Sandesh Subramanya

1.1k total citations
19 papers, 819 citations indexed

About

Sandesh Subramanya is a scholar working on Molecular Biology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sandesh Subramanya has authored 19 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sandesh Subramanya's work include RNA Interference and Gene Delivery (8 papers), Immunotherapy and Immune Responses (6 papers) and HIV Research and Treatment (4 papers). Sandesh Subramanya is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Immunotherapy and Immune Responses (6 papers) and HIV Research and Treatment (4 papers). Sandesh Subramanya collaborates with scholars based in United States, United Kingdom and Israel. Sandesh Subramanya's co-authors include Premlata Shankar, N. Manjunath, Sang Soo Kim, Haoquan Wu, Priti Kumar, Kojo Mensa‐Wilmot, Motomu Shimaoka, Dan Peer, Chunting Ye and Isaac M. Chiu and has published in prestigious journals such as PLoS ONE, Advanced Drug Delivery Reviews and Journal of Virology.

In The Last Decade

Sandesh Subramanya

17 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandesh Subramanya United States 14 474 179 119 114 104 19 819
Frank Wegmann Netherlands 13 298 0.6× 269 1.5× 97 0.8× 96 0.8× 82 0.8× 27 722
Graziella Piras United States 13 665 1.4× 227 1.3× 84 0.7× 308 2.7× 266 2.6× 16 1.2k
Jaydip Das Gupta United States 15 348 0.7× 332 1.9× 115 1.0× 158 1.4× 72 0.7× 23 774
Ernesto Mejías‐Pérez Spain 13 326 0.7× 311 1.7× 165 1.4× 135 1.2× 199 1.9× 19 784
Agata Levay United States 16 751 1.6× 428 2.4× 292 2.5× 156 1.4× 41 0.4× 21 1.4k
Mary Saltarelli United States 12 279 0.6× 156 0.9× 195 1.6× 109 1.0× 317 3.0× 16 799
Jack A. Ragheb United States 21 640 1.4× 573 3.2× 147 1.2× 313 2.7× 209 2.0× 32 1.5k
Rachel E. Rigby United Kingdom 12 910 1.9× 585 3.3× 176 1.5× 82 0.7× 71 0.7× 16 1.3k
Randall K. Merling United States 15 382 0.8× 221 1.2× 80 0.7× 201 1.8× 159 1.5× 20 667
F. Bedin France 13 523 1.1× 278 1.6× 152 1.3× 163 1.4× 83 0.8× 21 1.1k

Countries citing papers authored by Sandesh Subramanya

Since Specialization
Citations

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

Fields of papers citing papers by Sandesh Subramanya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandesh Subramanya

This figure shows the co-authorship network connecting the top 25 collaborators of Sandesh Subramanya. A scholar is included among the top collaborators of Sandesh Subramanya 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 Sandesh Subramanya. Sandesh Subramanya 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.
Qayyum, Aliya, Ken‐Pin Hwang, Jason Stafford, et al.. (2019). Immunotherapy response evaluation with magnetic resonance elastography (MRE) in advanced HCC. Journal for ImmunoTherapy of Cancer. 7(1). 329–329. 36 indexed citations
2.
Curry, Jonathan L., Alexandre Reuben, Robert Szczepaniak‐Sloane, et al.. (2019). Gene expression profiling of lichenoid dermatitis immune‐related adverse event from immune checkpoint inhibitors reveals increased CD14+ and CD16+ monocytes driving an innate immune response. Journal of Cutaneous Pathology. 46(9). 627–636. 32 indexed citations
3.
Lopera-Madrid, Jaime, Jorge E. Osorio, Yongqun He, et al.. (2017). Safety and immunogenicity of mammalian cell derived and Modified Vaccinia Ankara vectored African swine fever subunit antigens in swine. Veterinary Immunology and Immunopathology. 185. 20–33. 64 indexed citations
4.
Simmons, Graham, et al.. (2011). Advances in Dendritic Cell-Based Vaccines for HIV. Current Medicinal Chemistry. 18(26). 3987–3994. 6 indexed citations
5.
Kim, Sang Soo, Sandesh Subramanya, Dan Peer, Motomu Shimaoka, & Premlata Shankar. (2011). Antibody-Mediated Delivery of siRNAs for Anti-HIV Therapy. Methods in molecular biology. 721. 339–353. 17 indexed citations
6.
Kim, Sang Soo, Chunting Ye, Priti Kumar, et al.. (2010). Targeted Delivery of siRNA to Macrophages for Anti-inflammatory Treatment. Molecular Therapy. 18(5). 993–1001. 143 indexed citations
7.
Subramanya, Sandesh, Sang Soo Kim, N. Manjunath, & Premlata Shankar. (2010). RNA interference-based therapeutics for human immunodeficiency virus HIV-1 treatment: synthetic siRNA or vector-based shRNA?. Expert Opinion on Biological Therapy. 10(2). 201–213. 36 indexed citations
8.
Subramanya, Sandesh, Myriam Armant, Janelle R. Salkowitz, et al.. (2010). Enhanced Induction of HIV-specific Cytotoxic T Lymphocytes by Dendritic Cell-targeted Delivery of SOCS-1 siRNA. Molecular Therapy. 18(11). 2028–2037. 28 indexed citations
9.
Subramanya, Sandesh, et al.. (2010). Trypanosoma brucei: Reduction of GPI-phospholipase C protein during differentiation is dependent on replication of newly transformed cells. Experimental Parasitology. 125(3). 222–229. 3 indexed citations
10.
Subramanya, Sandesh, et al.. (2010). Enhanced induction of HIV-specific CTL by dendritic cell-targeted delivery of SOCS-1 siRNA. Retrovirology. 7(S1).
11.
Manjunath, N., Haoquan Wu, Sandesh Subramanya, & Premlata Shankar. (2009). Lentiviral delivery of short hairpin RNAs. Advanced Drug Delivery Reviews. 61(9). 732–745. 121 indexed citations
12.
Kim, Sang Soo, Dan Peer, Priti Kumar, et al.. (2009). RNAi-mediated CCR5 Silencing by LFA-1-targeted Nanoparticles Prevents HIV Infection in BLT Mice. Molecular Therapy. 18(2). 370–376. 165 indexed citations
13.
Subramanya, Sandesh & Kojo Mensa‐Wilmot. (2009). Diacylglycerol-Stimulated Endocytosis of Transferrin in Trypanosomatids Is Dependent on Tyrosine Kinase Activity. PLoS ONE. 5(1). e8538–e8538. 16 indexed citations
14.
15.
Subramanya, Sandesh, et al.. (2009). Recognizing TORCH Group of Infections on Fetal Sonography. Donald School Journal of Ultrasound in Obstetrics & Gynecology. 3(4). 47–50. 1 indexed citations
16.
Subramanya, Sandesh, Sang Soo Kim, Sojan Abraham, et al.. (2009). Targeted Delivery of Small Interfering RNA to Human Dendritic Cells To Suppress Dengue Virus Infection and Associated Proinflammatory Cytokine Production. Journal of Virology. 84(5). 2490–2501. 80 indexed citations
17.
Subramanya, Sandesh, et al.. (2008). Glycosylphosphatidylinositol-specific phospholipase C regulates transferrin endocytosis in the African trypanosome. Biochemical Journal. 417(3). 685–694. 22 indexed citations
18.
Subramanya, Sandesh & Kojo Mensa‐Wilmot. (2006). Regulated cleavage of intracellular glycosylphosphatidylinositol in a trypanosome. FEBS Journal. 273(10). 2110–2126. 15 indexed citations
19.
Mullen, CA, et al.. (2000). Fever and neutropenia in pediatric hematopoietic stem cell transplant patients. Bone Marrow Transplantation. 25(1). 59–65. 34 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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