S.H.M.P. Wimalasena

42 total papers · 668 total citations
36 papers, 531 citations indexed

About

S.H.M.P. Wimalasena is a scholar working on Immunology, Molecular Medicine and Endocrinology. According to data from OpenAlex, S.H.M.P. Wimalasena has authored 36 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 10 papers in Molecular Medicine and 10 papers in Endocrinology. Recurrent topics in S.H.M.P. Wimalasena's work include Aquaculture disease management and microbiota (23 papers), Antibiotic Resistance in Bacteria (10 papers) and Vibrio bacteria research studies (9 papers). S.H.M.P. Wimalasena is often cited by papers focused on Aquaculture disease management and microbiota (23 papers), Antibiotic Resistance in Bacteria (10 papers) and Vibrio bacteria research studies (9 papers). S.H.M.P. Wimalasena collaborates with scholars based in South Korea, Japan and United States. S.H.M.P. Wimalasena's co-authors include Gang‐Joon Heo, Sabrina Hossain, B.C.J. De Silva, P.S. Dahanayake, Mahanama De Zoysa, Jehee Lee, Chamilani Nikapitiya, Charith U. B. Wijerathne, S.H.S. Dananjaya and Gee‐Wook Shin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Aquaculture and Journal of Applied Microbiology.

In The Last Decade

S.H.M.P. Wimalasena

34 papers receiving 515 citations

Author Peers

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

Author						Papers	Cites
S.H.M.P. Wimalasena	296	131	126	113	82	36	531
B.C.J. De Silva	343 1.2×	135 1.0×	116 0.9×	132 1.2×	89 1.1×	40	602
Sherif Marouf	153 0.5×	207 1.6×	92 0.7×	81 0.7×	51 0.6×	34	594
Toms C. Joseph	200 0.7×	115 0.9×	155 1.2×	193 1.7×	36 0.4×	50	531
Michał Stosik	241 0.8×	57 0.4×	125 1.0×	72 0.6×	95 1.2×	50	558
Dália P. Rodrigues	200 0.7×	268 2.0×	180 1.4×	84 0.7×	110 1.3×	37	560
Norma Suely Evangelista-Barreto	136 0.5×	224 1.7×	111 0.9×	110 1.0×	42 0.5×	69	564
H. Daskalov	227 0.8×	128 1.0×	91 0.7×	129 1.1×	15 0.2×	40	582
Agnieszka Pękala‐Safińska	394 1.3×	37 0.3×	107 0.8×	158 1.4×	37 0.5×	53	564
Col Rodgers	333 1.1×	32 0.2×	112 0.9×	78 0.7×	46 0.6×	34	512
Roger Steele	323 1.1×	57 0.4×	159 1.3×	177 1.6×	127 1.5×	13	576

Countries citing papers authored by S.H.M.P. Wimalasena

Since Specialization

Citations

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

Fields of papers citing papers by S.H.M.P. Wimalasena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.H.M.P. Wimalasena

This figure shows the co-authorship network connecting the top 25 collaborators of S.H.M.P. Wimalasena. A scholar is included among the top collaborators of S.H.M.P. Wimalasena 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 S.H.M.P. Wimalasena. S.H.M.P. Wimalasena 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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