Steven Coutré
- Genetics top 0.05%
- Pathology and Forensic Medicine top 0.1%
- Hematology top 0.1%
- Molecular Biology top 2%
- Immunology top 1%
- Co-authors
- Richard R. FurmanIan W. FlinnJohn C. ByrdJan A. BurgerSusan O’BrienJennifer R. BrownWilliam G. WierdaMartin S. Tallman
- Topics
- Chronic Lymphocytic Leukemia Research (150 papers)Lymphoma Diagnosis and Treatment (91 papers)Acute Lymphoblastic Leukemia research (48 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Steven Coutré
235 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Genetics 6.1k
- Pathology and Forensic Medicine 4.3k
- Hematology 4.2k
- Molecular Biology 3.4k
- Immunology 2.3k
Countries citing papers authored by Steven Coutré
This map shows the geographic impact of Steven Coutré'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 Steven Coutré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Coutré more than expected).
Fields of papers citing papers by Steven Coutré
This network shows the impact of papers produced by Steven Coutré. 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 Steven Coutré. The network helps show where Steven Coutré may publish in the future.
Co-authorship network of co-authors of Steven Coutré
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Coutré. A scholar is included among the top collaborators of Steven Coutré based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven Coutré. Steven Coutré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Up to 8-year follow-up from RESONATE-2: first-line ibrutinib treatment for patients with chronic lymphocytic leukemia breakdown → | 146 |
| 3 | 126 | |
| 4 | 157 | |
| 5 | 63 | |
| 6 | 38 | |
| 7 | 32 | |
| 8 | 22 | |
| 9 | 47 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 46 | |
| 13 | 53 | |
| 14 | The clinical benefit of eculizumab is demonstrable in all subpopulations of patients with paroxysmal nocturnal hemoglobinuria (PNH) with hemolysis | 1 |
| 15 | 17 | |
| 16 | 18 | |
| 17 | 8 | |
| 18 | 73 | |
| 19 | 55 | |
| 20 | 129 |
About Steven Coutré
Steven Coutré is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 238 papers that have together received 10.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (150 papers), Lymphoma Diagnosis and Treatment (91 papers) and Acute Lymphoblastic Leukemia research (48 papers). The work is most often cited by research in Genetics (6.1k citations), Hematology (4.2k citations) and Pathology and Forensic Medicine (4.3k citations). Steven Coutré has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Richard R. Furman, Ian W. Flinn, John C. Byrd, Jan A. Burger, Susan O’Brien, Jennifer R. Brown, William G. Wierda, Martin S. Tallman, Nina D. Wagner‐Johnston and Jeffrey A. Jones. Their work appears in journals such as Nature, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.