Weidong Wang

1.8k citations
50 papers · 1.3k · h-index 16

Impact in

Papers in

    • Endoplasmic Reticulum Stress and Disease 10
    • Cellular transport and secretion 3
    • Pancreatic function and diabetes 8

Weidong Wang

48 papers receiving 1.3k citations

Peers

Weidong Wang
Comparison fields: 5 of 105
  • Aging 44
  • Cell Biology 262
  • Sensory Systems 60
  • Cellular and Molecular Neuroscience 186
  • Molecular Biology 677
Replace Rebecca Berdeaux with:
Rebecca Berdeaux United States
Bindi Patel United States
Vincenzo A. Gennarino United States
Gerald L. Stelmack Canada
Yoshinori Okada Japan
Juan Olate Chile
Una FitzGerald Ireland
Jeong-Woong Lee South Korea
Michael Nefedov United States
Yuki Muranishi Japan
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Citations per field
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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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004213
2 2005157
3 1998154
4 201196
5 200979
6 201379
7 201054
8 201753
9 201452
10 200944
11 201729
12 199725
13 202425
14 201419
15 202119
16 201018
17 201615
18 202214
19 201914
20 201614

About Weidong Wang

Weidong Wang is a scholar working on Cell Biology, Surgery, Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (10 papers), Pancreatic function and diabetes (8 papers), Neurobiology and Insect Physiology Research (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Diabetes and associated disorders (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Cellular transport and secretion (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Aging (44 citations), Cell Biology (262 citations), Sensory Systems (60 citations), Cellular and Molecular Neuroscience (186 citations) and Molecular Biology (677 citations). Weidong Wang has collaborated with scholars based in United States, China and Hungary. Frequent co-authors include Gary Struhl, Hui‐Ying Lim, Thomas Van De Water, Thomas Lufkin, Rolf Bodmer, Karen Ocorr, Robert Wessells, Matthew S. Tremblay, Xu Wu and Peter G. Schultz. Their work appears in journals such as Development, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Sleep Medicine 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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