Tom Bailey
Impact in
- Hematology top 10%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Iron Metabolism and Disorders
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- Chronic Lymphocytic Leukemia Research
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 12
- Platelet Disorders and Treatments 6
- Iron Metabolism and Disorders 3
- Acute Myeloid Leukemia Research 2
- Genetics 8
- Hemoglobinopathies and Related Disorders 4
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- P M Schantz (1 shared paper)Gavin Taylor‐Stokes (5 shared papers)Yoshiaki Tomiyama (6 shared papers)Cristina Santoro (6 shared papers)Caroline Kruse (6 shared papers)Ming Hou (6 shared papers)Donald M. Arnold (5 shared papers)Waleed Ghanima (6 shared papers)
- Journals
- Blood (7 papers)American Journal of Hematology (3 papers)Journal of Clinical Oncology (2 papers)Clinical Infectious Diseases (1 paper)Current Medical Research and Opinion (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Tom Bailey
23 papers receiving 219 citations
Peers
Comparison fields: 5 of 60
- Hematology 149
- Genetics 41
- Pathology and Forensic Medicine 60
- Parasitology 15
- Otorhinolaryngology 8
Countries citing papers authored by Tom Bailey
This map shows the geographic impact of Tom Bailey'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 Tom Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Bailey more than expected).
Fields of papers citing papers by Tom Bailey
This network shows the impact of papers produced by Tom Bailey. 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 Tom Bailey. The network helps show where Tom Bailey may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Bailey, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 63 | |
| 2 | 2020 | 62 | |
| 3 | 1990 | 27 | |
| 4 | 1989 | 12 | |
| 5 | 2021 | 11 | |
| 6 | 2018 | 9 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2021 | 5 | |
| 10 | Waiting for a family doctor. | 2007 | 4 |
| 11 | Research in family medicine. | 2007 | 4 |
| 12 | 2018 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2022 | 1 |
About Tom Bailey
Tom Bailey is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Economics and Econometrics, having authored 25 papers that have together received 228 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (6 papers), Hemoglobinopathies and Related Disorders (4 papers), Iron Metabolism and Disorders (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Autoimmune Bullous Skin Diseases (3 papers), Bone health and osteoporosis research (2 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (149 citations), Genetics (41 citations), Pathology and Forensic Medicine (60 citations), Parasitology (15 citations) and Otorhinolaryngology (8 citations). Tom Bailey has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include P M Schantz, Gavin Taylor‐Stokes, Yoshiaki Tomiyama, Cristina Santoro, Caroline Kruse, Ming Hou, Donald M. Arnold, Waleed Ghanima, Nichola Cooper and Shirley Watson. Their work appears in journals such as Blood, American Journal of Hematology, Journal of Clinical Oncology, Clinical Infectious Diseases and Current Medical Research and Opinion.
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.