Weidong Wang

1.9k citations
46 papers · 1.4k · h-index 16

Impact in

Papers in

Weidong Wang

45 papers receiving 1.3k citations

Peers

Weidong Wang
Comparison fields: 5 of 108
  • Aging 32
  • Cell Biology 254
  • Sensory Systems 59
  • Molecular Biology 667
  • Cellular and Molecular Neuroscience 161
Replace Jeong-Woong Lee with:
Jeong-Woong Lee South Korea
Yuki Muranishi Japan
Heba I. Diab United States
Thomas Timm Germany
Vincenzo Alessandro Gennarino United States
Chunmin Dong United States
Joris H. Robben Netherlands
Hong A. Xu China
Greg L. Harris United States
Wendy S. Pratt United Kingdom
Weidong Wang relative to Jeong-Woong Lee South Korea Jeong-Woong Lee's profile →
Citations per field
00.5×1.5×1.8×
Jeong-Woong Lee · 1×
Citations per year

Countries citing papers authored by Weidong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weidong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004213
2 2005155
3 1998151
4 2013112
5 201388
6 200982
7 201756
8 201455
9 201055
10 200945
11 201731
12 202430
13 199725
14 202122
15 201419
16 201018
17 202216
18 201615
19 201914
20 201614

About Weidong Wang

Weidong Wang is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Surgery, Immunology and Pharmacology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (9 papers), Pancreatic function and diabetes (8 papers), Neurobiology and Insect Physiology Research (6 papers), Diabetes and associated disorders (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Autophagy in Disease and Therapy (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Aging (32 citations), Cell Biology (254 citations), Sensory Systems (59 citations), Molecular Biology (667 citations) and Cellular and Molecular Neuroscience (161 citations). Weidong Wang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Gary Struhl, Thomas Lufkin, Thomas Van De Water, Hui‐Ying Lim, Xu Wu, Peter G. Schultz, Matthew S. Tremblay, Jae Wook Lee, Xia Wang and Xianjun Ren. Their work appears in journals such as Development, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Cell Reports and PLoS Genetics.

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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