Uzay E. Emir

5.4k citations
100 papers · 2.8k · h-index 30

Impact in

Papers in

Uzay E. Emir

95 papers receiving 2.7k citations

Peers

Uzay E. Emir
Comparison fields: 5 of 112
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Cognitive Neuroscience 914
  • Cellular and Molecular Neuroscience 673
  • Biological Psychiatry 65
  • Neurology 196
Replace Małgorzata Marjańska with:
Małgorzata Marjańska United States
Dinesh K. Deelchand United States
Silvia Mangia United States
Gülin Öz United States
Charles Gasparovic United States
Federico Giove Italy
Jason Berwick United Kingdom
Christopher C. Hanstock Canada
Jeih‐San Liow United States
Ingrid L. Kwee United States
Uzay E. Emir relative to Małgorzata Marjańska United States Małgorzata Marjańska's profile →
Citations per field
00.5×1.6×
Małgorzata Marjańska · 1×
Citations per year

Countries citing papers authored by Uzay E. Emir

Since Specialization
Citations

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

Fields of papers citing papers by Uzay E. Emir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015154
2 2015150
3 2012135
4 2015128
5 2017107
6 2014103
7 201594
8 201192
9 201189
10 201587
11 201683
12 201567
13 201856
14 201756
15 201854
16 201852
17 201551
18 201148
19 201347
20 201545

About Uzay E. Emir

Uzay E. Emir is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Spectroscopy, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (54 papers), Functional Brain Connectivity Studies (22 papers), Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (16 papers), Advanced NMR Techniques and Applications (10 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Atomic and Subatomic Physics Research (10 papers) and Optical Imaging and Spectroscopy Techniques (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cognitive Neuroscience (914 citations), Cellular and Molecular Neuroscience (673 citations), Biological Psychiatry (65 citations) and Neurology (196 citations). Uzay E. Emir has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Gülin Öz, Dinesh K. Deelchand, Holly Bridge, Melissa Terpstra, Lynn E. Eberly, Paul Tuite, Claudia Lunghi, Petr Bednařík, Maria Concetta Morrone and Philip J. Cowen. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, NeuroImage, Scientific Reports and Journal of Neuroscience.

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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