Catherine M. Broome
- Hematology top 1%
- Blood groups and transfusion 41
- Platelet Disorders and Treatments 20
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 19
- Physiology top 5%
- Erythrocyte Function and Pathophysiology 24
- Immunology top 10%
- Immunodeficiency and Autoimmune Disorders 12
- Complement system in diseases 12
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- Monoclonal and Polyclonal Antibodies Research 6
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- Autoimmune Bullous Skin Diseases 5
- Co-authors
- Alexander RöthDavid J. KuterWilma BarcelliniBernd JilmaMarc MichelSigbjørn BerentsenMaha HussainDavid J. Vaughn
- Cited by
- HematologyGeneticsPhysiology
- Journals
- New England Journal of Medicine (1 paper)Journal of Clinical Oncology (3 papers)Blood (30 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Catherine M. Broome
59 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Hematology 717
- Genetics 209
- Physiology 416
- Immunology 250
- Oncology 170
Countries citing papers authored by Catherine M. Broome
This map shows the geographic impact of Catherine M. Broome'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 Catherine M. Broome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine M. Broome more than expected).
Fields of papers citing papers by Catherine M. Broome
This network shows the impact of papers produced by Catherine M. Broome. 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 Catherine M. Broome. The network helps show where Catherine M. Broome may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Catherine M. Broome, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 0 | |
| 16 | 2020 | 53 | |
| 17 | Diagnosis and treatment of autoimmune hemolytic anemia in adults: Recommendations from the First International Consensus Meetingbreakdown → | 2019 | 286 |
| 18 | 2017 | 1 | |
| 19 | 2004 | 87 | |
| 20 | 1998 | 3 |
About Catherine M. Broome
Catherine M. Broome is a scholar working on Hematology, Genetics and Immunology, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blood groups and transfusion (41 papers), Erythrocyte Function and Pathophysiology (24 papers), Platelet Disorders and Treatments (20 papers), Chronic Lymphocytic Leukemia Research (19 papers), Immunodeficiency and Autoimmune Disorders (12 papers), Complement system in diseases (12 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Autoimmune Bullous Skin Diseases (5 papers). The work is most often cited by research in Hematology (717 citations), Genetics (209 citations) and Physiology (416 citations). Catherine M. Broome has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Alexander Röth, David J. Kuter, Wilma Barcellini, Bernd Jilma, Marc Michel, Sigbjørn Berentsen, Maha Hussain, David J. Vaughn, John Gutheil and Avi B. Markowitz. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.
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.