Nagarajan Ramesh

428 total citations
9 papers, 355 citations indexed

About

Nagarajan Ramesh is a scholar working on Genetics, Molecular Biology and Biotechnology. According to data from OpenAlex, Nagarajan Ramesh has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Biotechnology. Recurrent topics in Nagarajan Ramesh's work include Virus-based gene therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Cancer Research and Treatments (3 papers). Nagarajan Ramesh is often cited by papers focused on Virus-based gene therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Cancer Research and Treatments (3 papers). Nagarajan Ramesh collaborates with scholars based in United States, India and Ireland. Nagarajan Ramesh's co-authors include Dechao Yu, Ying Ge, David L. Ennist, Shanthi Ganesh, P. Seshidhar Reddy, Mingzhu Zhu, Yuanhao Li, Yu Chen, Jane Zhang and Jeanette Dilley and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Molecular Therapy.

In The Last Decade

Nagarajan Ramesh

9 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nagarajan Ramesh United States 7 236 186 148 89 75 9 355
Alex Yeung United States 5 178 0.8× 129 0.7× 176 1.2× 207 2.3× 66 0.9× 10 416
H. Van der Poel Netherlands 4 277 1.2× 215 1.2× 165 1.1× 41 0.5× 72 1.0× 10 350
Simon Rajendran Ireland 9 125 0.5× 147 0.8× 48 0.3× 52 0.6× 151 2.0× 38 364
Thomas Rothmann Germany 9 307 1.3× 283 1.5× 192 1.3× 43 0.5× 93 1.2× 9 482
Semyon Rubinchik United States 11 105 0.4× 230 1.2× 76 0.5× 22 0.2× 20 0.3× 14 351
Igor Dumbadze United States 5 73 0.3× 74 0.4× 102 0.7× 128 1.4× 24 0.3× 8 238
Michael Lanuti United States 8 249 1.1× 161 0.9× 115 0.8× 36 0.4× 68 0.9× 8 371
Jennifer Hickey United States 3 160 0.7× 79 0.4× 155 1.0× 16 0.2× 37 0.5× 6 264
Keisuke Kosai United States 7 318 1.3× 216 1.2× 161 1.1× 43 0.5× 118 1.6× 7 458
Kathryn Ottolino‐Perry Canada 8 263 1.1× 105 0.6× 178 1.2× 19 0.2× 81 1.1× 9 353

Countries citing papers authored by Nagarajan Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by Nagarajan Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagarajan Ramesh

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

All Works

9 of 9 papers shown
1.
Ramesh, Nagarajan, et al.. (2023). Myopathies of endocrine origin: A review for physicians. Disease-a-Month. 70(1). 101628–101628. 5 indexed citations
2.
Shibbani, Kamel, Marie‐France Poulin, Karim Diab, et al.. (2020). Preclinical comparative assessment of a dedicated pediatric poly‐L‐lactic‐acid‐based bioresorbable scaffold with a low‐profile bare metal stent. Catheterization and Cardiovascular Interventions. 96(4). 878–888. 9 indexed citations
3.
Ramesh, Nagarajan, Ying Ge, David L. Ennist, et al.. (2006). CG0070, a Conditionally Replicating Granulocyte Macrophage Colony-Stimulating Factor–Armed Oncolytic Adenovirus for the Treatment of Bladder Cancer. Clinical Cancer Research. 12(1). 305–313. 190 indexed citations
4.
Ramesh, Nagarajan, et al.. (2005). CG0070, a conditionally replicating GM-CSF armed oncolytic adenovirus for the treatment of bladder cancer. Cancer Research. 65. 1185–1185. 3 indexed citations
5.
Borovjagin, Anton V., et al.. (2005). Complex mosaicism is a novel approach to infectivity enhancement of adenovirus type 5-based vectors. Cancer Gene Therapy. 12(5). 475–486. 38 indexed citations
6.
Ramesh, Nagarajan, et al.. (2004). Identification of Pretreatment Agents to Enhance Adenovirus Infection of Bladder Epithelium. Molecular Therapy. 10(4). 697–705. 34 indexed citations
7.
Zhang, Jane, Nagarajan Ramesh, Yu Chen, et al.. (2002). Identification of human uroplakin II promoter and its use in the construction of CG8840, a urothelium-specific adenovirus variant that eliminates established bladder tumors in combination with docetaxel.. PubMed. 62(13). 3743–50. 57 indexed citations
8.
Freitas, Antônio Carlos de, et al.. (2002). Modified blasticidin S resistance gene (bsrm) as a selectable marker for construction of retroviral vectors. Journal of Biotechnology. 95(1). 57–62. 6 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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