B.C.J. De Silva

37 papers receiving 601 citations

Peers

B.C.J. De Silva
Comparison fields: 5 of 81
  • Endocrinology 111
  • Immunology 355
  • Molecular Medicine 86
  • Aquatic Science 81
  • Microbiology 61
Replace S.H.M.P. Wimalasena with:
S.H.M.P. Wimalasena South Korea
Roger Steele United States
José M. Rodríguez-Calleja Spain
Sunniva Hoel Norway
Toms C. Joseph India
Mai Ibrahem Egypt
Cristhiane Moura Falavina dos Reis Brazil
Mario Tello Chile
Nermeen M. Abu‐Elala Egypt
Mostafa Akhlaghi Iran
B.C.J. De Silva relative to S.H.M.P. Wimalasena South Korea S.H.M.P. Wimalasena's profile →
Citations per field
00.5×1.5×
S.H.M.P. Wimalasena · 1×
Citations per year

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-authors

The 13 scholars most cited alongside B.C.J. De Silva, 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 B.C.J. De Silva Line = papers co-authored together B.C.J. De Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201850
2 201747
3 201842
4 201837
5 201833
6 201932
7 201732
8 201925
9 201825
10 201823
11 201921
12 201821
13 201920
14 201819
15 201719
16
Comparison of virulence genes in Proteus species isolated from human and pet turtle.
201818
17 201917
18 201917
19 201916
20
Antibiotic Resistance and Virulence-Associated Gene Profiles of Edwardsiella tarda Isolated from Cultured Fish in Japan
201813

About B.C.J. De Silva

B.C.J. De Silva is a scholar working on Immunology, Food Science, Molecular Medicine, Endocrinology and Molecular Biology, having authored 37 papers that have together received 618 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (26 papers), Vibrio bacteria research studies (9 papers), Antibiotic Resistance in Bacteria (9 papers), Identification and Quantification in Food (7 papers), Essential Oils and Antimicrobial Activity (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Turtle Biology and Conservation (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Endocrinology (111 citations), Immunology (355 citations), Molecular Medicine (86 citations), Aquatic Science (81 citations) and Microbiology (61 citations). B.C.J. De Silva has collaborated with scholars based in South Korea, Japan and Sri Lanka. Frequent co-authors include Gang‐Joon Heo, Sabrina Hossain, S.H.M.P. Wimalasena, P.S. Dahanayake, Mahanama De Zoysa, Chamilani Nikapitiya, Jehee Lee, S.H.S. Dananjaya, Chulhong Oh and Gee‐Wook Shin. Their work appears in journals such as Letters in Applied Microbiology, Asian Journal of Animal and Veterinary Advances, Journal of Food Safety, Microbial Drug Resistance and Archives of Microbiology.

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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