Weijia Dong
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
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- Receptor Mechanisms and Signaling 4
- Biochemical and Structural Characterization 2
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- Neuropeptides and Animal Physiology 3
- Co-authors
- Robert Day (10 shared papers)Ping Zhu (4 shared papers)Nabil G. Seidah (4 shared papers)Michel Chrétien (3 shared papers)Bertolt Seidel (2 shared papers)Alain Boudreault (1 shared paper)Ajoy Basak (1 shared paper)Iris Lindberg (1 shared paper)
- Journals
- DNA and Cell Biology (3 papers)Autoimmunity Reviews (2 papers)Cell and Tissue Research (2 papers)Arthritis Research & Therapy (2 papers)Endocrinology (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Weijia Dong
17 papers receiving 734 citations
Peers
Comparison fields: 5 of 85
- Aging 46
- Endocrine and Autonomic Systems 95
- Cellular and Molecular Neuroscience 169
- Cell Biology 140
- Immunology 146
Countries citing papers authored by Weijia Dong
This map shows the geographic impact of Weijia Dong'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 Weijia Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijia Dong more than expected).
Fields of papers citing papers by Weijia Dong
This network shows the impact of papers produced by Weijia Dong. 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 Weijia Dong. The network helps show where Weijia Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijia Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 124 | |
| 2 | 2005 | 89 | |
| 3 | 1997 | 85 | |
| 4 | 1997 | 68 | |
| 5 | 2000 | 64 | |
| 6 | 1995 | 50 | |
| 7 | 1998 | 45 | |
| 8 | 2010 | 44 | |
| 9 | 2012 | 33 | |
| 10 | 2005 | 31 | |
| 11 | 2004 | 28 | |
| 12 | 1998 | 24 | |
| 13 | 2008 | 19 | |
| 14 | 2002 | 19 | |
| 15 | 1997 | 15 | |
| 16 | 2009 | 11 | |
| 17 | 1995 | 3 |
About Weijia Dong
Weijia Dong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Rheumatology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 752 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Cardiomyopathy and Myosin Studies (2 papers), Hypothalamic control of reproductive hormones (2 papers), Biochemical and Structural Characterization (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Aging (46 citations), Endocrine and Autonomic Systems (95 citations), Cellular and Molecular Neuroscience (169 citations), Cell Biology (140 citations) and Immunology (146 citations). Weijia Dong has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Robert Day, Ping Zhu, Nabil G. Seidah, Michel Chrétien, Bertolt Seidel, Alain Boudreault, Ajoy Basak, Iris Lindberg, Claude Lazure and Chunmei Fan. Their work appears in journals such as DNA and Cell Biology, Autoimmunity Reviews, Cell and Tissue Research, Arthritis Research & Therapy and Endocrinology.
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.