Jeffrey S. Stonebraker
- Hematology top 1%
- Hemophilia Treatment and Research 23
- Platelet Disorders and Treatments 5
- Blood Coagulation and Thrombosis Mechanisms 5
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
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- Risk and Safety Analysis 4
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- Nuclear and radioactivity studies 2
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- Immunodeficiency and Autoimmune Disorders 2
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- Capital Investment and Risk Analysis 2
Jeffrey S. Stonebraker
34 papers receiving 974 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Hematology 818
- Genetics 153
- Management of Technology and Innovation 47
- Management Science and Operations Research 35
- Management Information Systems 21
Countries citing papers authored by Jeffrey S. Stonebraker
This map shows the geographic impact of Jeffrey S. Stonebraker'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 Jeffrey S. Stonebraker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Stonebraker more than expected).
Fields of papers citing papers by Jeffrey S. Stonebraker
This network shows the impact of papers produced by Jeffrey S. Stonebraker. 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 Jeffrey S. Stonebraker. The network helps show where Jeffrey S. Stonebraker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey S. Stonebraker, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 8 | |
| 5 | 2021 | 4 | |
| 6 | 2020 | 74 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 25 | |
| 9 | Establishing the Prevalence and Prevalence at Birth of Hemophilia in Malesbreakdown → | 2019 | 265 |
| 10 | 2018 | 5 | |
| 11 | 2018 | 19 | |
| 12 | 2017 | 1 | |
| 13 | 2016 | 8 | |
| 14 | 2013 | 19 | |
| 15 | USING DECISION ANALYSIS TO MODEL LATENT THERAPEUTIC DEMAND (LTD) FOR IMMUNOGLOBULIN (IG) IN TREATING CVID | 2012 | 1 |
| 16 | 2011 | 18 | |
| 17 | 2009 | 57 | |
| 18 | 2009 | 206 | |
| 19 | 2004 | 17 | |
| 20 | 2003 | 20 |
About Jeffrey S. Stonebraker
Jeffrey S. Stonebraker is a scholar working on Hematology, Statistics, Probability and Uncertainty, Genetics, Safety, Risk, Reliability and Quality and Management Information Systems, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (23 papers), Platelet Disorders and Treatments (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Risk and Safety Analysis (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Nuclear and radioactivity studies (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Capital Investment and Risk Analysis (2 papers). The work is most often cited by research in Hematology (818 citations), Genetics (153 citations), Management of Technology and Innovation (47 citations), Management Science and Operations Research (35 citations) and Management Information Systems (21 citations). Jeffrey S. Stonebraker has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Mark Brooker, Paula Bolton‐Maggs, J. Michael Soucie, Alfonso Iorio, Irwin Walker, Donna Coffin, Michael Makris, Federico Germini, Hérvè Chambost and Albert Farrugia. Their work appears in journals such as Haemophilia, INFORMS Journal on Applied Analytics, Operations Research, Vox Sanguinis and BMJ Open.
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.