Daniel Wiseman
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
Papers in
- Hematology 47
- Acute Myeloid Leukemia Research 41
- Hematopoietic Stem Cell Transplantation 8
- Genetics 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Co-authors
- Tim C. P. Somervaille (21 shared papers)Emma L. Williams (4 shared papers)Allan Michael Jordan (2 shared papers)Daniel P. Mould (2 shared papers)James T. Lynch (3 shared papers)Alison E. McGonagle (1 shared paper)James R. Hitchin (2 shared papers)Gary J. Spencer (4 shared papers)
- Journals
- Blood (11 papers)Leukemia (8 papers)British Journal of Haematology (5 papers)Cancer Cell (3 papers)BMC Cancer (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Daniel Wiseman
63 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 93
- Hematology 702
- Genetics 235
- Molecular Biology 1.3k
- Cancer Research 181
- Immunology 239
Countries citing papers authored by Daniel Wiseman
This map shows the geographic impact of Daniel Wiseman'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 Wiseman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wiseman more than expected).
Fields of papers citing papers by Daniel Wiseman
This network shows the impact of papers produced by Daniel Wiseman. 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 Wiseman. The network helps show where Daniel Wiseman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wiseman, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 264 | |
| 2 | 2019 | 175 | |
| 3 | 2018 | 157 | |
| 4 | 2014 | 149 | |
| 5 | 2010 | 143 | |
| 6 | 2014 | 124 | |
| 7 | 2013 | 90 | |
| 8 | 2023 | 78 | |
| 9 | 2020 | 75 | |
| 10 | 2015 | 61 | |
| 11 | 2013 | 51 | |
| 12 | 2013 | 49 | |
| 13 | 2023 | 48 | |
| 14 | 2020 | 47 | |
| 15 | 2023 | 37 | |
| 16 | 2016 | 36 | |
| 17 | 2012 | 34 | |
| 18 | 2021 | 27 | |
| 19 | 2020 | 23 | |
| 20 | 2021 | 23 |
About Daniel Wiseman
Daniel Wiseman is a scholar working on Hematology, Genetics, Molecular Biology, Cancer Research and Immunology, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (41 papers), Epigenetics and DNA Methylation (10 papers), Hematopoietic Stem Cell Transplantation (8 papers), Histone Deacetylase Inhibitors Research (7 papers), RNA Research and Splicing (7 papers), Cancer Genomics and Diagnostics (6 papers), RNA modifications and cancer (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (702 citations), Genetics (235 citations), Molecular Biology (1.3k citations), Cancer Research (181 citations) and Immunology (239 citations). Daniel Wiseman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Tim C. P. Somervaille, Emma L. Williams, Allan Michael Jordan, Daniel P. Mould, James T. Lynch, Alison E. McGonagle, James R. Hitchin, Gary J. Spencer, Brigit Greystoke and Fabio M. R. Amaral. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Cancer Cell and BMC Cancer.
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.