Khosrow Rezvani

1.1k total citations
30 papers, 805 citations indexed

About

Khosrow Rezvani is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Khosrow Rezvani has authored 30 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Cell Biology and 9 papers in Oncology. Recurrent topics in Khosrow Rezvani's work include Ubiquitin and proteasome pathways (15 papers), Cancer-related Molecular Pathways (7 papers) and DNA Repair Mechanisms (5 papers). Khosrow Rezvani is often cited by papers focused on Ubiquitin and proteasome pathways (15 papers), Cancer-related Molecular Pathways (7 papers) and DNA Repair Mechanisms (5 papers). Khosrow Rezvani collaborates with scholars based in United States, Argentina and Iran. Khosrow Rezvani's co-authors include Hongmin Wang, Dong Zhang, Mariella De Biasi, Yanfen Teng, Yanying Liu, Xuejun Wang, David Shim, Jessica Freeling, Ammara Abdullah and Jianqiu Zou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Khosrow Rezvani

30 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khosrow Rezvani United States 18 649 150 141 136 93 30 805
Nicholas M. George United States 14 541 0.8× 167 1.1× 178 1.3× 50 0.4× 146 1.6× 21 902
Raffaele Lopreiato Italy 16 802 1.2× 92 0.6× 109 0.8× 223 1.6× 46 0.5× 33 963
Andre Fortin Canada 6 713 1.1× 84 0.6× 220 1.6× 124 0.9× 93 1.0× 6 920
Parvathi Rudrabhatla United States 18 513 0.8× 192 1.3× 154 1.1× 137 1.0× 41 0.4× 22 918
Ester Martı́n-Aparicio Spain 12 541 0.8× 128 0.9× 98 0.7× 338 2.5× 73 0.8× 18 851
Ching‐Yu Lin Taiwan 20 901 1.4× 159 1.1× 155 1.1× 253 1.9× 39 0.4× 29 1.3k
Masahiro Tominaga Japan 12 707 1.1× 219 1.5× 66 0.5× 166 1.2× 36 0.4× 25 960
Dianbo Qu Canada 18 720 1.1× 206 1.4× 140 1.0× 219 1.6× 161 1.7× 33 1.1k
Yoshinori Takei Japan 17 564 0.9× 62 0.4× 98 0.7× 88 0.6× 48 0.5× 50 878
Pavana M. Hegde United States 22 1.1k 1.7× 67 0.4× 143 1.0× 186 1.4× 57 0.6× 30 1.5k

Countries citing papers authored by Khosrow Rezvani

Since Specialization
Citations

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

Fields of papers citing papers by Khosrow Rezvani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khosrow Rezvani

This figure shows the co-authorship network connecting the top 25 collaborators of Khosrow Rezvani. A scholar is included among the top collaborators of Khosrow Rezvani 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 Khosrow Rezvani. Khosrow Rezvani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Potts, Rashaun, et al.. (2023). Enhancing Anti-Tumorigenic Efficacy of Eugenol in Human Colon Cancer Cells Using Enzyme-Responsive Nanoparticles. Cancers. 15(4). 1145–1145. 19 indexed citations
3.
Rezvani, Khosrow, et al.. (2023). Mortalin: Protein partners, biological impacts, pathological roles, and therapeutic opportunities. Frontiers in Cell and Developmental Biology. 11. 1028519–1028519. 22 indexed citations
4.
Freeling, Jessica, Jamie L. Scholl, Rashaun Potts, et al.. (2022). Pre-clinical safety and therapeutic efficacy of a plant-based alkaloid in a human colon cancer xenograft model. Cell Death Discovery. 8(1). 135–135. 5 indexed citations
5.
Nelson, Morgan E., et al.. (2021). Comprehensive Analysis of Proteasomal Complexes in Mouse Brain Regions Detects ENO2 as a Potential Partner of the Proteasome in the Striatum. Cellular and Molecular Neurobiology. 42(7). 2305–2319. 1 indexed citations
6.
Nelson, Morgan E., et al.. (2021). Proteasome Complexes and Their Heterogeneity in Colorectal, Breast and Pancreatic Cancers. Journal of Cancer. 12(9). 2472–2487. 4 indexed citations
7.
Henderson, Veronica, et al.. (2020). SNAIL Transctiption factor in prostate cancer cells promotes neurite outgrowth. Biochimie. 180. 1–9. 7 indexed citations
8.
Freeling, Jessica & Khosrow Rezvani. (2016). Assessment of murine colorectal cancer by micro-ultrasound using three dimensional reconstruction and non-linear contrast imaging. Molecular Therapy — Methods & Clinical Development. 3. 16070–16070. 14 indexed citations
9.
Teng, Yanfen, Khosrow Rezvani, & Mariella De Biasi. (2015). UBXN2A regulates nicotinic receptor degradation by modulating the E3 ligase activity of CHIP. Biochemical Pharmacology. 97(4). 518–530. 16 indexed citations
10.
Abdullah, Ammara, Morgan E. Nelson, Hongmin Wang, et al.. (2015). Structural studies of UBXN2A and mortalin interaction and the putative role of silenced UBXN2A in preventing response to chemotherapy. Cell Stress and Chaperones. 21(2). 313–326. 12 indexed citations
11.
Abdullah, Ammara, et al.. (2015). Nucleocytoplasmic Translocation of UBXN2A Is Required for Apoptosis during DNA Damage Stresses in Colon Cancer Cells. Journal of Cancer. 6(11). 1066–1078. 10 indexed citations
12.
13.
Liu, Yanying, Lanhai Lü, Gaofeng Dong, et al.. (2014). Ubiquilin-1 Protects Cells from Oxidative Stress and Ischemic Stroke Caused Tissue Injury in Mice. Journal of Neuroscience. 34(8). 2813–2821. 60 indexed citations
14.
Abdullah, Ammara, Donald A. Boudreau, Brij K. Gupta, et al.. (2014). Ubiquitin-like (UBX)-domain-containing protein, UBXN2A, promotes cell death by interfering with the p53-Mortalin interactions in colon cancer cells. Cell Death and Disease. 5(3). e1118–e1118. 43 indexed citations
15.
Zou, Jianqiu, et al.. (2013). FancJ regulates interstrand crosslinker induced centrosome amplification through the activation of polo-like kinase 1. Biology Open. 2(10). 1022–1031. 15 indexed citations
16.
Liu, Yanying, et al.. (2013). The Proteasome Function Reporter GFPu Accumulates in Young Brains of the APPswe/PS1dE9 Alzheimer’s Disease Mouse Model. Cellular and Molecular Neurobiology. 34(3). 315–322. 24 indexed citations
17.
Rezvani, Khosrow, Yanfen Teng, Maureen Mee, et al.. (2012). Proteasomal degradation of the metabotropic glutamate receptor 1α is mediated by Homer‐3 via the proteasomal S8 ATPase. Journal of Neurochemistry. 122(1). 24–37. 18 indexed citations
18.
Rezvani, Khosrow, Yanfen Teng, Yaping Pan, et al.. (2009). UBXD4, a UBX-Containing Protein, Regulates the Cell Surface Number and Stability of α3-Containing Nicotinic Acetylcholine Receptors. Journal of Neuroscience. 29(21). 6883–6896. 40 indexed citations
19.
Rezvani, Khosrow, Yanfen Teng, & Mariella De Biasi. (2009). The Ubiquitin–Proteasome System Regulates the Stability of Neuronal Nicotinic Acetylcholine Receptors. Journal of Molecular Neuroscience. 40(1-2). 177–184. 38 indexed citations
20.
Rezvani, Khosrow, Yanfen Teng, David Shim, & Mariella De Biasi. (2007). Nicotine Regulates Multiple Synaptic Proteins by Inhibiting Proteasomal Activity. Journal of Neuroscience. 27(39). 10508–10519. 94 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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