I. E. Gazit

1.1k citations
6 papers · 971 · 1 hit paper · h-index 5

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
    • Advanced MRI Techniques and Applications
    • MRI in cancer diagnosis
    • Advanced Neuroimaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Medical Imaging Techniques and Applications

Papers in

I. E. Gazit

6 papers receiving 923 citations

I. E. Gazit's Hit Papers

Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. 1994 · 788 citations
7880+10+21Years since publication250500750

Peers

I. E. Gazit
Comparison fields: 5 of 46
  • Genetics 346
  • Radiology, Nuclear Medicine and Imaging 599
  • Neurology 49
  • Neurology 15
  • Pulmonary and Respiratory Medicine 54
Replace S. Herminghaus with:
S. Herminghaus Germany
Joe X Qiao United States
Ka‐Loh Li United Kingdom
Carina Stegmayr Germany
Kyriaki Theodorou Greece
Weiyuan Huang China
Evanthia Kousi Greece
Martin Bulik Czechia
Katerina Deike‐Hofmann Germany
I. E. Gazit relative to S. Herminghaus Germany S. Herminghaus's profile →
Citations per field
00.5×1.5×2.3×
S. Herminghaus · 1×
Citations per year

Countries citing papers authored by I. E. Gazit

Since Specialization
Citations

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

Fields of papers citing papers by I. E. Gazit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside I. E. Gazit, 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 I. E. Gazit Line = papers co-authored together I. E. Gazit links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings.
Hit paper breakdown →
1994788
2
Echo-planar MR cerebral blood volume mapping of gliomas. Clinical utility.
199595
3 199572
4 19959
5 19984
6 19953

About I. E. Gazit

I. E. Gazit is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 6 papers that have together received 971 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Glioma Diagnosis and Treatment (4 papers), MRI in cancer diagnosis (4 papers), Cerebrovascular and Carotid Artery Diseases (1 paper) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Genetics (346 citations), Radiology, Nuclear Medicine and Imaging (599 citations), Neurology (49 citations), Neurology (15 citations) and Pulmonary and Respiratory Medicine (54 citations). I. E. Gazit has collaborated with scholars based in United States and Finland. Frequent co-authors include Hannu J. Aronen, Fred H. Hochberg, David N. Louis, E F Halpern, Griffith R. Harsh, G. Rees Cosgrove, Robert M. Weisskoff, Bradley R. Buchbinder, Michael L. Gruber and Francisco S. Pardo. Their work appears in journals such as Acta Radiologica, Journal of Neuroimaging, Radiology 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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