B.C.J. De Silva

43 total papers · 764 total citations
40 papers, 602 citations indexed

About

B.C.J. De Silva is a scholar working on Immunology, Molecular Medicine and Endocrinology. According to data from OpenAlex, B.C.J. De Silva has authored 40 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 10 papers in Molecular Medicine and 10 papers in Endocrinology. Recurrent topics in B.C.J. De Silva's work include Aquaculture disease management and microbiota (27 papers), Vibrio bacteria research studies (10 papers) and Antibiotic Resistance in Bacteria (10 papers). B.C.J. De Silva is often cited by papers focused on Aquaculture disease management and microbiota (27 papers), Vibrio bacteria research studies (10 papers) and Antibiotic Resistance in Bacteria (10 papers). B.C.J. De Silva collaborates with scholars based in South Korea, Australia and Japan. B.C.J. De Silva's co-authors include Gang‐Joon Heo, Sabrina Hossain, S.H.M.P. Wimalasena, P.S. Dahanayake, Mahanama De Zoysa, S.H.S. Dananjaya, Jehee Lee, Chamilani Nikapitiya, Chulhong Oh and Kirsten Benkendorff and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Applied Microbiology.

In The Last Decade

B.C.J. De Silva

40 papers receiving 585 citations

Author Peers

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

Author						Papers	Cites
B.C.J. De Silva	343	135	132	116	102	40	602
S.H.M.P. Wimalasena	296 0.9×	131 1.0×	113 0.9×	126 1.1×	81 0.8×	36	531
Isaac Olufemi Olatoye	219 0.6×	101 0.7×	117 0.9×	61 0.5×	52 0.5×	21	631
İzzet Burçin Satıcıoğlu	357 1.0×	45 0.3×	238 1.8×	138 1.2×	88 0.9×	70	581
Mehdi Raissy	320 0.9×	95 0.7×	90 0.7×	99 0.9×	103 1.0×	60	674
Manabu Furushita	167 0.5×	118 0.9×	267 2.0×	112 1.0×	93 0.9×	24	657
Sherif Marouf	153 0.4×	207 1.5×	81 0.6×	92 0.8×	54 0.5×	34	594
Roger Steele	323 0.9×	57 0.4×	177 1.3×	159 1.4×	120 1.2×	13	576
M. Habibur Rahman	323 0.9×	37 0.3×	96 0.7×	140 1.2×	88 0.9×	18	573
Agnieszka Pękala‐Safińska	394 1.1×	37 0.3×	158 1.2×	107 0.9×	96 0.9×	53	564
Jingwei Jiang	140 0.4×	71 0.5×	178 1.3×	148 1.3×	112 1.1×	29	623

Countries citing papers authored by B.C.J. De Silva

Since Specialization

Citations

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

Fields of papers citing papers by B.C.J. De Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.C.J. De Silva. 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 B.C.J. De Silva. The network helps show where B.C.J. De Silva may publish in the future.

Co-authorship network of co-authors of B.C.J. De Silva

This figure shows the co-authorship network connecting the top 25 collaborators of B.C.J. De Silva. A scholar is included among the top collaborators of B.C.J. De Silva 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 B.C.J. De Silva. B.C.J. De Silva 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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