Anna M. Eiring
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments 33
- Acute Myeloid Leukemia Research 15
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 24
- Myeloproliferative Neoplasms: Diagnosis and Treatment 8
- Rheumatology top 5%
- Eosinophilic Disorders and Syndromes 9
- Transplantation top 10%
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 5
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- Corneal Surgery and Treatments 4
- Co-authors
- Michael W. DeiningerThomas O’HareMatthew S. ZabriskieN GeorgiadeFrederick W. StockerJamshid S. KhorashadMichael A. CaligiuriDanilo Perrotti
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Anna M. Eiring
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Hematology 669
- Genetics 411
- Rheumatology 166
- Transplantation 29
- Molecular Biology 657
Countries citing papers authored by Anna M. Eiring
This map shows the geographic impact of Anna M. Eiring'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 Anna M. Eiring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna M. Eiring more than expected).
Fields of papers citing papers by Anna M. Eiring
This network shows the impact of papers produced by Anna M. Eiring. 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 Anna M. Eiring. The network helps show where Anna M. Eiring may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna M. Eiring, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 5 | |
| 7 | 2017 | 0 | |
| 8 | 2017 | 1 | |
| 9 | 2017 | 52 | |
| 10 | 2015 | 14 | |
| 11 | 2014 | 17 | |
| 12 | 2013 | 17 | |
| 13 | 2012 | 227 | |
| 14 | 2011 | 33 | |
| 15 | 2008 | 14 | |
| 16 | 2007 | 269 | |
| 17 | 2006 | 17 | |
| 18 | 2005 | 30 | |
| 19 | 2004 | 20 | |
| 20 | 2000 | 37 |
About Anna M. Eiring
Anna M. Eiring is a scholar working on Hematology, Genetics, Rheumatology, Immunology and Transplantation, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (33 papers), Chronic Lymphocytic Leukemia Research (24 papers), Acute Myeloid Leukemia Research (15 papers), Eosinophilic Disorders and Syndromes (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Corneal Surgery and Treatments (4 papers). The work is most often cited by research in Hematology (669 citations), Genetics (411 citations), Rheumatology (166 citations), Transplantation (29 citations) and Molecular Biology (657 citations). Anna M. Eiring has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael W. Deininger, Thomas O’Hare, Matthew S. Zabriskie, N Georgiade, Frederick W. Stocker, Jamshid S. Khorashad, Michael A. Caligiuri, Danilo Perrotti, Paolo Neviani and Ramasamy Santhanam. Their work appears in journals such as Blood, Leukemia, American Journal of Ophthalmology, American Journal of Transplantation and Nature reviews. Cancer.
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.