Daping Zhang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Carcinogens and Genotoxicity Assessment
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Circular RNAs in diseases 2
-
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Carcinogens and Genotoxicity Assessment 3
- Co-authors
- Hailing Cheng (2 shared papers)Ruili He (2 shared papers)Diana S‐L Chow (5 shared papers)Lei Zhang (1 shared paper)Bernard T. Golding (6 shared papers)Vincent H. Tam (2 shared papers)William P. Watson (4 shared papers)Danielle R. Rios (2 shared papers)
- Journals
- Chemical Research in Toxicology (3 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)Chemico-Biological Interactions (2 papers)Chemosphere (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Daping Zhang
16 papers receiving 472 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 252
- Transplantation 32
- Molecular Biology 292
- Aging 5
- Immunology 44
Countries citing papers authored by Daping Zhang
This map shows the geographic impact of Daping Zhang'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 Daping Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daping Zhang more than expected).
Fields of papers citing papers by Daping Zhang
This network shows the impact of papers produced by Daping Zhang. 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 Daping Zhang. The network helps show where Daping Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daping Zhang, 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 | 2018 | 151 | |
| 2 | 2017 | 96 | |
| 3 | 2021 | 38 | |
| 4 | 2015 | 32 | |
| 5 | 2001 | 32 | |
| 6 | 2016 | 23 | |
| 7 | 2019 | 20 | |
| 8 | 2020 | 18 | |
| 9 | 2014 | 18 | |
| 10 | 2004 | 11 | |
| 11 | 2016 | 9 | |
| 12 | 2003 | 8 | |
| 13 | 2016 | 8 | |
| 14 | 2011 | 6 | |
| 15 | 2000 | 4 | |
| 16 | 2022 | 3 |
About Daping Zhang
Daping Zhang is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Transplantation and Hematology, having authored 16 papers that have together received 477 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer-related molecular mechanisms research (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Free Radicals and Antioxidants (2 papers), Neonatal and fetal brain pathology (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (252 citations), Transplantation (32 citations), Molecular Biology (292 citations), Aging (5 citations) and Immunology (44 citations). Daping Zhang has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Hailing Cheng, Ruili He, Diana S‐L Chow, Lei Zhang, Lei Zhang, Bernard T. Golding, Vincent H. Tam, William P. Watson, Danielle R. Rios and Jamie L. Renbarger. Their work appears in journals such as Chemical Research in Toxicology, Journal of Pharmaceutical and Biomedical Analysis, Chemico-Biological Interactions, Chemosphere and Journal of Cellular Biochemistry.
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.