P.S. Dahanayake

29 total papers · 537 total citations
27 papers, 438 citations indexed

About

P.S. Dahanayake is a scholar working on Immunology, Endocrinology and Pollution. According to data from OpenAlex, P.S. Dahanayake has authored 27 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 12 papers in Endocrinology and 8 papers in Pollution. Recurrent topics in P.S. Dahanayake's work include Aquaculture disease management and microbiota (24 papers), Vibrio bacteria research studies (12 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). P.S. Dahanayake is often cited by papers focused on Aquaculture disease management and microbiota (24 papers), Vibrio bacteria research studies (12 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). P.S. Dahanayake collaborates with scholars based in South Korea and New Zealand. P.S. Dahanayake's co-authors include Gang‐Joon Heo, Sabrina Hossain, B.C.J. De Silva, S.H.M.P. Wimalasena, Mahanama De Zoysa, Gee‐Wook Shin, Dae‐Won Lee, Shan Lakmal Edirisinghe, Chamilani Nikapitiya and Ilson Whang and has published in prestigious journals such as Molecules, Journal of Applied Microbiology and Archives of Microbiology.

In The Last Decade

P.S. Dahanayake

27 papers receiving 430 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
P.S. Dahanayake 310 176 114 100 96 27 438
Ségolène Calvez 249 0.8× 99 0.6× 79 0.7× 55 0.6× 47 0.5× 28 432
Ângela Corrêa de Freitas-Almeida 220 0.7× 173 1.0× 114 1.0× 84 0.8× 34 0.4× 21 422
Marta Piotrowska 198 0.6× 96 0.5× 97 0.9× 100 1.0× 154 1.6× 14 449
Từ Thanh Dung 297 1.0× 111 0.6× 74 0.6× 72 0.7× 56 0.6× 31 384
G. Vivekanandhan 244 0.8× 116 0.7× 106 0.9× 61 0.6× 78 0.8× 15 370
Furqan Awan 211 0.7× 149 0.8× 120 1.1× 81 0.8× 38 0.4× 30 454
Carmelo S. del Castillo 265 0.9× 59 0.3× 118 1.0× 86 0.9× 31 0.3× 21 409
Isao Tsutsui 213 0.7× 129 0.7× 75 0.7× 74 0.7× 29 0.3× 16 372
Juan M. Tomás 242 0.8× 202 1.1× 186 1.6× 144 1.4× 11 0.1× 19 474
Noemí Buján 384 1.2× 162 0.9× 204 1.8× 109 1.1× 17 0.2× 14 489

Countries citing papers authored by P.S. Dahanayake

Since Specialization
Citations

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

Fields of papers citing papers by P.S. Dahanayake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.S. Dahanayake. 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 P.S. Dahanayake. The network helps show where P.S. Dahanayake may publish in the future.

Co-authorship network of co-authors of P.S. Dahanayake

This figure shows the co-authorship network connecting the top 25 collaborators of P.S. Dahanayake. A scholar is included among the top collaborators of P.S. Dahanayake 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 P.S. Dahanayake. P.S. Dahanayake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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