Olive S. Eckstein
Impact in
- Hematology top 2%
- Autoimmune and Inflammatory Disorders Research
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
Papers in
- Physiology 22
- Histiocytic Disorders and Treatments 21
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- Parvovirus B19 Infection Studies 10
- Co-authors
- Carl E. Allen (15 shared papers)Kenneth L. McClain (16 shared papers)Ashish R. Kumar (2 shared papers)Jay N. Greenberg (2 shared papers)Michael B. Jordan (1 shared paper)Stephan Ladisch (1 shared paper)Michael M. Henry (1 shared paper)Kim E. Nichols (1 shared paper)
- Journals
- Blood (10 papers)British Journal of Haematology (3 papers)Pediatric Blood & Cancer (3 papers)Blood Advances (3 papers)Cancer (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Olive S. Eckstein
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 61
- Hematology 492
- Immunology 525
- Infectious Diseases 332
- Physiology 365
- Genetics 66
Countries citing papers authored by Olive S. Eckstein
This map shows the geographic impact of Olive S. Eckstein'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 Olive S. Eckstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olive S. Eckstein more than expected).
Fields of papers citing papers by Olive S. Eckstein
This network shows the impact of papers produced by Olive S. Eckstein. 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 Olive S. Eckstein. The network helps show where Olive S. Eckstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Olive S. Eckstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 276 | |
| 2 | 2018 | 218 | |
| 3 | 2018 | 162 | |
| 4 | 2019 | 90 | |
| 5 | 2018 | 89 | |
| 6 | 2016 | 49 | |
| 7 | 2022 | 48 | |
| 8 | 2020 | 35 | |
| 9 | 2017 | 33 | |
| 10 | 2020 | 29 | |
| 11 | 2016 | 21 | |
| 12 | 2017 | 20 | |
| 13 | 2024 | 20 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2024 | 13 | |
| 17 | 2004 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2024 | 9 |
About Olive S. Eckstein
Olive S. Eckstein is a scholar working on Physiology, Infectious Diseases, Immunology, Hematology and Oncology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Histiocytic Disorders and Treatments (21 papers), Parvovirus B19 Infection Studies (10 papers), Autoimmune and Inflammatory Disorders Research (7 papers), Viral-associated cancers and disorders (6 papers), Immune Cell Function and Interaction (6 papers), Genital Health and Disease (3 papers), Vascular Malformations and Hemangiomas (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Hematology (492 citations), Immunology (525 citations), Infectious Diseases (332 citations), Physiology (365 citations) and Genetics (66 citations). Olive S. Eckstein has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Carl E. Allen, Kenneth L. McClain, Ashish R. Kumar, Jay N. Greenberg, Michael B. Jordan, Stephan Ladisch, Michael M. Henry, Kim E. Nichols, Birte Wistinghausen and Michelle Lynn Hermiston. Their work appears in journals such as Blood, British Journal of Haematology, Pediatric Blood & Cancer, Blood Advances and 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.