E. Zhu

1.7k citations
4 papers · 80 · h-index 2

Impact in

Papers in

E. Zhu

4 papers receiving 80 citations

Peers

E. Zhu
Comparison fields: 5 of 16
  • Pulmonary and Respiratory Medicine 60
  • Oncology 51
  • Cancer Research 11
  • Genetics 6
  • Molecular Biology 29
Replace Christine Waibel with:
Christine Waibel Switzerland
Jason Laskey United States
Michel Velez United States
Lindsay A. Bernardo United States
Jordan Eichholz United States
Shauna Blackmon United States
Eduardo Barrascout France
N. Rozensztajn France
Sandeep H. Mashru United States
Nichola Downs United Kingdom
E. Zhu relative to Christine Waibel Switzerland Christine Waibel's profile →
Citations per field
00.5×1.5×
Christine Waibel · 1×
Citations per year

Countries citing papers authored by E. Zhu

Since Specialization
Citations

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

Fields of papers citing papers by E. Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Zhu, 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. Zhu Line = papers co-authored together E. Zhu links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 201973
2 20195
3
Efficacy and safety of bortezomib-rituximab (VCR) vs rituximab® in patients (PTS) with relapsed, R-naive/-sensitive follicular lymphoma (FL): outcome according to prior therapy
20111
4
FCGR3A polymorphism does not significantly affect response and outcome of follicular lymphoma patients treated in the PRIMA study with rituximab and chemotherapy followed by rituximab maintenance or observation
20111

About E. Zhu

E. Zhu is a scholar working on Pathology and Forensic Medicine, Reproductive Medicine, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 4 papers that have together received 80 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (2 papers), Ovarian cancer diagnosis and treatment (2 papers), PARP inhibition in cancer therapy (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Prostate Cancer Treatment and Research (1 paper), Integrated Circuits and Semiconductor Failure Analysis (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (60 citations), Oncology (51 citations), Cancer Research (11 citations), Genetics (6 citations) and Molecular Biology (29 citations). E. Zhu has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Gary Mason, William Kevin Kelly, K.N. Chi, Karim Fizazi, Shahneen Sandhu, Daniel J. George, Shinta Cheng, Jason M. Summa, Eleni Efstathiou and Fred Saad. Their work appears in journals such as Annals of Oncology and HemaSphere.

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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