Sam Ackroyd
Impact in
- Immunology top 5%
- interferon and immune responses
- Hematology top 5%
- Hemophilia Treatment and Research
- Blood Coagulation and Thrombosis Mechanisms
Papers in
- Genetics 7
- Chronic Lymphocytic Leukemia Research 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Hemoglobinopathies and Related Disorders 2
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- Acute Myeloid Leukemia Research 2
- Co-authors
- Louise Bowles (1 shared paper)Andrew David Mumford (1 shared paper)Raza Alikhan (1 shared paper)Niamh M O'Connell (1 shared paper)Pratima Chowdary (1 shared paper)John David Grainger (1 shared paper)Mary Mathias (1 shared paper)Jason Mainwaring (1 shared paper)
- Journals
- Clinical Medicine (2 papers)British Journal of Haematology (2 papers)The Lancet Neurology (1 paper)Journal of Clinical Oncology (1 paper)Journal of Thrombosis and Haemostasis (1 paper)
- Partner nations
- United KingdomFranceEstonia
In The Last Decade
Sam Ackroyd
14 papers receiving 1.4k citations
Sam Ackroyd's Hit Papers
Peers
Comparison fields: 5 of 74
- Immunology 658
- Hematology 264
- Genetics 175
- Rheumatology 229
- Virology 58
Countries citing papers authored by Sam Ackroyd
This map shows the geographic impact of Sam Ackroyd'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 Sam Ackroyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Ackroyd more than expected).
Fields of papers citing papers by Sam Ackroyd
This network shows the impact of papers produced by Sam Ackroyd. 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 Sam Ackroyd. The network helps show where Sam Ackroyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Ackroyd, 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 | Characterization of human disease phenotypes associated with mutations in TREX1 , RNASEH2A , RNASEH2B , RNASEH2C , SAMHD1 , ADAR , and IFIH1 Hit paper breakdown → | 2015 | 485 |
| 2 | 2013 | 368 | |
| 3 | 2014 | 261 | |
| 4 | 2013 | 190 | |
| 5 | 2024 | 27 | |
| 6 | 2005 | 22 | |
| 7 | 2020 | 22 | |
| 8 | 2022 | 16 | |
| 9 | 2005 | 11 | |
| 10 | 2004 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2011 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 1 |
About Sam Ackroyd
Sam Ackroyd is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Immunology and Rheumatology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Acute Myeloid Leukemia Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Lymphoma Diagnosis and Treatment (2 papers), interferon and immune responses (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Immunology (658 citations), Hematology (264 citations), Genetics (175 citations), Rheumatology (229 citations) and Virology (58 citations). Sam Ackroyd has collaborated with scholars based in United Kingdom, France and Estonia. Frequent co-authors include Louise Bowles, Andrew David Mumford, Raza Alikhan, Niamh M O'Connell, Pratima Chowdary, John David Grainger, Mary Mathias, Jason Mainwaring, Sheila J.M. O’Connor and Roger G. Owen. Their work appears in journals such as Clinical Medicine, British Journal of Haematology, The Lancet Neurology, Journal of Clinical Oncology and Journal of Thrombosis and Haemostasis.
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.