Brian G.M. Durie
- Hematology top 0.01%
- Molecular Biology top 0.5%
- Oncology top 0.1%
- Genetics top 0.2%
- Immunology top 2%
- Co-authors
- Sydney E. SalmonBart BarlogieDiane H. RussellDavid S. AlbertsJesús F. San MiguelPieter SonneveldThomas E. MoonB Soehnlen
- Topics
- Multiple Myeloma Research and Treatments (242 papers)Protein Degradation and Inhibitors (78 papers)Cancer Treatment and Pharmacology (65 papers)
- Cited by
- HematologyOncologyGenetics
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Brian G.M. Durie
275 papers receiving 14.9k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Hematology 11.6k
- Molecular Biology 8.7k
- Oncology 7.9k
- Genetics 1.9k
- Immunology 1.0k
Countries citing papers authored by Brian G.M. Durie
This map shows the geographic impact of Brian G.M. Durie'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 Brian G.M. Durie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian G.M. Durie more than expected).
Fields of papers citing papers by Brian G.M. Durie
This network shows the impact of papers produced by Brian G.M. Durie. 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 Brian G.M. Durie. The network helps show where Brian G.M. Durie may publish in the future.
Co-authorship network of co-authors of Brian G.M. Durie
This figure shows the co-authorship network connecting the top 25 collaborators of Brian G.M. Durie. A scholar is included among the top collaborators of Brian G.M. Durie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian G.M. Durie. Brian G.M. Durie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 92 | |
| 9 | 10 | |
| 10 | 29 | |
| 11 | 2 | |
| 12 | 48 | |
| 13 | 5 | |
| 14 | IMWG consensus on risk stratification in multiple myelomabreakdown → | 413 |
| 15 | Retrospective analysis of the long term safety of lenalidomide (Len)±dexamethasone (Dex) in relapsed/refractory multiple myeloma (RRMM) patients (pts): analysis of pooled data and incidence rates (IR) of second primary malignancy (SPM) | 4 |
| 16 | 103 | |
| 17 | 173 | |
| 18 | 324 | |
| 19 | 23 | |
| 20 | Polyamines as markers of response and disease activity in cancer chemotherapy. | 170 |
About Brian G.M. Durie
Brian G.M. Durie is a scholar working on Hematology, Oncology and Genetics, having authored 289 papers that have together received 15.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (242 papers), Protein Degradation and Inhibitors (78 papers) and Cancer Treatment and Pharmacology (65 papers). The work is most often cited by research in Hematology (11.6k citations), Oncology (7.9k citations) and Genetics (1.9k citations). Brian G.M. Durie has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Sydney E. Salmon, Bart Barlogie, Diane H. Russell, David S. Alberts, Jesús F. San Miguel, Pieter Sonneveld, Thomas E. Moon, B Soehnlen, Kazuyuki Shimizu and Robert A. Kyle. Their work appears in journals such as Science, New England Journal of Medicine and The Lancet.
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.