Albert Quiery
Impact in
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research
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- Immune Cell Function and Interaction
- Mast cells and histamine
Papers in ⓘ
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- Chronic Myeloid Leukemia Treatments 2
- Autoimmune and Inflammatory Disorders Research 2
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- Mast cells and histamine 4
- Co-authors
- Kai Zhang (2 shared papers)Jeffrey W. Prichard (2 shared papers)Conrad Schuerch (2 shared papers)Philip S. Boonstra (2 shared papers)Asra Ahmed (2 shared papers)Erica Campagnaro (2 shared papers)Mark Kaminski (2 shared papers)Ryan A. Wilcox (2 shared papers)
- Journals
- Blood (4 papers)Archives of Pathology & Laboratory Medicine (2 papers)Nature Medicine (1 paper)HemaSphere (1 paper)The Lancet Haematology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Albert Quiery
12 papers receiving 412 citations
Peers
Comparison fields: 5 of 46
- Hematology 162
- Immunology 203
- Infectious Diseases 148
- Genetics 53
- Rheumatology 72
Countries citing papers authored by Albert Quiery
This map shows the geographic impact of Albert Quiery'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 Albert Quiery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Quiery more than expected).
Fields of papers citing papers by Albert Quiery
This network shows the impact of papers produced by Albert Quiery. 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 Albert Quiery. The network helps show where Albert Quiery may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Quiery, 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 | 2019 | 191 | |
| 2 | 2021 | 88 | |
| 3 | 2004 | 47 | |
| 4 | 2004 | 43 | |
| 5 | 1997 | 12 | |
| 6 | 2016 | 10 | |
| 7 | 2019 | 7 | |
| 8 | 2020 | 6 | |
| 9 | Morphoproteomic expression of H-ras (p21ras) correlates with serum monoclonal immunoglobulin reduction in multiple myeloma patients following pamidronate treatment. | 2007 | 4 |
| 10 | 1991 | 3 | |
| 11 | 2011 | 2 | |
| 12 | 2018 | 1 | |
| 13 | 2022 | 0 |
About Albert Quiery
Albert Quiery is a scholar working on Hematology, Immunology, Oncology, Pathology and Forensic Medicine and Rheumatology, having authored 13 papers that have together received 414 indexed citations. Recurring topics across this work include Mast cells and histamine (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Bone health and treatments (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Histiocytic Disorders and Treatments (2 papers), Viral-associated cancers and disorders (2 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Hematology (162 citations), Immunology (203 citations), Infectious Diseases (148 citations), Genetics (53 citations) and Rheumatology (72 citations). Albert Quiery has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kai Zhang, Jeffrey W. Prichard, Conrad Schuerch, Philip S. Boonstra, Asra Ahmed, Erica Campagnaro, Mark Kaminski, Ryan A. Wilcox, Tycel Phillips and Paula Bockenstedt. Their work appears in journals such as Blood, Archives of Pathology & Laboratory Medicine, Nature Medicine, HemaSphere and The Lancet Haematology.
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.