Daniel E. Bergsagel
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments 32
- Chronic Myeloid Leukemia Treatments 9
- Acute Myeloid Leukemia Research 5
- Oncology top 2%
- Peptidase Inhibition and Analysis 14
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 6
- Molecular Biology top 10%
- Protein Degradation and Inhibitors 10
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 8
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- Acute Lymphoblastic Leukemia research 5
- Co-authors
- E. A. McCullochR. HasselbackR. Neil MacDonaldAnthony B. MillerG. R. LangleyA BaileyAndrew R. BelchMakio Ogawa
- Cited by
- HematologyOncologyGenetics
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Daniel E. Bergsagel
71 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 108
- Hematology 1.6k
- Oncology 1.2k
- Genetics 382
- Molecular Biology 1.1k
- Pathology and Forensic Medicine 205
Countries citing papers authored by Daniel E. Bergsagel
This map shows the geographic impact of Daniel E. Bergsagel'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 Daniel E. Bergsagel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Bergsagel more than expected).
Fields of papers citing papers by Daniel E. Bergsagel
This network shows the impact of papers produced by Daniel E. Bergsagel. 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 Daniel E. Bergsagel. The network helps show where Daniel E. Bergsagel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel E. Bergsagel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 2 | |
| 2 | 1999 | 5 | |
| 3 | Myeloma : biology and management | 1995 | 78 |
| 4 | 1995 | 76 | |
| 5 | 1995 | 12 | |
| 6 | 1994 | 16 | |
| 7 | 1992 | 19 | |
| 8 | 1991 | 145 | |
| 9 | 1990 | 4 | |
| 10 | 1989 | 42 | |
| 11 | 1988 | 3 | |
| 12 | 1988 | 30 | |
| 13 | 1985 | 21 | |
| 14 | 1975 | 11 | |
| 15 | 1973 | 22 | |
| 16 | 1972 | 25 | |
| 17 | 1968 | 112 | |
| 18 | 1967 | 47 | |
| 19 | 1965 | 1 | |
| 20 | 1962 | 6 |
About Daniel E. Bergsagel
Daniel E. Bergsagel is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (32 papers), Peptidase Inhibition and Analysis (14 papers), Protein Degradation and Inhibitors (10 papers), Chronic Myeloid Leukemia Treatments (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Myeloid Leukemia Research (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Hematology (1.6k citations), Oncology (1.2k citations), Genetics (382 citations), Molecular Biology (1.1k citations) and Pathology and Forensic Medicine (205 citations). Daniel E. Bergsagel has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include E. A. McCulloch, R. Hasselback, R. Neil MacDonald, Anthony B. Miller, G. R. Langley, A Bailey, Andrew R. Belch, Makio Ogawa, Philip J. Migliore and Fred Valeriote. Their work appears in journals such as Blood, British Journal of Haematology, Science, Cancer and Annual Review of Medicine.
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.