Nilanka Perera

23 papers receiving 350 citations

Peers

Nilanka Perera
Comparison fields: 5 of 79
  • Virology 36
  • Emergency Medicine 61
  • Pharmacology 43
  • Parasitology 30
  • Infectious Diseases 49
Replace Kailash Chandra Nayak with:
Kailash Chandra Nayak India
Mohammad Robed Amin Bangladesh
Ravikar Ralph India
C. Benyajati Thailand
Seema Bhalchandra United States
Hirotsugu Miyoshi Japan
Michael Hing Australia
Chad Duffalo United States
Mariana Gandini Brazil
Thomas J. Kakuk United States
Nilanka Perera relative to Kailash Chandra Nayak India Kailash Chandra Nayak's profile →
Citations per field
00.5×6.8×
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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199997
2 199959
3 201742
4 201631
5 201128
6 202118
7 201516
8 202215
9 200513
10 202111
11 201510
12 20218
13 20127
14 20243
15 20223
16 20242
17 20242
18 20022
19 20141
20
Prevalence of lipid abnormalities in Sri Lankan patients with non-insulin dependent diabetes mellitus.
19941

About Nilanka Perera

Nilanka Perera is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Parasitology, Infectious Diseases and Virology, having authored 31 papers that have together received 372 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (5 papers), Leptospirosis research and findings (5 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Management and Research (1 paper), Global Health and Surgery (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Virology (36 citations), Emergency Medicine (61 citations), Pharmacology (43 citations), Parasitology (30 citations) and Infectious Diseases (49 citations). Nilanka Perera has collaborated with scholars based in Sri Lanka, United Kingdom and Australia. Frequent co-authors include Michael Eddleston, Joanna L. Miller, David A. Warrell, Christeine A. Ariaratnam, Nicole Zitzmann, M.H.R. Sheriff, R. J. Hay, R. Sheriff, R.D.G. Theakston and Jennifer L. Wilkinson‐Berka. Their work appears in journals such as BMC Infectious Diseases, BMC Cardiovascular Disorders, Journal of the European Academy of Dermatology and Venereology, Cellular Microbiology and American Journal of Tropical Medicine and Hygiene.

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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