Aneeka Chaudhry
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Mesenchymal stem cell research
- Developmental Neuroscience top 5%
Papers in
-
- Hedgehog Signaling Pathway Studies 4
- Epigenetics and DNA Methylation 3
- Angiogenesis and VEGF in Cancer 2
- Extracellular vesicles in disease 1
- Genetics 7
- Mesenchymal stem cell research 5
- Glioma Diagnosis and Treatment 2
- Co-authors
- Charles G. Eberhart (5 shared papers)Eli E. Bar (2 shared papers)Joseph A. Frank (9 shared papers)Xing Fan (2 shared papers)Karisa C. Schreck (1 shared paper)William Matsui (1 shared paper)Alessandro Olivi (1 shared paper)Alex Y. Lin (1 shared paper)
- Journals
- PLoS ONE (3 papers)Stem Cells (3 papers)Oncogene (1 paper)Journal of Translational Medicine (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Aneeka Chaudhry
18 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Genetics 376
- Developmental Neuroscience 71
- Oncology 349
- Biomaterials 170
- Molecular Biology 792
Countries citing papers authored by Aneeka Chaudhry
This map shows the geographic impact of Aneeka Chaudhry'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 Aneeka Chaudhry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aneeka Chaudhry more than expected).
Fields of papers citing papers by Aneeka Chaudhry
This network shows the impact of papers produced by Aneeka Chaudhry. 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 Aneeka Chaudhry. The network helps show where Aneeka Chaudhry may publish in the future.
Co-authors
The 25 scholars most cited alongside Aneeka Chaudhry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 486 | |
| 2 | 2012 | 174 | |
| 3 | 2008 | 93 | |
| 4 | 2006 | 88 | |
| 5 | 2007 | 83 | |
| 6 | 2010 | 83 | |
| 7 | 2009 | 75 | |
| 8 | Retina-specific expression of PDGF-B versus PDGF-A: vascular versus nonvascular proliferative retinopathy. | 2002 | 68 |
| 9 | 2011 | 65 | |
| 10 | 2005 | 63 | |
| 11 | 2011 | 60 | |
| 12 | 2012 | 54 | |
| 13 | 2010 | 52 | |
| 14 | 2005 | 29 | |
| 15 | 2011 | 19 | |
| 16 | 2011 | 17 | |
| 17 | 2013 | 10 | |
| 18 | TNFR1 trafficking dysfunction opens the TRAPS door to proinflammatory cytokine secretion | 2012 | 1 |
About Aneeka Chaudhry
Aneeka Chaudhry is a scholar working on Molecular Biology, Genetics, Oncology, Biomedical Engineering and Surgery, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer Cells and Metastasis (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Glioma Diagnosis and Treatment (2 papers), Ultrasound and Hyperthermia Applications (2 papers) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Genetics (376 citations), Developmental Neuroscience (71 citations), Oncology (349 citations), Biomaterials (170 citations) and Molecular Biology (792 citations). Aneeka Chaudhry has collaborated with scholars based in United States and Italy. Frequent co-authors include Charles G. Eberhart, Eli E. Bar, Joseph A. Frank, Xing Fan, Karisa C. Schreck, William Matsui, Alessandro Olivi, Alex Y. Lin, Francesco DiMeco and Angelo L. Vescovi. Their work appears in journals such as PLoS ONE, Stem Cells, Oncogene, Journal of Translational Medicine and Nature Medicine.
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.