Timsy Uppal

1.5k total citations
35 papers, 1.1k citations indexed

About

Timsy Uppal is a scholar working on Infectious Diseases, Epidemiology and Oncology. According to data from OpenAlex, Timsy Uppal has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 14 papers in Epidemiology and 13 papers in Oncology. Recurrent topics in Timsy Uppal's work include Viral-associated cancers and disorders (13 papers), Cytomegalovirus and herpesvirus research (11 papers) and SARS-CoV-2 detection and testing (9 papers). Timsy Uppal is often cited by papers focused on Viral-associated cancers and disorders (13 papers), Cytomegalovirus and herpesvirus research (11 papers) and SARS-CoV-2 detection and testing (9 papers). Timsy Uppal collaborates with scholars based in United States, Russia and India. Timsy Uppal's co-authors include Subhash C. Verma, Pravinkumar Purushothaman, Mano Misra, M. Graça H. Vicente, Svetlana F. Khaiboullina, Erle S. Robertson, Zhiguo Sun, Sagarika Banerjee, Xiaoke Hu and Vaidyanathan Subramanian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Timsy Uppal

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timsy Uppal United States	17	354	329	298	258	253	35	1.1k
Pierre‐Marie Girard France	18	153 0.4×	197 0.6×	207 0.7×	807 3.1×	77 0.3×	31	1.5k
Yariv Wine Israel	18	169 0.5×	147 0.4×	119 0.4×	741 2.9×	133 0.5×	33	1.6k
Qianli Jiang China	20	91 0.3×	84 0.3×	82 0.3×	602 2.3×	385 1.5×	75	1.1k
Juraj Lenčo Czechia	24	60 0.2×	89 0.3×	195 0.7×	568 2.2×	90 0.4×	55	1.2k
Therèse Visser Netherlands	13	191 0.5×	137 0.4×	80 0.3×	358 1.4×	41 0.2×	15	917
Wenxin Luo China	20	381 1.1×	174 0.5×	208 0.7×	536 2.1×	255 1.0×	73	1.4k
Marleen van Oosten Netherlands	16	112 0.3×	125 0.4×	129 0.4×	279 1.1×	349 1.4×	32	998
Takahiro Matsuyama Japan	19	125 0.4×	57 0.2×	174 0.6×	316 1.2×	95 0.4×	58	1.1k
Veronica D. Gonzalez Argentina	19	207 0.6×	131 0.4×	200 0.7×	413 1.6×	87 0.3×	50	1.5k

Countries citing papers authored by Timsy Uppal

Since Specialization

Citations

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

Fields of papers citing papers by Timsy Uppal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timsy Uppal

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

All Works

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20 of 20 papers shown

Petereit, Juli, et al.. (2024). SARS-CoV-2 superinfection in CD14+ monocytes with latent human cytomegalovirus (HCMV) promotes inflammatory cascade. Virus Research. 345. 199375–199375. 3 indexed citations

Li, Lin, Timsy Uppal, Paul D. Hartley, et al.. (2023). Significance of wastewater surveillance in detecting the prevalence of SARS-CoV-2 variants and other respiratory viruses in the community – A multi-site evaluation. One Health. 16. 100536–100536. 8 indexed citations

Uppal, Timsy, et al.. (2022). Screening of SARS-CoV-2 antivirals through a cell-based RNA-dependent RNA polymerase (RdRp) reporter assay. SHILAP Revista de lepidopterología. 1(4). 100046–100046. 12 indexed citations

Li, Lin, Timsy Uppal, Paul D. Hartley, et al.. (2022). Detecting SARS-CoV-2 variants in wastewater and their correlation with circulating variants in the communities. Scientific Reports. 12(1). 16141–16141. 19 indexed citations

Drain, Paul K., Meagan J. Bemer, Jennifer F. Morton, et al.. (2022). Accuracy of 2 Rapid Antigen Tests During 3 Phases of SARS-CoV-2 Variants. JAMA Network Open. 5(8). e2228143–e2228143. 7 indexed citations

Uppal, Timsy, et al.. (2020). KSHV ORF59 and PAN RNA Recruit Histone Demethylases to the Viral Chromatin during Lytic Reactivation. Viruses. 12(4). 420–420. 14 indexed citations

Khaiboullina, Svetlana F., Fabíola M. Ribeiro, Timsy Uppal, et al.. (2019). Zika Virus Transmission Through Blood Tissue Barriers. Frontiers in Microbiology. 10. 1465–1465. 26 indexed citations

Kaul, Rajeev, Pravinkumar Purushothaman, Timsy Uppal, & Subhash C. Verma. (2019). KSHV lytic proteins K-RTA and K8 bind to cellular and viral chromatin to modulate gene expression. PLoS ONE. 14(4). e0215394–e0215394. 15 indexed citations

Khaiboullina, Svetlana F., Timsy Uppal, Stephen C. St. Jeor, et al.. (2019). Transcriptome Profiling Reveals Pro-Inflammatory Cytokines and Matrix Metalloproteinase Activation in Zika Virus Infected Human Umbilical Vein Endothelial Cells. Frontiers in Pharmacology. 10. 642–642. 24 indexed citations

10.

Uppal, Timsy, et al.. (2019). The DNase Activity of Kaposi’s Sarcoma-Associated Herpesvirus SOX Protein Serves an Important Role in Viral Genome Processing during Lytic Replication. Journal of Virology. 93(8). 8 indexed citations

11.

Uppal, Timsy, et al.. (2019). The group A Streptococcus accessory protein RocA: regulatory activity, interacting partners and influence on disease potential. Molecular Microbiology. 113(1). 190–207. 16 indexed citations

12.

Khaiboullina, Svetlana F., Timsy Uppal, Ekaterina Martynova, et al.. (2018). History of ZIKV Infections in India and Management of Disease Outbreaks. Frontiers in Microbiology. 9. 2126–2126. 15 indexed citations

13.

Khaiboullina, Svetlana F., Timsy Uppal, Rupa Sarkar, et al.. (2017). Zika Virus Infection Activates Proinflammatory Cytokines and Triggers Monocyte Differentiation. Blood. 130. 2290. 1 indexed citations

14.

Khaiboullina, Svetlana F., Timsy Uppal, Rupa Sarkar, et al.. (2017). ZIKV infection regulates inflammasomes pathway for replication in monocytes. Scientific Reports. 7(1). 16050–16050. 31 indexed citations

15.

Uppal, Timsy, et al.. (2017). KSHV encoded ORF59 modulates histone arginine methylation of the viral genome to promote viral reactivation. PLoS Pathogens. 13(7). e1006482–e1006482. 32 indexed citations

16.

Banerjee, Shuvomoy, et al.. (2016). The Modulation of Apoptotic Pathways by Gammaherpesviruses. Frontiers in Microbiology. 7. 585–585. 17 indexed citations

17.

Uppal, Timsy, Sagarika Banerjee, Zhiguo Sun, Subhash C. Verma, & Erle S. Robertson. (2014). KSHV LANA—The Master Regulator of KSHV Latency. Viruses. 6(12). 4961–4998. 118 indexed citations

18.

Uppal, Timsy, N. V. S. Dinesh K. Bhupathiraju, & M. Graça H. Vicente. (2013). Synthesis and cellular properties of Near-IR BODIPY–PEG and carbohydrate conjugates. Tetrahedron. 69(23). 4687–4693. 50 indexed citations

19.

Uppal, Timsy, et al.. (2012). Synthesis, Computational Modeling, and Properties of Benzo‐Appended BODIPYs. Chemistry - A European Journal. 18(13). 3893–3905. 68 indexed citations

20.

Jiao, Lijuan, Changjiang Yu, Timsy Uppal, et al.. (2010). Long wavelength red fluorescent dyes from 3,5-diiodo-BODIPYs. Organic & Biomolecular Chemistry. 8(11). 2517–2517. 81 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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