Ramesh Ramakrishnan

2.9k total citations
38 papers, 2.3k citations indexed

About

Ramesh Ramakrishnan is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Ramesh Ramakrishnan has authored 38 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Epidemiology. Recurrent topics in Ramesh Ramakrishnan's work include Herpesvirus Infections and Treatments (9 papers), Virus-based gene therapy research (8 papers) and Molecular Biology Techniques and Applications (8 papers). Ramesh Ramakrishnan is often cited by papers focused on Herpesvirus Infections and Treatments (9 papers), Virus-based gene therapy research (8 papers) and Molecular Biology Techniques and Applications (8 papers). Ramesh Ramakrishnan collaborates with scholars based in United States, Poland and India. Ramesh Ramakrishnan's co-authors include Robert C. Jones, Jian Qin, Simant Dube, Sandra L. Spurgeon, D J Fink, Joseph C. Glorioso, Michael Levine, Peggy Marconi, Alain Mir and Pietro Luigi Poliani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Immunology.

In The Last Decade

Ramesh Ramakrishnan

38 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Ramakrishnan United States 23 1.2k 684 471 322 229 38 2.3k
Lesley Heptinstall United Kingdom 13 1.1k 1.0× 395 0.6× 221 0.5× 108 0.3× 226 1.0× 19 2.5k
Michel Darmon France 35 1.5k 1.3× 442 0.6× 284 0.6× 196 0.6× 130 0.6× 81 3.5k
Channabasavaiah B. Gurumurthy United States 25 2.0k 1.7× 725 1.1× 147 0.3× 338 1.0× 147 0.6× 82 2.9k
John Smith United Kingdom 15 2.0k 1.8× 759 1.1× 270 0.6× 122 0.4× 325 1.4× 22 3.5k
Ana del Pozo‐Rodríguez Spain 29 1.5k 1.3× 426 0.6× 225 0.5× 171 0.5× 83 0.4× 66 2.6k
Wagner Fontes Brazil 24 1.1k 0.9× 357 0.5× 212 0.5× 129 0.4× 128 0.6× 118 2.4k
Karl S. Matlin United States 31 2.7k 2.4× 656 1.0× 884 1.9× 199 0.6× 152 0.7× 63 5.0k
Arnold Oliphant United States 28 2.1k 1.8× 1.3k 1.9× 113 0.2× 186 0.6× 388 1.7× 38 4.5k
Mark D. Driscoll United States 16 1.5k 1.3× 683 1.0× 110 0.2× 215 0.7× 267 1.2× 22 2.2k

Countries citing papers authored by Ramesh Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Ramakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Ramakrishnan. A scholar is included among the top collaborators of Ramesh Ramakrishnan 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 Ramesh Ramakrishnan. Ramesh Ramakrishnan 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.
Steinberg, Alexis, Clifton W. Callaway, Romergryko G. Geocadin, et al.. (2024). Clinicians’ approach to predicting post-cardiac arrest outcomes for patients enrolled in a United States clinical trial. Resuscitation. 199. 110226–110226. 4 indexed citations
2.
Beekman, Rachel, Sarah M. Perman, Christine Nguyen, et al.. (2024). Variability in temperature control practices amongst the Influence of Cooling duration on Efficacy in Cardiac Arrest Patients (ICECAP) trial. Resuscitation. 203. 110397–110397. 1 indexed citations
3.
Troll, Christopher J., Nicholas H. Putnam, Paul D. Hartley, et al.. (2018). Structural Variation Detection by Proximity Ligation from Formalin-Fixed, Paraffin-Embedded Tumor Tissue. Journal of Molecular Diagnostics. 21(3). 375–383. 8 indexed citations
4.
Gong, Haibiao, et al.. (2018). Single-Cell mRNA-Seq Using the Fluidigm C1 System and Integrated Fluidics Circuits. Methods in molecular biology. 1783. 193–207. 20 indexed citations
5.
Gong, Haibiao, Xiaohui Wang, Benjamin P. Liu, et al.. (2017). Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection. Scientific Reports. 7(1). 2776–2776. 22 indexed citations
6.
Szulwach, Keith E., Peilin Chen, Jing Wang, et al.. (2015). Single-Cell Genetic Analysis Using Automated Microfluidics to Resolve Somatic Mosaicism. PLoS ONE. 10(8). e0135007–e0135007. 39 indexed citations
7.
Tang, Xiaojia, Saurabh Baheti, Khader Shameer, et al.. (2014). The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data. Nucleic Acids Research. 42(22). e172–e172. 26 indexed citations
8.
Forneris, Tanya, Elizabeth Fries, Aleta L. Meyer, et al.. (2010). Results of a Rural School-Based Peer-Led Intervention for Youth: Goals for Health. Journal of School Health. 80(2). 57–65. 49 indexed citations
9.
Menzel, Stephan, Jian Qin, Nisha Vasavda, Swee Lay Thein, & Ramesh Ramakrishnan. (2010). Experimental Generation of SNP Haplotype Signatures in Patients with Sickle Cell Anaemia. PLoS ONE. 5(9). e13004–e13004. 8 indexed citations
10.
Seeb, James E., Carita E. Pascal, Ramesh Ramakrishnan, & Lisa W. Seeb. (2009). SNP Genotyping by the 5′-Nuclease Reaction: Advances in High-Throughput Genotyping with Nonmodel Organisms. Methods in molecular biology. 578. 277–292. 88 indexed citations
11.
Wang, Jun, Min Lin, Andrew Crenshaw, et al.. (2009). High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays. BMC Genomics. 10(1). 561–561. 127 indexed citations
12.
Qin, Jian, Robert C. Jones, & Ramesh Ramakrishnan. (2008). Studying copy number variations using a nanofluidic platform. Nucleic Acids Research. 36(18). e116–e116. 81 indexed citations
13.
Dube, Simant, Jian Qin, & Ramesh Ramakrishnan. (2008). Mathematical Analysis of Copy Number Variation in a DNA Sample Using Digital PCR on a Nanofluidic Device. PLoS ONE. 3(8). e2876–e2876. 249 indexed citations
14.
Spurgeon, Sandra L., Robert C. Jones, & Ramesh Ramakrishnan. (2008). High Throughput Gene Expression Measurement with Real Time PCR in a Microfluidic Dynamic Array. PLoS ONE. 3(2). e1662–e1662. 302 indexed citations
15.
Dorris, David, Ramesh Ramakrishnan, Connie Zhao, et al.. (2002). A Highly Reproducible, Linear, and Automated Sample Preparation Method for DNA Microarrays. Genome Research. 12(6). 976–984. 37 indexed citations
16.
Ramakrishnan, Ramesh. (2002). An assessment of Motorola CodeLinkTM microarray performance for gene expression profiling applications. Nucleic Acids Research. 30(7). 30e–30. 152 indexed citations
17.
Sendera, Timothy J., et al.. (2002). Expression Profiling with Oligonucleotide Arrays: Technologies and Applications for Neurobiology. Neurochemical Research. 27(10). 1005–1026. 7 indexed citations
18.
Xu, Youchun, et al.. (2001). THE USE AND EVALUATION OF 2+2 PHOTOADDITION IN IMMOBILIZATION OF OLIGONUCLEOTIDES ON A THREE DIMENSIONAL HYDROGEL MATRIX. Nucleosides Nucleotides & Nucleic Acids. 20(4-7). 1371–1375. 5 indexed citations
19.
20.

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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