Vinayakumar Siragam

1.4k total citations
27 papers, 1.0k citations indexed

About

Vinayakumar Siragam is a scholar working on Hematology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Vinayakumar Siragam has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 8 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Vinayakumar Siragam's work include Platelet Disorders and Treatments (7 papers), Viral Infections and Outbreaks Research (6 papers) and Viral Infections and Vectors (6 papers). Vinayakumar Siragam is often cited by papers focused on Platelet Disorders and Treatments (7 papers), Viral Infections and Outbreaks Research (6 papers) and Viral Infections and Vectors (6 papers). Vinayakumar Siragam collaborates with scholars based in Canada, China and United States. Vinayakumar Siragam's co-authors include Alan H. Lazarus, Andrew R. Crow, Seng Song, John Freedman, Davor Brinc, Zhaoqun Deng, Burton B. Yang, Siu-Pok Yee, Daniel Y. Lee and Sze Wan Shan and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Blood.

In The Last Decade

Vinayakumar Siragam

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinayakumar Siragam Canada 14 370 290 269 247 193 27 1.0k
Rajan Dewar United States 13 510 1.4× 163 0.6× 180 0.7× 192 0.8× 23 0.1× 32 1.2k
Sabine Charrier France 20 958 2.6× 432 1.5× 167 0.6× 233 0.9× 149 0.8× 38 1.9k
Mohamed Uduman United States 17 601 1.6× 1.1k 3.7× 67 0.2× 91 0.4× 459 2.4× 25 1.8k
Q Tian United States 9 764 2.1× 485 1.7× 117 0.4× 86 0.3× 38 0.2× 10 1.5k
Giorgio Inghirami United States 16 231 0.6× 640 2.2× 102 0.4× 55 0.2× 303 1.6× 28 1.3k
Claudia Bossen United States 14 924 2.5× 1.4k 4.7× 156 0.6× 220 0.9× 266 1.4× 20 2.2k
Il‐Kang Na Germany 22 374 1.0× 594 2.0× 520 1.9× 84 0.3× 36 0.2× 69 1.4k
Hanna IJspeert Netherlands 20 530 1.4× 637 2.2× 68 0.3× 81 0.3× 129 0.7× 42 1.2k
Louise Barnett United States 22 1.1k 3.0× 605 2.1× 197 0.7× 94 0.4× 46 0.2× 36 2.0k

Countries citing papers authored by Vinayakumar Siragam

Since Specialization
Citations

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

Fields of papers citing papers by Vinayakumar Siragam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinayakumar Siragam

This figure shows the co-authorship network connecting the top 25 collaborators of Vinayakumar Siragam. A scholar is included among the top collaborators of Vinayakumar Siragam 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 Vinayakumar Siragam. Vinayakumar Siragam 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.
Siragam, Vinayakumar, et al.. (2024). Seasonal human coronaviruses OC43, 229E, and NL63 induce cell surface modulation of entry receptors and display host cell-specific viral replication kinetics. Microbiology Spectrum. 12(7). e0422023–e0422023. 3 indexed citations
2.
Warner, Bryce M., Angela Sloan, Yvon Deschambault, et al.. (2021). Differential Pathogenesis between Andes Virus Strains CHI-7913 and Chile-9717869 in Syrian Hamsters. Journal of Virology. 95(10). 6 indexed citations
3.
4.
Galipeau, Yannick, Vinayakumar Siragam, Geneviève Laroche, et al.. (2021). Relative Ratios of Human Seasonal Coronavirus Antibodies Predict the Efficiency of Cross-Neutralization of SARS-CoV-2 Spike Binding to ACE2. EBioMedicine. 74. 103700–103700. 32 indexed citations
5.
Warner, Bryce M., Vinayakumar Siragam, & Derek R. Stein. (2019). Assessment of antiviral therapeutics in animal models of Lassa fever. Current Opinion in Virology. 37. 84–90. 5 indexed citations
6.
Banadyga, Logan, Vinayakumar Siragam, Wenjun Zhu, et al.. (2019). The Cytokine Response Profile of Ebola Virus Disease in a Large Cohort of Rhesus Macaques Treated With Monoclonal Antibodies. Open Forum Infectious Diseases. 6(3). ofz046–ofz046. 6 indexed citations
7.
Siragam, Vinayakumar, et al.. (2018). 丝状病毒感染的动物模型. 动物学研究. 39(1). 15–24. 35 indexed citations
8.
Siragam, Vinayakumar & Xiangguo Qiu. (2017). How Can Ebola Virus Infection Lead to Endothelial Dysfunction and Coagulopathy?. Future Virology. 12(3). 89–92. 2 indexed citations
9.
Siragam, Vinayakumar, Xuezhi Cui, Stéphane Massé, et al.. (2014). TMEM43 Mutation p.S358L Alters Intercalated Disc Protein Expression and Reduces Conduction Velocity in Arrhythmogenic Right Ventricular Cardiomyopathy. PLoS ONE. 9(10). e109128–e109128. 30 indexed citations
10.
Johar, Dina, Vinayakumar Siragam, Thomas H. Mahood, & Richard Keijzer. (2014). New insights into lung development and diseases: the role of microRNAs. Biochemistry and Cell Biology. 93(2). 139–148. 16 indexed citations
11.
Liu, Jun, Vinayakumar Siragam, Zheng Gong, et al.. (2014). Automated microrobotic characterization of cell-cell communication. 51. 469–474. 1 indexed citations
12.
Strandberg, Linn, Xuezhi Cui, Arianna Rath, et al.. (2013). Congenital Heart Block Maternal Sera Autoantibodies Target an Extracellular Epitope on the α1G T-Type Calcium Channel in Human Fetal Hearts. PLoS ONE. 8(9). e72668–e72668. 23 indexed citations
13.
Siragam, Vinayakumar, Zina Jeyapalan Rutnam, Weining Yang, et al.. (2012). MicroRNA miR-98 inhibits tumor angiogenesis and invasion by targeting activin receptor-like kinase-4 and matrix metalloproteinase-11. Oncotarget. 3(11). 1370–1385. 115 indexed citations
14.
Shan, Sze Wan, Daniel Y. Lee, Zhaoqun Deng, et al.. (2009). MicroRNA MiR-17 retards tissue growth and represses fibronectin expression. Nature Cell Biology. 11(8). 1031–1038. 175 indexed citations
15.
Brinc, Davor, Hoang Le‐Tien, Andrew R. Crow, et al.. (2008). Transfusion of IgG-Opsonized Foreign Red Blood Cells Mediates Reduction of Antigen-Specific B Cell Priming in a Murine Model. The Journal of Immunology. 181(2). 948–953. 11 indexed citations
16.
17.
Siragam, Vinayakumar, Andrew R. Crow, Davor Brinc, et al.. (2006). Intravenous immunoglobulin ameliorates ITP via activating Fcγ receptors on dendritic cells. Nature Medicine. 12(6). 688–692. 200 indexed citations
18.
Crow, Andrew R., Seng Song, Vinayakumar Siragam, & Alan H. Lazarus. (2006). Mechanisms of action of intravenous immunoglobulin in the treatment of immune thrombocytopenia. Pediatric Blood & Cancer. 47(S5). 710–713. 43 indexed citations
19.
Crow, Andrew R., Vinayakumar Siragam, Davor Brinc, et al.. (2006). A method for ameliorating autoimmune disease by passive transfer of IVIg-primed leukocytes. Protocol Exchange. 1 indexed citations
20.
Song, Seng, Andrew R. Crow, Vinayakumar Siragam, John Freedman, & Alan H. Lazarus. (2004). Monoclonal antibodies that mimic the action of anti-D in the amelioration of murine ITP act by a mechanism distinct from that of IVIg. Blood. 105(4). 1546–1548. 43 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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