Daniel H. Wiseman
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
Papers in
- Hematology 29
- Acute Myeloid Leukemia Research 24
- Hematopoietic Stem Cell Transplantation 6
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- Epigenetics and DNA Methylation 7
- Histone Deacetylase Inhibitors Research 7
- RNA Research and Splicing 3
- Co-authors
- Tim C. P. Somervaille (18 shared papers)Emma L. Williams (3 shared papers)Daniel P. Mould (2 shared papers)Allan M. Jordan (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 (13 papers)British Journal of Haematology (3 papers)Leukemia (3 papers)Cell Reports (2 papers)BMC Cancer (2 papers)
- Partner nations
- United KingdomUnited StatesTaiwan
In The Last Decade
Daniel H. Wiseman
42 papers receiving 863 citations
Peers
Comparison fields: 5 of 76
- Hematology 328
- Genetics 92
- Molecular Biology 507
- Immunology 113
- Cancer Research 71
Countries citing papers authored by Daniel H. Wiseman
This map shows the geographic impact of Daniel H. 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 H. 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 H. Wiseman more than expected).
Fields of papers citing papers by Daniel H. Wiseman
This network shows the impact of papers produced by Daniel H. 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 H. Wiseman. The network helps show where Daniel H. Wiseman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel H. 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 143 | |
| 2 | 2010 | 119 | |
| 3 | 2014 | 108 | |
| 4 | 2013 | 73 | |
| 5 | 2015 | 53 | |
| 6 | 2013 | 49 | |
| 7 | 2013 | 44 | |
| 8 | 2020 | 38 | |
| 9 | 2012 | 30 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 22 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 15 | |
| 15 | 2011 | 14 | |
| 16 | 1985 | 12 | |
| 17 | 2007 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2020 | 8 | |
| 20 | 2010 | 8 |
About Daniel H. Wiseman
Daniel H. Wiseman is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Oncology, having authored 46 papers that have together received 873 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Epigenetics and DNA Methylation (7 papers), Histone Deacetylase Inhibitors Research (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Cancer Genomics and Diagnostics (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Immune cells in cancer (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Hematology (328 citations), Genetics (92 citations), Molecular Biology (507 citations), Immunology (113 citations) and Cancer Research (71 citations). Daniel H. Wiseman has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Tim C. P. Somervaille, Emma L. Williams, Daniel P. Mould, Allan M. Jordan, 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, British Journal of Haematology, Leukemia, Cell Reports 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.