Weirong Wang

2.9k citations
80 papers · 2.2k · h-index 29

Impact in

Papers in

Weirong Wang

78 papers receiving 2.1k citations

Peers

Weirong Wang
Comparison fields: 5 of 113
  • Geriatrics and Gerontology 219
  • Immunology 500
  • Molecular Biology 1.2k
  • Physiology 70
  • Radiology, Nuclear Medicine and Imaging 292
Replace Young‐Rae Lee with:
Young‐Rae Lee South Korea
Paola Signorelli Italy
Emeric Limagne France
Susan J. Zunino United States
Tianwen Gao China
Massimo Fantini Italy
Tomokazu Ohishi Japan
Hui Jing China
Alexander A. Chumanevich United States
Weirong Wang relative to Young‐Rae Lee South Korea Young‐Rae Lee's profile →
Citations per field
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Young‐Rae Lee · 1×
Citations per year

Countries citing papers authored by Weirong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weirong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999217
2 2011143
3 2022110
4 2001105
5 200186
6 201984
7 202067
8 201252
9 201751
10 201251
11 201350
12 200550
13 202047
14 201347
15 201443
16 200643
17 202140
18 201639
19 201838
20 201537

About Weirong Wang

Weirong Wang is a scholar working on Molecular Biology, Geriatrics and Gerontology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (16 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Antioxidant Activity and Oxidative Stress (6 papers), RNA Research and Splicing (5 papers), Crystallization and Solubility Studies (4 papers), RNA modifications and cancer (4 papers), CAR-T cell therapy research (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Geriatrics and Gerontology (219 citations), Immunology (500 citations), Molecular Biology (1.2k citations), Physiology (70 citations) and Radiology, Nuclear Medicine and Imaging (292 citations). Weirong Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Robert M. Krug, Jiye Zhang, Rong Lin, Stuart W. Peltz, Guangde Yang, Feng Yao, G.T. Montelione, Chen-ya Chien, Patricia A. Lynch and Rong Lin. Their work appears in journals such as mAbs, Experimental Cell Research, International Immunopharmacology, Scientific Reports and Acta Biochimica et Biophysica Sinica.

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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