Wei Ding
Impact in
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 98
- Chronic Lymphocytic Leukemia Research 98
-
- Lymphoma Diagnosis and Treatment 46
- Co-authors
- Neil E. Kay (78 shared papers)Timothy G. Call (71 shared papers)Tait D. Shanafelt (51 shared papers)Susan M. Schwager (42 shared papers)Susan L. Slager (59 shared papers)Sameer A. Parikh (67 shared papers)José F. Leis (51 shared papers)Kari G. Rabe (33 shared papers)
- Journals
- Blood (40 papers)Journal of Clinical Oncology (7 papers)American Journal of Hematology (6 papers)British Journal of Haematology (6 papers)Blood Cancer Journal (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Wei Ding
111 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 85
- Genetics 1.7k
- Pathology and Forensic Medicine 1.0k
- Hematology 430
- Immunology 659
- Oncology 377
Countries citing papers authored by Wei Ding
This map shows the geographic impact of Wei Ding'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 Wei Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ding more than expected).
Fields of papers citing papers by Wei Ding
This network shows the impact of papers produced by Wei Ding. 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 Wei Ding. The network helps show where Wei Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Ding, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 256 | |
| 2 | 2013 | 160 | |
| 3 | 2010 | 101 | |
| 4 | 2016 | 96 | |
| 5 | 2019 | 81 | |
| 6 | 2008 | 79 | |
| 7 | 2015 | 79 | |
| 8 | 2013 | 75 | |
| 9 | 2015 | 75 | |
| 10 | 2009 | 68 | |
| 11 | 2015 | 61 | |
| 12 | 2018 | 54 | |
| 13 | 2013 | 54 | |
| 14 | 2009 | 53 | |
| 15 | 2023 | 50 | |
| 16 | 2019 | 43 | |
| 17 | 2021 | 41 | |
| 18 | 2020 | 40 | |
| 19 | 2018 | 39 | |
| 20 | 2020 | 35 |
About Wei Ding
Wei Ding is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Pulmonary and Respiratory Medicine and Hematology, having authored 116 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (98 papers), Lymphoma Diagnosis and Treatment (46 papers), Immunodeficiency and Autoimmune Disorders (23 papers), Advanced Breast Cancer Therapies (14 papers), Gastrointestinal Tumor Research and Treatment (9 papers), Chronic Myeloid Leukemia Treatments (7 papers), Acute Lymphoblastic Leukemia research (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Genetics (1.7k citations), Pathology and Forensic Medicine (1.0k citations), Hematology (430 citations), Immunology (659 citations) and Oncology (377 citations). Wei Ding has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Neil E. Kay, Timothy G. Call, Tait D. Shanafelt, Susan M. Schwager, Susan L. Slager, Sameer A. Parikh, José F. Leis, Kari G. Rabe, Diane F. Jelinek and Clive S. Zent. Their work appears in journals such as Blood, Journal of Clinical Oncology, American Journal of Hematology, British Journal of Haematology and Blood Cancer 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.