Diane Warren
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
Papers in
- Genetics 23
- Chronic Lymphocytic Leukemia Research 21
- Hematology 20
- Multiple Myeloma Research and Treatments 14
- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Irene M. Ghobrial (32 shared papers)Paul G. Richardson (31 shared papers)Kenneth C. Anderson (29 shared papers)Edie Weller (12 shared papers)Stacey Chuma (21 shared papers)Steven P. Treon (18 shared papers)Renee Leduc (14 shared papers)Janet Kunsman (14 shared papers)
- Journals
- Blood (26 papers)Journal of Clinical Oncology (2 papers)British Journal of Haematology (2 papers)Clinical Cancer Research (1 paper)Journal of Clinical Monitoring and Computing (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
Diane Warren
39 papers receiving 987 citations
Peers
Comparison fields: 5 of 61
- Genetics 528
- Hematology 525
- Pathology and Forensic Medicine 432
- Transplantation 32
- Immunology 214
Countries citing papers authored by Diane Warren
This map shows the geographic impact of Diane Warren'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 Diane Warren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Warren more than expected).
Fields of papers citing papers by Diane Warren
This network shows the impact of papers produced by Diane Warren. 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 Diane Warren. The network helps show where Diane Warren may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane Warren, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 127 | |
| 2 | 2014 | 126 | |
| 3 | 2010 | 116 | |
| 4 | 2010 | 101 | |
| 5 | 2008 | 101 | |
| 6 | 2010 | 96 | |
| 7 | 2015 | 60 | |
| 8 | 2013 | 37 | |
| 9 | 2013 | 35 | |
| 10 | 1988 | 32 | |
| 11 | 2012 | 18 | |
| 12 | 1987 | 17 | |
| 13 | 2008 | 11 | |
| 14 | 2021 | 10 | |
| 15 | Tailoring treatment for multiple myeloma patients with relapsed and refractory disease. | 2010 | 10 |
| 16 | 2011 | 10 | |
| 17 | 2009 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 2010 | 9 | |
| 20 | 2012 | 8 |
About Diane Warren
Diane Warren is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Molecular Biology and Oncology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (21 papers), Lymphoma Diagnosis and Treatment (15 papers), Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), HIV/AIDS drug development and treatment (4 papers), Peptidase Inhibition and Analysis (4 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Genetics (528 citations), Hematology (525 citations), Pathology and Forensic Medicine (432 citations), Transplantation (32 citations) and Immunology (214 citations). Diane Warren has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Irene M. Ghobrial, Paul G. Richardson, Kenneth C. Anderson, Edie Weller, Stacey Chuma, Steven P. Treon, Renee Leduc, Janet Kunsman, Brianna Harris and Meghan Rourke. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Clinical Cancer Research and Journal of Clinical Monitoring and Computing.
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.