Runyu Dong
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
- Oncology 7
- Peptidase Inhibition and Analysis 4
-
- Signaling Pathways in Disease 2
- Circular RNAs in diseases 2
- Co-authors
- Martin Hegen (4 shared papers)Chikao Morimoto (3 shared papers)Junichi Kameoka (2 shared papers)S F Schlossman (2 shared papers)Stuart F. Schlossman (2 shared papers)Yan Xu (1 shared paper)Toshiaki Tanaka (1 shared paper)Kouichi Tachibana (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)Journal of Clinical Oncology (2 papers)Journal of Nanobiotechnology (1 paper)Journal of Translational Medicine (1 paper)Immunology (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Runyu Dong
12 papers receiving 472 citations
Peers
Comparison fields: 5 of 56
- Physiology 112
- Oncology 296
- Cellular and Molecular Neuroscience 126
- Cancer Research 84
- Immunology 90
Countries citing papers authored by Runyu Dong
This map shows the geographic impact of Runyu 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 Runyu Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runyu Dong more than expected).
Fields of papers citing papers by Runyu Dong
This network shows the impact of papers produced by Runyu 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 Runyu Dong. The network helps show where Runyu Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Runyu 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 | 1996 | 177 | |
| 2 | 1997 | 98 | |
| 3 | 1997 | 73 | |
| 4 | 1994 | 23 | |
| 5 | 1998 | 23 | |
| 6 | 2024 | 22 | |
| 7 | 2004 | 17 | |
| 8 | 2018 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2025 | 11 | |
| 11 | 2024 | 5 | |
| 12 | 2004 | 5 |
About Runyu Dong
Runyu Dong is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 479 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Signaling Pathways in Disease (2 papers), Neuropeptides and Animal Physiology (2 papers), Cell Adhesion Molecules Research (2 papers), Ferroptosis and cancer prognosis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Physiology (112 citations), Oncology (296 citations), Cellular and Molecular Neuroscience (126 citations), Cancer Research (84 citations) and Immunology (90 citations). Runyu Dong has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Martin Hegen, Chikao Morimoto, Junichi Kameoka, S F Schlossman, Stuart F. Schlossman, Yan Xu, Toshiaki Tanaka, Kouichi Tachibana, D. Cho and C Morimoto. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Oncology, Journal of Nanobiotechnology, Journal of Translational Medicine and Immunology.
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.