Nilanka Perera

22 papers receiving 351 citations

Peers

Nilanka Perera
Comparison fields: 5 of 81
  • Virology 40
  • Emergency Medicine 67
  • Pharmacology 50
  • Parasitology 28
  • Infectious Diseases 73
Replace Kailash Chandra Nayak with:
Kailash Chandra Nayak India
C. Benyajati Thailand
Ravikar Ralph India
Reza Avizeh Iran
Muhammad Hamza Nigeria
Julia Fischer Germany
Nichole Nusbacher United States
Mariana Gandini Brazil
C. J. Burrell Australia
T Haruta Japan
Nilanka Perera relative to Kailash Chandra Nayak India Kailash Chandra Nayak's profile →
Citations per field
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Kailash Chandra Nayak · 1×
Citations per year

Countries citing papers authored by Nilanka Perera

Since Specialization
Citations

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

Fields of papers citing papers by Nilanka Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nilanka Perera, 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 Nilanka Perera Line = papers co-authored together Nilanka Perera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199992
2 199959
3 201741
4 201630
5 201128
6 202117
7 201516
8 200416
9 200513
10 202212
11 201510
12 202110
13 20218
14 20127
15 20124
16 20223
17 20022
18 20241
19
Prevalence of lipid abnormalities in Sri Lankan patients with non-insulin dependent diabetes mellitus.
19941
20 20241

About Nilanka Perera

Nilanka Perera is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Parasitology and Nephrology, having authored 30 papers that have together received 373 indexed citations. Recurring topics across this work include Leptospirosis research and findings (4 papers), Mosquito-borne diseases and control (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Renal Diseases and Glomerulopathies (2 papers), Viral Infections and Vectors (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Vasculitis and related conditions (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Virology (40 citations), Emergency Medicine (67 citations), Pharmacology (50 citations), Parasitology (28 citations) and Infectious Diseases (73 citations). Nilanka Perera has collaborated with scholars based in Sri Lanka, United Kingdom and Australia. Frequent co-authors include Joanna L. Miller, Christeine A. Ariaratnam, Michael Eddleston, David A. Warrell, Nicole Zitzmann, M.H.R. Sheriff, R. J. Hay, R. Sheriff, R.D.G. Theakston and Lara Abulhoul. Their work appears in journals such as BMC Infectious Diseases, Virology Journal, Immunology, Antiviral Research and Journal of the European Academy of Dermatology and Venereology.

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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