D. Hewett
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Immunology top 5%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
Papers in
- Hematology 22
- Multiple Myeloma Research and Treatments 20
-
- Cell Adhesion Molecules Research 4
- Co-authors
- Andrew N. J. McKenzieHelen E. JolinJillian L. BarlowPadraic G. FallonNiamh E. ManganAyan DasvarmaSarah J. BallantyneAnn McIlgorm
- Journals
- Cytogenetic and Genome Research (6 papers)British Journal of Haematology (3 papers)Neoplasia (3 papers)Human Molecular Genetics (2 papers)Leukemia (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
D. Hewett
41 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Hematology 572
- Immunology 644
- Genetics 696
- Genetics 218
- Cancer Research 246
Countries citing papers authored by D. Hewett
This map shows the geographic impact of D. Hewett'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 D. Hewett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Hewett more than expected).
Fields of papers citing papers by D. Hewett
This network shows the impact of papers produced by D. Hewett. 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 D. Hewett. The network helps show where D. Hewett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Hewett, 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 | 2025 | 3 | |
| 2 | 2023 | 4 | |
| 3 | 2020 | 10 | |
| 4 | 2020 | 18 | |
| 5 | 2020 | 27 | |
| 6 | 2020 | 4 | |
| 7 | 2019 | 63 | |
| 8 | 2018 | 89 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 16 | |
| 11 | 2015 | 34 | |
| 12 | 2014 | 37 | |
| 13 | 2009 | 254 | |
| 14 | Identification of an interleukin (IL)-25–dependent cell population that provides IL-4, IL-5, and IL-13 at the onset of helminth expulsion Hit paper breakdown → | 2006 | 596 |
| 15 | 1998 | 73 | |
| 16 | 1997 | 155 | |
| 17 | 1997 | 32 | |
| 18 | 1995 | 84 | |
| 19 | Differential allelic expression of a fibrillin gene (FBN1) in patients with Marfan syndrome. | 1994 | 25 |
| 20 | 1991 | 3 |
About D. Hewett
D. Hewett is a scholar working on Hematology, Immunology and Allergy, Genetics, Oncology and Cancer Research, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (20 papers), Protein Degradation and Inhibitors (9 papers), Connective tissue disorders research (6 papers), Chemokine receptors and signaling (6 papers), Ubiquitin and proteasome pathways (4 papers), Protease and Inhibitor Mechanisms (4 papers), Cell Adhesion Molecules Research (4 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Hematology (572 citations), Immunology (644 citations), Genetics (696 citations), Genetics (218 citations) and Cancer Research (246 citations). D. Hewett has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Andrew N. J. McKenzie, Helen E. Jolin, Jillian L. Barlow, Padraic G. Fallon, Niamh E. Mangan, Ayan Dasvarma, Sarah J. Ballantyne, Ann McIlgorm, Andrew C.W. Zannettino and Bryan Sykes. Their work appears in journals such as Cytogenetic and Genome Research, British Journal of Haematology, Neoplasia, Human Molecular Genetics and Leukemia.
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.