Ying Di
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Internal Medicine top 10%
Papers in
-
- RNA Interference and Gene Delivery 4
- Oncology 9
- Lymphatic System and Diseases 5
- CAR-T cell therapy research 3
- Co-authors
- Steve P. Watson (12 shared papers)Leonard W. Seymour (4 shared papers)Julie Rayes (5 shared papers)Kerry D. Fisher (4 shared papers)Siân Lax (2 shared papers)Surasak Wichaiyo (2 shared papers)Kassiani Skordilis (1 shared paper)Beata Grygielska (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 659 citations
Peers
Comparison fields: 5 of 69
- Hematology 135
- Internal Medicine 28
- Oncology 158
- Immunology 103
- 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 | 117 | |
| 2 | 2016 | 59 | |
| 3 | 2016 | 43 | |
| 4 | 2017 | 41 | |
| 5 | 2006 | 38 | |
| 6 | 2015 | 36 | |
| 7 | 2011 | 33 | |
| 8 | 2014 | 30 | |
| 9 | 2014 | 29 | |
| 10 | 2014 | 25 | |
| 11 | 2021 | 22 | |
| 12 | 2012 | 22 | |
| 13 | 2021 | 21 | |
| 14 | 2020 | 18 | |
| 15 | 2021 | 18 | |
| 16 | 2022 | 15 | |
| 17 | 2014 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2021 | 11 | |
| 20 | 2021 | 8 |
About Ying Di
Ying Di is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Immunology, having authored 33 papers that have together received 669 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Lymphatic System and Diseases (5 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), CAR-T cell therapy research (3 papers), Traditional and Medicinal Uses of Annonaceae (2 papers), Lymphatic Disorders and Treatments (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Hematology (135 citations), Internal Medicine (28 citations), Oncology (158 citations), Immunology (103 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, Julie Rayes, Kerry D. Fisher, Siân Lax, Surasak Wichaiyo, Kassiani Skordilis, Beata Grygielska, Stephanie K. Watson and Stuart W. Smith. 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.