Nicholas Burwick
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 19
- Multiple Myeloma Research and Treatments 16
- Chronic Myeloid Leukemia Treatments 3
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- Protein Degradation and Inhibitors 5
- Co-authors
- Sanjai Sharma (1 shared paper)Akiko Shimamura (4 shared papers)Irene M. Ghobrial (11 shared papers)Aldo M. Roccaro (11 shared papers)Xavier Leleu (9 shared papers)Feda Azab (8 shared papers)Bertal H. Aktas (1 shared paper)Abdel Kareem Azab (8 shared papers)
- Journals
- Blood (12 papers)Annals of Hematology (2 papers)Bone Marrow Transplantation (2 papers)European Journal Of Haematology (2 papers)Seminars in Hematology (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Nicholas Burwick
35 papers receiving 748 citations
Peers
Comparison fields: 5 of 63
- Hematology 313
- Genetics 245
- Pathology and Forensic Medicine 173
- Immunology 167
- Oncology 171
Countries citing papers authored by Nicholas Burwick
This map shows the geographic impact of Nicholas Burwick'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 Nicholas Burwick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Burwick more than expected).
Fields of papers citing papers by Nicholas Burwick
This network shows the impact of papers produced by Nicholas Burwick. 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 Nicholas Burwick. The network helps show where Nicholas Burwick may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas Burwick, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 92 | |
| 2 | 2008 | 88 | |
| 3 | 2018 | 79 | |
| 4 | 2008 | 65 | |
| 5 | 2012 | 55 | |
| 6 | 2021 | 53 | |
| 7 | 2014 | 38 | |
| 8 | 2008 | 37 | |
| 9 | 2011 | 35 | |
| 10 | 2017 | 33 | |
| 11 | 2014 | 29 | |
| 12 | 2017 | 22 | |
| 13 | 2018 | 17 | |
| 14 | 2018 | 16 | |
| 15 | 2014 | 15 | |
| 16 | 2015 | 11 | |
| 17 | 2017 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2013 | 6 | |
| 20 | 2008 | 6 |
About Nicholas Burwick
Nicholas Burwick is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 36 papers that have together received 753 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Chronic Lymphocytic Leukemia Research (11 papers), Cancer Treatment and Pharmacology (5 papers), Protein Degradation and Inhibitors (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Hematology (313 citations), Genetics (245 citations), Pathology and Forensic Medicine (173 citations), Immunology (167 citations) and Oncology (171 citations). Nicholas Burwick has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Sanjai Sharma, Akiko Shimamura, Irene M. Ghobrial, Aldo M. Roccaro, Xavier Leleu, Feda Azab, Bertal H. Aktas, Abdel Kareem Azab, Antonio Sacco and Judith Runnels. Their work appears in journals such as Blood, Annals of Hematology, Bone Marrow Transplantation, European Journal Of Haematology and Seminars in Hematology.
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.