Olive S. Eckstein

1.7k citations
29 papers · 411 · h-index 9

Impact in

  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research
    • Acute Myeloid Leukemia Research
    • Parvovirus B19 Infection Studies

Papers in

    • Histiocytic Disorders and Treatments 16
    • Vascular Malformations and Hemangiomas 3

Olive S. Eckstein

26 papers receiving 406 citations

Peers

Olive S. Eckstein
Comparison fields: 5 of 53
  • Hematology 242
  • Infectious Diseases 175
  • Immunology 162
  • Physiology 112
  • Pathology and Forensic Medicine 44
Replace Hongyun Lian with:
Hongyun Lian China
Jan Zernicke Germany
Deepak Chellapandian United States
Young Tak Lim South Korea
Nichola Cooper United Kingdom
M C Putti Italy
Ömer Devecioğlu Türkiye
Prasad Rao Koduri United States
Asayuki Iwai Japan
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Citations per year

Countries citing papers authored by Olive S. Eckstein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Olive S. Eckstein Line = papers co-authored together Olive S. Eckstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019215
2 201639
3 202028
4 201728
5 202023
6 202010
7 20169
8 20118
9 20208
10 20046
11 20186
12 20244
13 20184
14 20183
15 20143
16 20223
17 20192
18 20192
19 20182
20 20102

About Olive S. Eckstein

Olive S. Eckstein is a scholar working on Physiology, Surgery, Immunology, Infectious Diseases and Hematology, having authored 29 papers that have together received 411 indexed citations. Recurring topics across this work include Histiocytic Disorders and Treatments (16 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Parvovirus B19 Infection Studies (5 papers), Genetic and rare skin diseases. (4 papers), Viral-associated cancers and disorders (3 papers), Immunotherapy and Immune Responses (3 papers), Vascular Malformations and Hemangiomas (3 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (242 citations), Infectious Diseases (175 citations), Immunology (162 citations), Physiology (112 citations) and Pathology and Forensic Medicine (44 citations). Olive S. Eckstein has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Carl E. Allen, Kenneth L. McClain, Birte Wistinghausen, Stephan Ladisch, Kim E. Nichols, Carlos Rodríguez‐Galindo, Michael B. Jordan, Michelle L. Hermiston, M M Henry and Jay Greenberg. Their work appears in journals such as Blood, Pediatric Blood & Cancer, British Journal of Haematology, Pediatric Nephrology and Journal of Clinical Monitoring and Computing.

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.

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