Ramesh Ramamoorthy

1.4k total citations
42 papers, 1.1k citations indexed

About

Ramesh Ramamoorthy is a scholar working on Parasitology, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Ramesh Ramamoorthy has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Parasitology, 11 papers in Statistical and Nonlinear Physics and 10 papers in Computer Networks and Communications. Recurrent topics in Ramesh Ramamoorthy's work include Vector-borne infectious diseases (12 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and stochastic dynamics and bifurcation (8 papers). Ramesh Ramamoorthy is often cited by papers focused on Vector-borne infectious diseases (12 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and stochastic dynamics and bifurcation (8 papers). Ramesh Ramamoorthy collaborates with scholars based in United States, India and Iran. Ramesh Ramamoorthy's co-authors include Mario T. Philipp, Mary E. Wilson, J E Donelson, Karthikeyan Rajagopal, Sigrid C. Roberts, John E. Donelson, Kristin G. Swihart, Hamidreza Namazi, Monica E. Embers and Karl J. Indest and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and FEBS Letters.

In The Last Decade

Ramesh Ramamoorthy

42 papers receiving 1.1k 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 Ramamoorthy United States 19 568 361 338 240 214 42 1.1k
Peter Hagedorn Denmark 29 305 0.5× 332 0.9× 157 0.5× 76 0.3× 1.1k 5.2× 58 2.4k
Shigeru Tajima Japan 29 156 0.3× 1.2k 3.4× 1.4k 4.2× 215 0.9× 198 0.9× 128 2.5k
Xiaoyan Gao China 24 262 0.5× 997 2.8× 1.1k 3.3× 90 0.4× 147 0.7× 94 1.6k
Kenichi Kaneko Japan 26 92 0.2× 194 0.5× 171 0.5× 91 0.4× 333 1.6× 99 1.7k
Joseph A. Jackson United Kingdom 23 483 0.9× 232 0.6× 167 0.5× 65 0.3× 197 0.9× 74 1.6k
Shahid Karim United States 29 1.4k 2.6× 766 2.1× 317 0.9× 74 0.3× 519 2.4× 110 2.8k
A.J. Robinson New Zealand 28 184 0.3× 628 1.7× 66 0.2× 456 1.9× 878 4.1× 64 3.1k
David H. Walker United States 22 1.0k 1.8× 729 2.0× 449 1.3× 94 0.4× 80 0.4× 58 1.4k
Akira Arakawa Japan 29 192 0.3× 287 0.8× 91 0.3× 193 0.8× 291 1.4× 167 3.0k
Michael J. Herron United States 24 433 0.8× 355 1.0× 141 0.4× 242 1.0× 286 1.3× 44 1.5k

Countries citing papers authored by Ramesh Ramamoorthy

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Ramamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Ramamoorthy

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Ramamoorthy. A scholar is included among the top collaborators of Ramesh Ramamoorthy 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 Ramamoorthy. Ramesh Ramamoorthy 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.
Krishnamoorthy, R., et al.. (2024). Haemorrhage diagnosis in colour fundus images using a fast-convolutional neural network based on a modified U-Net. Network Computation in Neural Systems. 36(1). 198–219. 4 indexed citations
2.
3.
Ramamoorthy, Ramesh, et al.. (2022). Impact of repulsive coupling in exhibiting distinct collective dynamical states. The European Physical Journal Special Topics. 231(22-23). 4117–4122. 3 indexed citations
4.
Ramamoorthy, Ramesh, et al.. (2021). ANALYSIS OF THE CORRELATION BETWEEN EYES AND BRAIN ACTIVITIES IN RESPONSE TO MOVING VISUAL STIMULI. Fractals. 29(8). 22 indexed citations
5.
Wang, Zhen, Ramesh Ramamoorthy, Xiaojian Xi, & Hamidreza Namazi. (2021). Synchronization of the neurons coupled with sequential developing electrical and chemical synapses. Mathematical Biosciences & Engineering. 19(2). 1877–1890. 22 indexed citations
6.
Mehrabbeik, Mahtab, Ramesh Ramamoorthy, Karthikeyan Rajagopal, et al.. (2021). Critical slowing down indicators in synchronous period-doubling for salamander flicker vision. The European Physical Journal Special Topics. 230(16-17). 3291–3298. 9 indexed citations
7.
Karami, Mahdi, et al.. (2021). Jagged-shape chaotic attractors of a megastable oscillator with spatially square-wave damping. The European Physical Journal Special Topics. 231(11-12). 2445–2454. 7 indexed citations
8.
9.
Ramesh, Geeta, Juan T. Borda, Jason Dufour, et al.. (2008). Interaction of the Lyme Disease Spirochete Borrelia burgdorferi with Brain Parenchyma Elicits Inflammatory Mediators from Glial Cells as Well as Glial and Neuronal Apoptosis. American Journal Of Pathology. 173(5). 1415–1427. 92 indexed citations
10.
Embers, Monica E., Ramesh Ramamoorthy, & Mario T. Philipp. (2004). Survival strategies of Borrelia burgdorferi, the etiologic agent of Lyme disease. Microbes and Infection. 6(3). 312–318. 63 indexed citations
11.
Indest, Karl J., Ramesh Ramamoorthy, Mario T. Philipp, Milton H. Saier, & Jorge Garcı́a-Lara. (2001). Transcriptional regulation in spirochetes of medical importance.. 159–169. 5 indexed citations
12.
Indest, Karl J., Ramesh Ramamoorthy, & Mario T. Philipp. (2000). Transcriptional regulation in spirochetes.. PubMed. 2(4). 473–81. 13 indexed citations
13.
Liang, Fang Ting, et al.. (1999). An Immunodominant Conserved Region Within the Variable Domain of VlsE, the Variable Surface Antigen of Borrelia burgdorferi. The Journal of Immunology. 163(10). 5566–5573. 108 indexed citations
14.
Bantar, Carlos, Karl J. Indest, Yan Gu, et al.. (1998). Borrelia burgdorferiEscape Mutants That Survive in the Presence of Antiserum to the OspA Vaccine Are Killed When Complement Is Also Present. Infection and Immunity. 66(6). 2540–2546. 10 indexed citations
15.
Ramamoorthy, Ramesh. (1996). 5′ sequences essential for trans-splicing of msp (gp63) RNAs in Leishmania chagasi. Molecular and Biochemical Parasitology. 77(1). 65–76. 18 indexed citations
16.
17.
Ramamoorthy, Ramesh, Kristin G. Swihart, James J. McCoy, Mary E. Wilson, & John E. Donelson. (1995). Intergenic Regions between Tandem gp63 Genes Influence the Differential Expression of gp63 RNAs in Leishmania chagasi Promastigotes. Journal of Biological Chemistry. 270(20). 12133–12139. 65 indexed citations
18.
Roberts, Sigrid C., et al.. (1993). Sequence diversity and organization of the msp gene family encoding gp63 of Leishmania chagasi. Molecular and Biochemical Parasitology. 62(2). 157–171. 59 indexed citations
19.
Ramamoorthy, Ramesh & Francis J. Schmidt. (1991). Transcript hairpin structures are not required for RNA polymerase pausing in the gene encoding the E. coli RNase P RNA, M1 RNA. FEBS Letters. 295(1-3). 227–229. 3 indexed citations
20.
Yadav, Dhananjay Kumar & Ramesh Ramamoorthy. (1991). Nonlinear Landing Gear Behavior at Touchdown. Journal of Dynamic Systems Measurement and Control. 113(4). 677–683. 20 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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