E. C. Quant

1.2k citations
19 papers · 905 · h-index 13

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Facial Nerve Paralysis Treatment and Research
    • Vascular Malformations Diagnosis and Treatment
    • Neurofibromatosis and Schwannoma Cases

Papers in

    • Glioma Diagnosis and Treatment 12
    • Vascular Malformations Diagnosis and Treatment 3
    • CNS Lymphoma Diagnosis and Treatment 1

E. C. Quant

19 papers receiving 864 citations

Peers

E. C. Quant
Comparison fields: 5 of 69
  • Genetics 425
  • Neurology 224
  • Cancer Research 122
  • Otorhinolaryngology 27
  • Epidemiology 188
Replace Salvina Barra with:
Salvina Barra Italy
Vittoria Donofrio Italy
Maria Grazia Fabrini Italy
Philippe Paquis France
Hitoshi Tsugu Japan
Jean Claude Horiot France
Hayato Ikota Japan
Shehanaz Ellika United States
Hans-Heinrich Kreipe Germany
Shigeo Matsunaga Japan
E. C. Quant relative to Salvina Barra Italy Salvina Barra's profile →
Citations per field
00.5×1.5×2×2.4×
Salvina Barra · 1×
Citations per year

Countries citing papers authored by E. C. Quant

Since Specialization
Citations

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

Fields of papers citing papers by E. C. Quant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2009155
2 2010143
3 2009104
4 201095
5 201184
6 200169
7 201059
8 201055
9 201033
10 201130
11 201029
12 201017
13 201016
14 20086
15 20103
16 20073
17 20112
18 20101
19 20101

About E. C. Quant

E. C. Quant is a scholar working on Genetics, Neurology, Pulmonary and Respiratory Medicine, Epidemiology and Internal Medicine, having authored 19 papers that have together received 905 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Brain Metastases and Treatment (6 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Meningioma and schwannoma management (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer Treatment and Pharmacology (2 papers), CNS Lymphoma Diagnosis and Treatment (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Genetics (425 citations), Neurology (224 citations), Cancer Research (122 citations), Otorhinolaryngology (27 citations) and Epidemiology (188 citations). E. C. Quant has collaborated with scholars based in United States and Canada. Frequent co-authors include Patrick Yung Wen, Jan Drappatz, Andrew David Norden, Rameen Beroukhim, Abigail Slate Ciampa, Lisa M. Doherty, Debra Conrad LaFrankie, Anton Yariv Peleg, Santosh Kesari and Shafali Jeste. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, Current Oncology Reports, Current Treatment Options in Neurology 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.

Explore authors with similar magnitude of impact