Rong Wang

4.1k citations
113 papers · 3.0k indexed · h-index 31

Impact in

  • Physiology top 2%
    • Alzheimer's disease research and treatments
    • Prion Diseases and Protein Misfolding
    • Ubiquitin and proteasome pathways

Papers in

    • Glycosylation and Glycoproteins Research 8
    • ATP Synthase and ATPases Research 6
    • PI3K/AKT/mTOR signaling in cancer 5
    • Mitochondrial Function and Pathology 5
    • Lipid Membrane Structure and Behavior 5

Rong Wang

105 papers receiving 3.0k citations

Peers

Rong Wang
Comparison fields: 5 of 137
  • Physiology 806
  • Molecular Biology 1.8k
  • Cell Biology 336
  • Biomaterials 252
  • Neurology 158
Replace Fen Yang with:
Fen Yang China
Kai Zhang China
Katarzyna Kwiatkowska Poland
Hiroyuki Fukuda Japan
Peter Hortschansky Germany
Fengyi Wan United States
Yili Yang China
Ben Loos South Africa
Dae‐Hyuk Kweon South Korea
Stefan Barth Germany
Rong Wang relative to Fen Yang China Fen Yang's profile →
Citations per field
00.5×1.5×1.8×
Fen Yang · 1×
Citations per year

Countries citing papers authored by Rong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Rong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005327
2 2004196
3 1993182
4 2003153
5 1999140
6 2021132
7 199888
8 200777
9 201568
10 200967
11 201763
12 200763
13 199861
14 201459
15 201359
16 202155
17 200255
18 201749
19 202149
20 199148

About Rong Wang

Rong Wang is a scholar working on Structural Biology, Molecular Biology, Biomaterials, Endocrinology and Biochemistry, having authored 113 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), ATP Synthase and ATPases Research (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Mitochondrial Function and Pathology (5 papers), Lipid Membrane Structure and Behavior (5 papers), Pancreatic function and diabetes (4 papers), Alzheimer's disease research and treatments (4 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Physiology (806 citations), Molecular Biology (1.8k citations), Cell Biology (336 citations), Biomaterials (252 citations) and Neurology (158 citations). Rong Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Georgia Dolios, Sacha Uljon, Xiaochun Li, Jianping Ding, Colin Thorpe, Xiao‐Song Xie, Yasuo Ihara, Yu Tanimura, Fuyuki Kametani and David A. Harris. Their work appears in journals such as Nature Communications, Frontiers in Plant Science, Biochemistry, Proceedings of the National Academy of Sciences and Cell Research.

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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