E Liu

609 citations
8 papers · 513 indexed · h-index 6
  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments 4
    • Acute Myeloid Leukemia Research 2
    • Cancer-related Molecular Pathways 1
    • Viral-associated cancers and disorders 1
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Chronic Lymphocytic Leukemia Research 2
    • T-cell and Retrovirus Studies 1
    • Eosinophilic Disorders and Syndromes 1

E Liu

8 papers receiving 491 citations

Peers

E Liu
Comparison fields: 5 of 60
  • Hematology 112
  • Oncology 227
  • Otorhinolaryngology 27
  • Genetics 60
  • Cancer Research 75
Replace Simonetta Kerim with:
Simonetta Kerim Italy
S. Peters United States
Joachim Woenckhaus Germany
Mary Lowery Nordberg United States
Rocío Salgado Spain
Lisa L. P. Siu China
Robert Lowsky Canada
Yunxia Huang China
P. J. Fialkow United States
Audrey Sylvia Baur Switzerland
E Liu relative to Simonetta Kerim Italy Simonetta Kerim's profile →
Citations per field
00.5×1.5×1.8×
Simonetta Kerim · 1×
Citations per year

Countries citing papers authored by E Liu

Since Specialization
Citations

This map shows the geographic impact of E Liu'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 E Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Liu more than expected).

Fields of papers citing papers by E Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E Liu. 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 E Liu. The network helps show where E Liu may publish in the future.

Co-authorship network

The 21 scholars most cited alongside E Liu, 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 E Liu Line = papers co-authored together E Liu links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 199261
2 1992118
3 19912
4 199142
5 198965
6
Detection of amplified oncogenes by differential polymerase chain reaction.
1989192
7 19893
8
Molecular lesions involved in the progression of a human breast cancer.
198830

About E Liu

E Liu is a scholar working on Genetics, Hematology, Otorhinolaryngology, Cancer Research and Rheumatology, having authored 8 papers that have together received 513 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), T-cell and Retrovirus Studies (1 paper), Cancer-related Molecular Pathways (1 paper), Eosinophilic Disorders and Syndromes (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Hematology (112 citations), Oncology (227 citations), Otorhinolaryngology (27 citations), Genetics (60 citations) and Cancer Research (75 citations). E Liu has collaborated with scholars based in United States. Frequent co-authors include Andreas Neubauer, Katie B. Shannon, Q Zhang, Pierre Busson, Peter J. Effert, Rachel M. McCoy, K Flynn, Mohamed Abdel‐Hamid, Nancy Raab‐Traub and Thomas Tursz. Their work appears in journals such as Blood, JNCI Journal of the National Cancer Institute, Journal of Virology and PubMed.

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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