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
-
- Carcinogens and Genotoxicity Assessment 3
- Cancer-related molecular mechanisms research 2
-
- Renal Transplantation Outcomes and Treatments 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)Danielle R. Rios (2 shared papers)William P. Watson (4 shared papers)
- Journals
- Chemical Research in Toxicology (3 papers)Chemico-Biological Interactions (2 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)Chemical Communications (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Daping Zhang
16 papers receiving 505 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 229
- Transplantation 33
- Molecular Biology 259
- Aging 5
- Immunology 34
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 | 155 | |
| 2 | 2017 | 100 | |
| 3 | 2021 | 48 | |
| 4 | 2015 | 36 | |
| 5 | 2001 | 34 | |
| 6 | 2016 | 25 | |
| 7 | 2019 | 21 | |
| 8 | 2014 | 20 | |
| 9 | 2020 | 18 | |
| 10 | 2004 | 11 | |
| 11 | 2016 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2003 | 8 | |
| 14 | 2011 | 6 | |
| 15 | 2000 | 5 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 0 |
About Daping Zhang
Daping Zhang is a scholar working on Cancer Research, Transplantation, Hematology, Organic Chemistry and Spectroscopy, having authored 17 papers that have together received 508 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Free Radicals and Antioxidants (2 papers), Biochemical and Molecular Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Neonatal and fetal brain pathology (2 papers) and Synthetic Organic Chemistry Methods (1 paper). The work is most often cited by research in Cancer Research (229 citations), Transplantation (33 citations), Molecular Biology (259 citations), Aging (5 citations) and Immunology (34 citations). Daping Zhang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hailing Cheng, Ruili He, Diana S‐L Chow, Lei Zhang, Lei Zhang, Bernard T. Golding, Vincent H. Tam, Danielle R. Rios, William P. Watson and Lei Wu. Their work appears in journals such as Chemical Research in Toxicology, Chemico-Biological Interactions, Journal of Pharmaceutical and Biomedical Analysis, Chemical Communications and Frontiers in Pharmacology.
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.