George V. Popescu

3.5k total citations
62 papers, 2.6k citations indexed

About

George V. Popescu is a scholar working on Plant Science, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, George V. Popescu has authored 62 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 14 papers in Molecular Biology and 9 papers in Computer Networks and Communications. Recurrent topics in George V. Popescu's work include Plant-Microbe Interactions and Immunity (10 papers), Stroke Rehabilitation and Recovery (8 papers) and Virtual Reality Applications and Impacts (7 papers). George V. Popescu is often cited by papers focused on Plant-Microbe Interactions and Immunity (10 papers), Stroke Rehabilitation and Recovery (8 papers) and Virtual Reality Applications and Impacts (7 papers). George V. Popescu collaborates with scholars based in United States, Romania and United Kingdom. George V. Popescu's co-authors include Grigore Burdea, Mourad Bouzit, Sorina C. Popescu, Rareș Boian, M Snyder, Mark Gerstein, Savithramma P. Dinesh‐Kumar, Vincent R. Hentz, Judith E. Deutsch and Montrell Seay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

George V. Popescu

57 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George V. Popescu United States 20 813 711 554 513 370 62 2.6k
Longbin Zhang China 23 180 0.2× 676 1.0× 127 0.2× 487 0.9× 145 0.4× 74 1.9k
Hongwu Wang United States 19 79 0.1× 109 0.2× 140 0.3× 287 0.6× 107 0.3× 90 1.7k
Daisuke Sakamoto Japan 27 496 0.6× 352 0.5× 10 0.0× 100 0.2× 319 0.9× 158 2.4k
R. Jacob Vogelstein United States 23 75 0.1× 683 1.0× 53 0.1× 423 0.8× 1.0k 2.8× 54 2.4k
Erik Granum Denmark 18 121 0.1× 340 0.5× 34 0.1× 295 0.6× 113 0.3× 60 2.1k
Donghan Kim South Korea 20 113 0.1× 124 0.2× 20 0.0× 305 0.6× 81 0.2× 136 1.4k
Sung Jun Jung South Korea 32 95 0.1× 912 1.3× 46 0.1× 353 0.7× 276 0.7× 90 3.0k
Yuting Ye China 24 51 0.1× 337 0.5× 23 0.0× 177 0.3× 185 0.5× 93 2.0k
Y. Uno Japan 8 94 0.1× 28 0.0× 79 0.1× 806 1.6× 1.2k 3.1× 27 2.0k

Countries citing papers authored by George V. Popescu

Since Specialization
Citations

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

Fields of papers citing papers by George V. Popescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George V. Popescu. 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 George V. Popescu. The network helps show where George V. Popescu may publish in the future.

Co-authorship network of co-authors of George V. Popescu

This figure shows the co-authorship network connecting the top 25 collaborators of George V. Popescu. A scholar is included among the top collaborators of George V. Popescu 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 George V. Popescu. George V. Popescu 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.
Mogoantă, Laurenţiu, et al.. (2023). Assessment of tumoral and peritumoral inflammatory reaction in cutaneous malignant melanomas. Romanian Journal of Morphology and Embryology. 64(1). 41–48. 3 indexed citations
2.
Popescu, George V., et al.. (2023). Baldur: Bayesian Hierarchical Modeling for Label-Free Proteomics with Gamma Regressing Mean-Variance Trends. Molecular & Cellular Proteomics. 22(12). 100658–100658.
3.
Mitroi, George, et al.. (2023). Assessment of tumor microenvironment in gastric adenocarcinoma. Romanian Journal of Morphology and Embryology. 64(2). 251–261. 4 indexed citations
4.
Adhikari, Bikash, et al.. (2022). Growth and Photosynthetic Responses of Cowpea Genotypes under Waterlogging at the Reproductive Stage. Plants. 11(17). 2315–2315. 9 indexed citations
5.
6.
Adhikari, Bikash, et al.. (2022). Short waterlogging events differently affect morphology and photosynthesis of two cucumber (Cucumis sativus L.) cultivars. Frontiers in Plant Science. 13. 896244–896244. 16 indexed citations
7.
Brauer, Elizabeth K., Nagib Ahsan, George V. Popescu, Jay J. Thelen, & Sorina C. Popescu. (2022). Back From the Dead: The Atypical Kinase Activity of a Pseudokinase Regulator of Cation Fluxes During Inducible Immunity. Frontiers in Plant Science. 13. 931324–931324. 2 indexed citations
8.
Ahsan, Nagib, et al.. (2020). Methods for Optimization of Protein Extraction and Proteogenomic Mapping in Sweet Potato. Methods in molecular biology. 2139. 309–324. 5 indexed citations
9.
McConnell, Evan W., et al.. (2019). Evaluation of linear models and missing value imputation for the analysis of peptide-centric proteomics. BMC Bioinformatics. 20(S2). 102–102. 19 indexed citations
10.
Popescu, Sorina C., et al.. (2019). Multispecies genome-wide analysis defines the MAP3K gene family in Gossypium hirsutum and reveals conserved family expansions. BMC Bioinformatics. 20(S2). 99–99. 6 indexed citations
11.
Brauer, Elizabeth K., George V. Popescu, Dharmendra Kumar Singh, et al.. (2018). Integrative network-centric approach reveals signaling pathways associated with plant resistance and susceptibility to Pseudomonas syringae. PLoS Biology. 16(12). e2005956–e2005956. 9 indexed citations
12.
McConnell, Evan W., et al.. (2018). Proteome-Wide Analysis of Cysteine Reactivity during Effector-Triggered Immunity. PLANT PHYSIOLOGY. 179(4). 1248–1264. 23 indexed citations
13.
Popescu, Sorina C., et al.. (2017). Insights into the Structure, Function, and Ion-Mediated Signaling Pathways Transduced by Plant Integrin-Linked Kinases. Frontiers in Plant Science. 8. 12 indexed citations
14.
Popescu, George V., et al.. (2015). Compton background suppression with a multi-element scintillation detector using high speed data acquisition and digital signal processing. Journal of Radioanalytical and Nuclear Chemistry. 307(3). 1949–1955. 5 indexed citations
15.
16.
Lee, Hyoung Yool, Christopher H. Bowen, George V. Popescu, et al.. (2011). Arabidopsis RTNLB1 and RTNLB2 Reticulon-Like Proteins Regulate Intracellular Trafficking and Activity of the FLS2 Immune Receptor . The Plant Cell. 23(9). 3374–3391. 60 indexed citations
17.
Popescu, Sorina C., George V. Popescu, Montrell Seay, et al.. (2007). Differential binding of calmodulin-related proteins to their targets revealed through high-density Arabidopsis protein microarrays. Proceedings of the National Academy of Sciences. 104(11). 4730–4735. 292 indexed citations
18.
Chang, Tianying, Jinliang Fan, Mustaque Ahamad, George V. Popescu, & Zhen Liu. (2005). Preference-aware overlay topologies for group communication. GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.. 5 pp.–5 pp.. 1 indexed citations
19.
Popescu, George V. & Zhen Liu. (2003). On scheduling 3D model transmission in network virtual environments. 127–133. 1 indexed citations
20.
Burdea, Grigore, George Patounakis, George V. Popescu, & Robert E. Weiss. (2002). Virtual reality training for the diagnosis of prostate cancer. View. 39. 6–13. 28 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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