David Akhavan

3.1k total citations
19 papers, 1.1k citations indexed

About

David Akhavan is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, David Akhavan has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in David Akhavan's work include CAR-T cell therapy research (4 papers), Glioma Diagnosis and Treatment (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). David Akhavan is often cited by papers focused on CAR-T cell therapy research (4 papers), Glioma Diagnosis and Treatment (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). David Akhavan collaborates with scholars based in United States, Australia and United Kingdom. David Akhavan's co-authors include Paul S. Mischel, Timothy F. Cloughesy, Larry J. W. Miercke, Shahram Khademi, William Harries, Robert M. Stroud, Christine E. Brown, Darya Alizadeh, Jennifer Kelly Shepphird and Dongrui Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Metabolism and Cancer Research.

In The Last Decade

David Akhavan

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Akhavan United States 11 725 263 221 198 159 19 1.1k
Samuel K. McBrayer United States 18 778 1.1× 196 0.7× 484 2.2× 229 1.2× 105 0.7× 44 1.2k
Bella S. Guerrouahen Qatar 13 467 0.6× 462 1.8× 364 1.6× 124 0.6× 234 1.5× 21 1.1k
Amanda Linkous United States 14 525 0.7× 247 0.9× 200 0.9× 263 1.3× 184 1.2× 22 886
David A. Nathanson United States 23 581 0.8× 328 1.2× 356 1.6× 346 1.7× 193 1.2× 63 1.4k
Al Charest United States 14 761 1.0× 307 1.2× 352 1.6× 299 1.5× 108 0.7× 20 1.2k
Petra Hååg Sweden 19 804 1.1× 185 0.7× 267 1.2× 95 0.5× 193 1.2× 43 1.3k
Mariachiara Buccarelli Italy 20 717 1.0× 265 1.0× 472 2.1× 279 1.4× 115 0.7× 40 1.2k
James S. Hale United States 18 663 0.9× 411 1.6× 362 1.6× 309 1.6× 103 0.6× 30 1.2k
Flora Cimmino Italy 20 511 0.7× 233 0.9× 370 1.7× 133 0.7× 90 0.6× 33 1.1k
Caroline Delmas France 22 794 1.1× 408 1.6× 433 2.0× 343 1.7× 104 0.7× 37 1.4k

Countries citing papers authored by David Akhavan

Since Specialization
Citations

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

Fields of papers citing papers by David Akhavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Akhavan

This figure shows the co-authorship network connecting the top 25 collaborators of David Akhavan. A scholar is included among the top collaborators of David Akhavan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Akhavan. David Akhavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Akhavan, David, John D. Jeppson, Brenda Aguilar, et al.. (2024). Evaluation of the Immunomodulatory Effects of Radiation for Chimeric Antigen Receptor T Cell Therapy in Glioblastoma Multiforme. Cells. 13(13). 1075–1075. 3 indexed citations
2.
Sattar, Zeeshan, Nourhan Chaaban, Sagar Ranka, et al.. (2024). Stereotactic cardiac radiotherapy for refractory ventricular tachycardia in structural heart disease patients: a systematic review. EP Europace. 27(1). 5 indexed citations
3.
4.
Bhargav, Adip G., et al.. (2023). Advances in computational and translational approaches for malignant glioma. Frontiers in Physiology. 14. 1219291–1219291. 5 indexed citations
5.
6.
Jeppson, John D., Jie Zhao, Rashna Madan, et al.. (2022). EGFR as a potent CAR T target in triple negative breast cancer brain metastases. Breast Cancer Research and Treatment. 197(1). 57–69. 15 indexed citations
7.
Arnold, Levi, et al.. (2021). Abstract 3170: Targeting tumor-associated astrocyte dependence in glioblastoma treatment. Cancer Research. 81(13_Supplement). 3170–3170. 1 indexed citations
8.
Cushman, Taylor R., Bernard L. Jones, David Akhavan, et al.. (2020). The Effects of Time to Treatment Initiation for Patients With Non–small-cell Lung Cancer in the United States. Clinical Lung Cancer. 22(1). e84–e97. 24 indexed citations
9.
Akhavan, David, Paul J. Yazaki, Dave Yamauchi, et al.. (2020). Phase I Study of Yttrium-90 Radiolabeled M5A Anti-Carcinoembryonic Antigen Humanized Antibody in Patients with Advanced Carcinoembryonic Antigen Producing Malignancies. Cancer Biotherapy and Radiopharmaceuticals. 35(1). 10–15. 19 indexed citations
10.
Akhavan, David, Darya Alizadeh, Dongrui Wang, et al.. (2019). CAR T cells for brain tumors: Lessons learned and road ahead. Immunological Reviews. 290(1). 60–84. 164 indexed citations
11.
Amini, Arya, Tyler P. Robin, Chad G. Rusthoven, et al.. (2018). Disparities Predict for Higher Rates of Cut-through Hysterectomies in Locally Advanced Cervical Cancer. American Journal of Clinical Oncology. 42(1). 21–26. 4 indexed citations
12.
Amini, Arya, Scott Glaser, David Akhavan, et al.. (2018). Factors Predicting for Early Mortality in Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 102(3). e670–e671. 1 indexed citations
13.
Masui, Kenta, Kazuhiro Tanaka, David Akhavan, et al.. (2013). mTOR Complex 2 Controls Glycolytic Metabolism in Glioblastoma through FoxO Acetylation and Upregulation of c-Myc. Cell Metabolism. 18(5). 726–739. 341 indexed citations
14.
Lugassy, Claire, Madhuri Wadehra, Xinmin Li, et al.. (2012). Pilot Study on “Pericytic Mimicry” and Potential Embryonic/Stem Cell Properties of Angiotropic Melanoma Cells Interacting with the Abluminal Vascular Surface. Cancer Microenvironment. 6(1). 19–29. 45 indexed citations
15.
Cvrljevic, Anna N., David Akhavan, Min Wu, et al.. (2011). Activation of Src induces mitochondrial localisation of de2-7EGFR (EGFRvIII) in glioma cells: implications for glucose metabolism. Journal of Cell Science. 124(17). 2938–2950. 36 indexed citations
16.
Akhavan, David, Timothy F. Cloughesy, & Paul S. Mischel. (2010). mTOR signaling in glioblastoma: lessons learned from bench to bedside. Neuro-Oncology. 12(8). 882–889. 146 indexed citations
17.
LaPorte, Sherry L., C.M. Forsyth, Brian C. Cunningham, et al.. (2005). De novodesign of an IL-4 antagonist and its structure at 1.9 Å. Proceedings of the National Academy of Sciences. 102(6). 1889–1894. 22 indexed citations
18.
Harries, William, David Akhavan, Larry J. W. Miercke, Shahram Khademi, & Robert M. Stroud. (2004). The channel architecture of aquaporin 0 at a 2.2-Å resolution. Proceedings of the National Academy of Sciences. 101(39). 14045–14050. 220 indexed citations
19.
Stroud, Robert M., Larry J. W. Miercke, Joseph D. O’Connell, et al.. (2003). Glycerol facilitator GlpF and the associated aquaporin family of channels. Current Opinion in Structural Biology. 13(4). 424–431. 65 indexed citations

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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