Ghanim Ullah

3.8k citations
86 papers · 2.8k · 1 hit paper · h-index 28

Impact in

Papers in

Ghanim Ullah

82 papers receiving 2.7k citations

Ghanim Ullah's Hit Papers

Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels 2017 · 471 citations
4710+3+6Years since publication100200300400

Peers

Ghanim Ullah
Comparison fields: 5 of 134
  • Cellular and Molecular Neuroscience 936
  • Cognitive Neuroscience 732
  • Radiology, Nuclear Medicine and Imaging 534
  • Statistical and Nonlinear Physics 225
  • Neurology 110
Replace Paul Richard Carney with:
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Ghanim Ullah relative to Paul Richard Carney United States Paul Richard Carney's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ghanim Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Ghanim Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
Hit paper breakdown →
2017471
2 2009217
3 2018174
4 2014166
5 2008124
6 2005109
7 201097
8 201889
9 201474
10 201571
11 200971
12 202265
13 199654
14 200749
15 201641
16 202239
17 201239
18 201638
19 201936
20 201636

About Ghanim Ullah

Ghanim Ullah is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology, Molecular Biology and Organic Chemistry, having authored 86 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (32 papers), Neural dynamics and brain function (20 papers), Alzheimer's disease research and treatments (17 papers), Ion channel regulation and function (13 papers), Mitochondrial Function and Pathology (10 papers), Photoreceptor and optogenetics research (9 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (936 citations), Cognitive Neuroscience (732 citations), Radiology, Nuclear Medicine and Imaging (534 citations), Statistical and Nonlinear Physics (225 citations) and Neurology (110 citations). Ghanim Ullah has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Steven J. Schiff, Yina Wei, Ernest Barreto, John Robert Cressman, Kujtim Latifi, Eduardo G. Moros, Robert J. Gillies, Geoffrey G. Zhang, Jokūbas Žiburkus and Peter Jung. Their work appears in journals such as Biophysical Journal, Cell Calcium, Tetrahedron Letters, Cells and Journal of Computational 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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