Daniel C. Ferguson
Impact in
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Erythrocyte Function and Pathophysiology 7
- Co-authors
- Javier G. Blanco (6 shared papers)Paul G. Winyard (3 shared papers)N.J.F. Dodd (2 shared papers)Alison Curnow (2 shared papers)Gary R. Smerdon (2 shared papers)Adolfo Quiñones‐Lombraña (3 shared papers)Lorna W. Harries (1 shared paper)Michael P. Murphy (1 shared paper)
- Journals
- Leukemia (2 papers)Free Radical Biology and Medicine (2 papers)Pharmaceutical Research (2 papers)Blood (2 papers)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesThailand
In The Last Decade
Daniel C. Ferguson
18 papers receiving 158 citations
Peers
Comparison fields: 5 of 50
- Hematology 20
- Cancer Research 26
- Genetics 18
- Cell Biology 20
- Physiology 30
Countries citing papers authored by Daniel C. Ferguson
This map shows the geographic impact of Daniel C. Ferguson'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 C. Ferguson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Ferguson more than expected).
Fields of papers citing papers by Daniel C. Ferguson
This network shows the impact of papers produced by Daniel C. Ferguson. 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 C. Ferguson. The network helps show where Daniel C. Ferguson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Ferguson, 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 | 2018 | 30 | |
| 2 | 2014 | 17 | |
| 3 | 2019 | 16 | |
| 4 | 2018 | 15 | |
| 5 | 2021 | 14 | |
| 6 | 2016 | 13 | |
| 7 | 2021 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 5 | |
| 11 | 2015 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2012 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2024 | 0 |
About Daniel C. Ferguson
Daniel C. Ferguson is a scholar working on Molecular Biology, Physiology, Hematology, Genetics and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 158 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (7 papers), Hemoglobinopathies and Related Disorders (3 papers), Blood groups and transfusion (3 papers), Nanoplatforms for cancer theranostics (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Immune Cell Function and Interaction (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Photodynamic Therapy Research Studies (2 papers). The work is most often cited by research in Hematology (20 citations), Cancer Research (26 citations), Genetics (18 citations), Cell Biology (20 citations) and Physiology (30 citations). Daniel C. Ferguson has collaborated with scholars based in United Kingdom, United States and Thailand. Frequent co-authors include Javier G. Blanco, Paul G. Winyard, N.J.F. Dodd, Alison Curnow, Gary R. Smerdon, Adolfo Quiñones‐Lombraña, Lorna W. Harries, Michael P. Murphy, Marieangela C. Wilson and James Kalabus. Their work appears in journals such as Leukemia, Free Radical Biology and Medicine, Pharmaceutical Research, Blood and Scientific Reports.
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.