Hao Dun
Impact in
- Clinical Biochemistry top 1%
- Advanced Glycation End Products research
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Renal Transplantation Outcomes and Treatments 6
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Co-authors
- Ann Marie Schmidt (4 shared papers)Nikalesh Ippagunta (4 shared papers)Jean C. Emond (4 shared papers)Shan Zeng (3 shared papers)Wu Qu (3 shared papers)Nikki M. Feirt (3 shared papers)Yan Lü (3 shared papers)D. Kreisel (10 shared papers)
- Journals
- International Immunopharmacology (3 papers)The Journal of Heart and Lung Transplantation (2 papers)JCI Insight (2 papers)Transplantation (2 papers)Science Advances (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Hao Dun
26 papers receiving 871 citations
Peers
Comparison fields: 5 of 82
- Clinical Biochemistry 250
- Transplantation 54
- Immunology 207
- Hepatology 48
- Pharmacology 44
Countries citing papers authored by Hao Dun
This map shows the geographic impact of Hao Dun'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 Hao Dun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Dun more than expected).
Fields of papers citing papers by Hao Dun
This network shows the impact of papers produced by Hao Dun. 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 Hao Dun. The network helps show where Hao Dun may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Dun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 163 | |
| 2 | 2005 | 122 | |
| 3 | 2020 | 78 | |
| 4 | 2009 | 69 | |
| 5 | 2022 | 64 | |
| 6 | 2006 | 59 | |
| 7 | 2022 | 49 | |
| 8 | 2020 | 45 | |
| 9 | 2009 | 42 | |
| 10 | 2010 | 37 | |
| 11 | 2014 | 32 | |
| 12 | 2013 | 25 | |
| 13 | 2013 | 21 | |
| 14 | 2014 | 18 | |
| 15 | 2022 | 16 | |
| 16 | 2024 | 10 | |
| 17 | 2017 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2016 | 6 |
About Hao Dun
Hao Dun is a scholar working on Transplantation, Immunology, Clinical Biochemistry, Rheumatology and Genetics, having authored 28 papers that have together received 890 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), Transplantation: Methods and Outcomes (4 papers), Advanced Glycation End Products research (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Mesenchymal stem cell research (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Microstructure and mechanical properties (2 papers). The work is most often cited by research in Clinical Biochemistry (250 citations), Transplantation (54 citations), Immunology (207 citations), Hepatology (48 citations) and Pharmacology (44 citations). Hao Dun has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Ann Marie Schmidt, Nikalesh Ippagunta, Jean C. Emond, Shan Zeng, Wu Qu, Nikki M. Feirt, Yan Lü, D. Kreisel, Kory J. Lavine and James V. Guarrera. Their work appears in journals such as International Immunopharmacology, The Journal of Heart and Lung Transplantation, JCI Insight, Transplantation and Science Advances.
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.