Ying Dong
- Molecular Biology top 5%
- Oncology top 5%
- Toxicology top 0.1%
- Genetics top 1%
- Biomedical Engineering top 5%
- Co-authors
- David A. BoothmanErik A. BeyJinming GaoJudith A. ClementsLong-Shan LiMalina PatelFarjana FattahJulio C. Morales
- Topics
- Coagulation, Bradykinin, Polyphosphates, and Angioedema (23 papers)Peptidase Inhibition and Analysis (10 papers)Bioactive Compounds and Antitumor Agents (9 papers)
- Cited by
- ToxicologyGeneticsOncology
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Ying Dong
69 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.5k
- Oncology 853
- Toxicology 636
- Genetics 612
- Biomedical Engineering 542
Countries citing papers authored by Ying Dong
This map shows the geographic impact of Ying 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 Ying Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Dong more than expected).
Fields of papers citing papers by Ying Dong
This network shows the impact of papers produced by Ying 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 Ying Dong. The network helps show where Ying Dong may publish in the future.
Co-authorship network of co-authors of Ying Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Dong. A scholar is included among the top collaborators of Ying Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Dong. Ying Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 142 | |
| 5 | 18 | |
| 6 | The Variation of Immune-related Enzyme Activities in the Coelomic Fluid of Sea Cucumber (Apostichopus japonicus) after Challenge with Different Bacteria | 4 |
| 7 | 24 | |
| 8 | Transforming the future of treatment for ovarian cancer | 1 |
| 9 | 32 | |
| 10 | Review of Poly (ADP-ribose) Polymerase (PARP) Mechanisms of Action and Rationale for Targeting in Cancer and Other Diseasesbreakdown → | 472 |
| 11 | 119 | |
| 12 | 31 | |
| 13 | 94 | |
| 14 | 75 | |
| 15 | 76 | |
| 16 | 74 | |
| 17 | 45 | |
| 18 | 113 | |
| 19 | 63 | |
| 20 | 8 |
About Ying Dong
Ying Dong is a scholar working on Toxicology, Genetics and Hematology, having authored 70 papers that have together received 3.5k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (23 papers), Peptidase Inhibition and Analysis (10 papers) and Bioactive Compounds and Antitumor Agents (9 papers). The work is most often cited by research in Toxicology (636 citations), Genetics (612 citations) and Oncology (853 citations). Ying Dong has collaborated with scholars based in Australia, China and United States. Frequent co-authors include David A. Boothman, Erik A. Bey, Jinming Gao, Judith A. Clements, Long-Shan Li, Malina Patel, Farjana Fattah, Julio C. Morales, Kathryn E. Reinicke and Melissa S. Bentle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.