Narasimhachar Srinivasakumar

724 total citations
19 papers, 588 citations indexed

About

Narasimhachar Srinivasakumar is a scholar working on Genetics, Molecular Biology and Virology. According to data from OpenAlex, Narasimhachar Srinivasakumar has authored 19 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 12 papers in Molecular Biology and 6 papers in Virology. Recurrent topics in Narasimhachar Srinivasakumar's work include Virus-based gene therapy research (12 papers), RNA Interference and Gene Delivery (9 papers) and CRISPR and Genetic Engineering (7 papers). Narasimhachar Srinivasakumar is often cited by papers focused on Virus-based gene therapy research (12 papers), RNA Interference and Gene Delivery (9 papers) and CRISPR and Genetic Engineering (7 papers). Narasimhachar Srinivasakumar collaborates with scholars based in United States. Narasimhachar Srinivasakumar's co-authors include David Rekosh, M L Hammarskjöld, Marie‐Louise Hammarskjöld, Alexander J. Smith, Thomas D. Flanagan, Friedrich Schuening, Pearay L. Ogra, Sachin Prasad, Nathalie Chazal and Carl E. Freter and has published in prestigious journals such as Blood, PLoS ONE and Journal of Virology.

In The Last Decade

Narasimhachar Srinivasakumar

19 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Narasimhachar Srinivasakumar United States 10 316 281 197 180 147 19 588
Nicole Stanke Germany 15 167 0.5× 218 0.8× 100 0.5× 182 1.0× 191 1.3× 22 491
Anne Marie Szilvay Norway 13 421 1.3× 288 1.0× 149 0.8× 87 0.5× 69 0.5× 21 659
Karin Mölling Germany 13 253 0.8× 113 0.4× 129 0.7× 86 0.5× 90 0.6× 21 517
Aliaksandr Druz United States 17 460 1.5× 270 1.0× 200 1.0× 77 0.4× 287 2.0× 20 894
Jörn Stitz Germany 16 393 1.2× 158 0.6× 120 0.6× 384 2.1× 100 0.7× 42 650
D. York United States 11 240 0.8× 269 1.0× 173 0.9× 65 0.4× 244 1.7× 14 583
Mireille Centlivre Netherlands 16 376 1.2× 306 1.1× 146 0.7× 175 1.0× 86 0.6× 28 694
Adarsh Dharan United States 9 277 0.9× 483 1.7× 287 1.5× 53 0.3× 142 1.0× 11 670
John Zaia United States 7 486 1.5× 154 0.5× 59 0.3× 156 0.9× 52 0.4× 11 601
Shaw-Yi Kao United States 6 526 1.7× 624 2.2× 247 1.3× 156 0.9× 231 1.6× 8 1.0k

Countries citing papers authored by Narasimhachar Srinivasakumar

Since Specialization
Citations

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

Fields of papers citing papers by Narasimhachar Srinivasakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narasimhachar Srinivasakumar

This figure shows the co-authorship network connecting the top 25 collaborators of Narasimhachar Srinivasakumar. A scholar is included among the top collaborators of Narasimhachar Srinivasakumar 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 Narasimhachar Srinivasakumar. Narasimhachar Srinivasakumar 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.
Freter, Carl E., et al.. (2018). Gaussian decomposition of high-resolution melt curve derivatives for measuring genome-editing efficiency. PLoS ONE. 13(1). e0190192–e0190192. 3 indexed citations
2.
Freter, Carl E., et al.. (2017). Non-Homologous End Joining and Homology Directed DNA Repair Frequency of Double-Stranded Breaks Introduced by Genome Editing Reagents. PLoS ONE. 12(1). e0169931–e0169931. 46 indexed citations
3.
Freter, Carl E., et al.. (2016). Differentiation of Genome Edited Human iPSCs into Endothelial Progenitor Cells for Hemophilia Α Therapy. Blood. 128(22). 1474–1474. 1 indexed citations
4.
Srinivasakumar, Narasimhachar, Andrew M. Tidball, Asad A. Aboud, et al.. (2013). Gammaretroviral vector encoding a fluorescent marker to facilitate detection of reprogrammed human fibroblasts during iPSC generation. PeerJ. 1. e224–e224. 4 indexed citations
5.
Srinivasakumar, Narasimhachar. (2011). Rev-Free HIV-1 Gene Delivery System for Targeting Rev-RRE-Crm1 Nucleocytoplasmic RNA Transport Pathway. PLoS ONE. 6(12). e28462–e28462. 1 indexed citations
6.
7.
Srinivasakumar, Narasimhachar, et al.. (2005). Gene therapy with drug resistance genes. Cancer Gene Therapy. 13(4). 335–345. 21 indexed citations
8.
Srinivasakumar, Narasimhachar, et al.. (2004). Cloning and Expression of Canine O 6 -Methylguanine-DNA Methyltransferase in Target Cells, Using Gammaretroviral and Lentiviral Vectors. Human Gene Therapy. 15(4). 383–392. 6 indexed citations
9.
Srinivasakumar, Narasimhachar. (2003). Packaging Cell System for Lentivirus Vectors: Preparation and Use. Humana Press eBooks. 69. 275–302. 10 indexed citations
10.
Srinivasakumar, Narasimhachar, et al.. (2002). Evaluation of Tat-Encoding Bicistronic Human Immunodeficiency Virus Type 1 Gene Transfer Vectors in Primary Canine Bone Marrow Mononuclear Cells. Journal of Virology. 76(14). 7334–7342. 3 indexed citations
11.
Srinivasakumar, Narasimhachar. (2001). HIV-1 vector systems.. Somatic Cell and Molecular Genetics. 26(1/6). 51–81. 11 indexed citations
12.
Srinivasakumar, Narasimhachar & Friedrich Schuening. (2000). Novel Tat-Encoding Bicistronic Human Immunodeficiency Virus Type 1-Based Gene Transfer Vectors for High-Level Transgene Expression. Journal of Virology. 74(14). 6659–6668. 6 indexed citations
14.
Srinivasakumar, Narasimhachar, et al.. (1997). The effect of viral regulatory protein expression on gene delivery by human immunodeficiency virus type 1 vectors produced in stable packaging cell lines. Journal of Virology. 71(8). 5841–5848. 86 indexed citations
15.
Srinivasakumar, Narasimhachar, M L Hammarskjöld, & David Rekosh. (1995). Characterization of deletion mutations in the capsid region of human immunodeficiency virus type 1 that affect particle formation and Gag-Pol precursor incorporation. Journal of Virology. 69(10). 6106–6114. 103 indexed citations
16.
Smith, Alexander J., Narasimhachar Srinivasakumar, Marie‐Louise Hammarskjöld, & David Rekosh. (1993). Requirements for incorporation of Pr160gag-pol from human immunodeficiency virus type 1 into virus-like particles. Journal of Virology. 67(4). 2266–2275. 146 indexed citations
17.
Ohki, S., Kevin Arnold, Narasimhachar Srinivasakumar, & Thomas D. Flanagan. (1992). Effect of anionic polymers on fusion of Sendai virus with human erythrocyte ghosts. Antiviral Research. 18(2). 163–177. 14 indexed citations
18.
Srinivasakumar, Narasimhachar, Pearay L. Ogra, & Thomas D. Flanagan. (1991). Characteristics of fusion of respiratory syncytial virus with HEp-2 cells as measured by R18 fluorescence dequenching assay. Journal of Virology. 65(8). 4063–4069. 83 indexed citations
19.
Ohki, S., et al.. (1991). Effect of dextran sulfate on fusion of Sendai virus with human erythrocyte ghosts.. PubMed. 50(2). 199–206. 9 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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