Ying Di
Impact in
- Hematology top 10%
- Platelet Disorders and Treatments
- Internal Medicine top 10%
Papers in
-
- RNA Interference and Gene Delivery 4
- Oncology 10
- Lymphatic System and Diseases 6
- CAR-T cell therapy research 3
- Co-authors
- Steve P. Watson (12 shared papers)Leonard W. Seymour (5 shared papers)Kerry D. Fisher (4 shared papers)Julie Rayes (5 shared papers)Siân Lax (2 shared papers)Surasak Wichaiyo (2 shared papers)Stephanie K. Watson (1 shared paper)Stuart W. Smith (1 shared paper)
- Journals
- Platelets (3 papers)Journal of Thrombosis and Haemostasis (3 papers)Molecular Therapy — Oncolytics (2 papers)Thrombosis and Haemostasis (2 papers)Biochemical Journal (2 papers)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
Ying Di
33 papers receiving 645 citations
Peers
Comparison fields: 5 of 70
- Hematology 138
- Internal Medicine 29
- Oncology 173
- Immunology 116
- Genetics 136
Countries citing papers authored by Ying Di
This map shows the geographic impact of Ying Di'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 Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Di more than expected).
Fields of papers citing papers by Ying Di
This network shows the impact of papers produced by Ying Di. 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 Di. The network helps show where Ying Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Di, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 116 | |
| 2 | 2016 | 58 | |
| 3 | 2016 | 43 | |
| 4 | 2017 | 40 | |
| 5 | 2006 | 37 | |
| 6 | 2015 | 35 | |
| 7 | 2011 | 33 | |
| 8 | 2014 | 29 | |
| 9 | 2014 | 29 | |
| 10 | 2014 | 25 | |
| 11 | 2012 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2022 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2014 | 14 | |
| 19 | 2021 | 11 | |
| 20 | 2021 | 8 |
About Ying Di
Ying Di is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Genetics, having authored 33 papers that have together received 654 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (9 papers), Lymphatic System and Diseases (6 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), Blood groups and transfusion (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), CAR-T cell therapy research (3 papers) and Traditional and Medicinal Uses of Annonaceae (2 papers). The work is most often cited by research in Hematology (138 citations), Internal Medicine (29 citations), Oncology (173 citations), Immunology (116 citations) and Genetics (136 citations). Ying Di has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Steve P. Watson, Leonard W. Seymour, Kerry D. Fisher, Julie Rayes, Siân Lax, Surasak Wichaiyo, Stephanie K. Watson, Stuart W. Smith, Kassiani Skordilis and Beata Grygielska. Their work appears in journals such as Platelets, Journal of Thrombosis and Haemostasis, Molecular Therapy — Oncolytics, Thrombosis and Haemostasis and Biochemical Journal.
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.