oncology 810
  • Radiology, Nuclear Medicine and Imaging 615
Replace Xian‐En Zhang with:
Xian‐En Zhang China
Raymond J. Owens United Kingdom
Parastoo Azadi United States
Florian Kiefer Switzerland
Stefan T. Arold Saudi Arabia
Banumathi Sankaran United States
Hua Zhu China
Kanagalaghatta R. Rajashankar United States
Christos Colovos United States
Rongguang Zhang China
Feng Wang relative to Xian‐En Zhang China Xian‐En Zhang's profile →
Citations per field
00.5×2.7×
Xian‐En Zhang · 1×
Citations per year

Countries citing papers authored by Feng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20245
4 20243
5 20248
6 20241
7 20240
8 20230
9 202231
10 202214
11 20216
12 202013
13 201860
14 201615
15 201518
16
The OsSPL16-GW7 regulatory module determines grain shape and simultaneously improves rice yield and grain quality
Hit paper breakdown →
2015525
17 20141
18 2013177
19 201213
20 2007223

About Feng Wang

Feng Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Molecular Medicine, Molecular Biology and Microbiology, having authored 128 papers that have together received 4.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (33 papers), Tuberculosis Research and Epidemiology (14 papers), Glycosylation and Glycoproteins Research (13 papers), Protein purification and stability (8 papers), RNA and protein synthesis mechanisms (8 papers), CAR-T cell therapy research (8 papers), Microbial Community Ecology and Physiology (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (7 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Molecular Medicine (245 citations), Molecular Biology (2.2k citations), Oncology (810 citations) and Radiology, Nuclear Medicine and Imaging (615 citations). Feng Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peter G. Schultz, William R. Jacobs, James C. Sacchettini, James C. Sacchettini, Catherine Vilchèze, Gülçin Gülten, Xiaozhou Luo, Kun Wu, Yi Wang and Shuansuo Wang. Their work appears in journals such as Angewandte Chemie International Edition, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, ACS Chemical Biology and ChemCatChem.

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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