Ali S. Arbab

13.2k citations
209 papers · 10.5k indexed · 1 hit paper · h-index 57

Ali S. Arbab

206 papers receiving 10.3k citations

Hit Papers

Clinically Applicable Labeling of Mammalian and Stem Cell...5442003202620102018100200300400500

Peers

Ali S. Arbab
Comparison fields: 5 of 161
  • Genetics 2.0k
  • Biomaterials 2.0k
  • Developmental Neuroscience 468
  • Cancer Research 1.3k
  • Immunology 1.5k
Replace Rolf Bjerkvig with:
Rolf Bjerkvig Norway
Maciej S. Lesniak United States
Edward A. Neuwelt United States
Betty Tyler United States
Zongjin Li China
Keith L. Black United States
Jürgen Hescheler Germany
Lloyd H. Michael United States
Arne Östman Sweden
Jeffrey N. Bruce United States
Ali S. Arbab relative to Rolf Bjerkvig Norway Rolf Bjerkvig's profile →
Citations per field
00.5×3.8×
Rolf Bjerkvig · 1×
Citations per year

Countries citing papers authored by Ali S. Arbab

Since Specialization
Citations

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

Fields of papers citing papers by Ali S. Arbab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali S. Arbab. 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 Ali S. Arbab. The network helps show where Ali S. Arbab may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202310
3 202219
4 202113
5 2020141
6 20206
7 201821
8 201760
9 2017287
10 2016251
11
Anticancer activity of pristimerin in ovarian carcinoma cells is mediated through the inhibition of prosurvival Akt/NF-κB/mTOR signaling.
201423
12
The cytochrome P450 4A/F-20-hydroxyeicosatetraenoic acid system: A regulator of endothelial precursor cells derived from human umbilical cord blood (Journal of Pharmacology and Experimental Therapeutics (2011) 338, (421-429))
20126
13 201167
14 20086
15 2008149
16 2007100
17 2005122
18
Clinically Applicable Labeling of Mammalian and Stem Cells by Combining Superparamagnetic Iron Oxides and Transfection Agentsbreakdown →
2003544
19 199731
20 19966

About Ali S. Arbab

Ali S. Arbab is a scholar working on Genetics, Cancer Research and Toxicology, having authored 209 papers that have together received 10.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (30 papers), Cancer, Hypoxia, and Metabolism (30 papers), Angiogenesis and VEGF in Cancer (25 papers), Immune cells in cancer (23 papers), Advanced MRI Techniques and Applications (21 papers), Nanoparticle-Based Drug Delivery (19 papers), RNA Interference and Gene Delivery (15 papers) and MRI in cancer diagnosis (14 papers). The work is most often cited by research in Genetics (2.0k citations), Biomaterials (2.0k citations) and Developmental Neuroscience (468 citations). Ali S. Arbab has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Joseph A. Frank, Elaine Jordan, Bobbi K. Lewis, Gene T. Yocum, Heather Kalish, Jeff W. M. Bulte, Stasia A. Anderson, Asm Iskander, Thaiz F. Borin and Branislava Janic. Their work appears in journals such as Cancer Research, PLoS ONE, Annals of Nuclear Medicine, Nuclear Medicine Communications and Journal of Pharmacology and Experimental Therapeutics.

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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