Ramesh Ramamoorthy

42 papers receiving 1.1k citations

Peers

Ramesh Ramamoorthy
Comparison fields: 5 of 91
  • Parasitology 568
  • Infectious Diseases 361
  • Insect Science 200
  • Public Health, Environmental and Occupational Health 338
  • Statistical and Nonlinear Physics 110
Replace Peter Hagedorn with:
Peter Hagedorn Denmark
Shigeru Tajima Japan
Xiaoyan Gao China
Kenichi Kaneko Japan
A.J. Robinson New Zealand
Joseph A. Jackson United Kingdom
Shahid Karim United States
P. K. Rajagopalan India
Akira Arakawa Japan
Juan José Ramos Antón Spain
Ramesh Ramamoorthy relative to Peter Hagedorn Denmark Peter Hagedorn's profile →
Citations per field
00.5×2.9×
Peter Hagedorn · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ramesh Ramamoorthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramesh Ramamoorthy Line = papers co-authored together Ramesh Ramamoorthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992111
2 1999108
3 200892
4 199781
5 199877
6 200167
7 202266
8 199565
9 200463
10 199359
11 199351
12 199634
13 202122
14 202122
15 202221
16 198921
17 200821
18 199120
19 199618
20 200517

About Ramesh Ramamoorthy

Ramesh Ramamoorthy is a scholar working on Parasitology, Statistical and Nonlinear Physics, Computer Networks and Communications, Infectious Diseases and Molecular Biology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (12 papers), Nonlinear Dynamics and Pattern Formation (9 papers), stochastic dynamics and bifurcation (8 papers), Neural dynamics and brain function (7 papers), Research on Leishmaniasis Studies (6 papers), Viral Infections and Vectors (6 papers), Trypanosoma species research and implications (5 papers) and Vector-Borne Animal Diseases (5 papers). The work is most often cited by research in Parasitology (568 citations), Infectious Diseases (361 citations), Insect Science (200 citations), Public Health, Environmental and Occupational Health (338 citations) and Statistical and Nonlinear Physics (110 citations). Ramesh Ramamoorthy has collaborated with scholars based in United States, India and Iran. Frequent co-authors include Mario T. Philipp, Mary E. Wilson, J E Donelson, Sigrid C. Roberts, Karthikeyan Rajagopal, Kristin G. Swihart, John E. Donelson, Hamidreza Namazi, Monica E. Embers and Karl J. Indest. Their work appears in journals such as Infection and Immunity, Journal of Biological Chemistry, The European Physical Journal Special Topics, Chaos Solitons & Fractals and Molecular and Biochemical Parasitology.

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.

Explore authors with similar magnitude of impact