R G Wickremasinghe

34 total papers · 666 total citations
25 papers, 536 citations indexed

About

R G Wickremasinghe is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, R G Wickremasinghe has authored 25 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Genetics. Recurrent topics in R G Wickremasinghe's work include Chronic Lymphocytic Leukemia Research (8 papers), Retinoids in leukemia and cellular processes (3 papers) and Biochemical and Molecular Research (3 papers). R G Wickremasinghe is often cited by papers focused on Chronic Lymphocytic Leukemia Research (8 papers), Retinoids in leukemia and cellular processes (3 papers) and Biochemical and Molecular Research (3 papers). R G Wickremasinghe collaborates with scholars based in United Kingdom and United States. R G Wickremasinghe's co-authors include A. V. Hoffbrand, Mohammad Taheri‬, Andrew J. Steele, A. G. Prentice, K. Ganeshaguru, Atul Mehta, A. V. Hoffbrand, A. Victor Hoffbrand, Masood Khan and G. E. Francis and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

R G Wickremasinghe

25 papers receiving 506 citations

Author Peers

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

Author						Papers	Cites
R G Wickremasinghe	298	109	92	81	75	25	536
Rosane Gomes de Paula Queiróz	274 0.9×	104 1.0×	136 1.5×	52 0.6×	30 0.4×	36	488
HJ Radzun	209 0.7×	83 0.8×	146 1.6×	103 1.3×	37 0.5×	21	558
Marisa Pautasso	264 0.9×	187 1.7×	100 1.1×	261 3.2×	33 0.4×	35	583
Claudia Gemelli	289 1.0×	43 0.4×	114 1.2×	68 0.8×	31 0.4×	24	560
Daniela Di Marcantonio	412 1.4×	47 0.4×	148 1.6×	84 1.0×	23 0.3×	29	562
Florian Perner	285 1.0×	123 1.1×	63 0.7×	233 2.9×	38 0.5×	25	452
J.P. Salier	259 0.9×	68 0.6×	36 0.4×	138 1.7×	44 0.6×	30	538
Aglair B. Garcia	210 0.7×	46 0.4×	144 1.6×	189 2.3×	32 0.4×	30	542
Angelo B. A. Laranjeira	321 1.1×	99 0.9×	138 1.5×	167 2.1×	16 0.2×	34	603
Ashwini Yenamandra	361 1.2×	45 0.4×	107 1.2×	99 1.2×	18 0.2×	21	517

Countries citing papers authored by R G Wickremasinghe

Since Specialization

Citations

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

Fields of papers citing papers by R G Wickremasinghe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R G Wickremasinghe. 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 R G Wickremasinghe. The network helps show where R G Wickremasinghe may publish in the future.

Co-authorship network of co-authors of R G Wickremasinghe

This figure shows the co-authorship network connecting the top 25 collaborators of R G Wickremasinghe. A scholar is included among the top collaborators of R G Wickremasinghe 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 R G Wickremasinghe. R G Wickremasinghe 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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