P.H.P. Prasanna

31 total papers · 951 total citations
18 papers, 738 citations indexed

About

P.H.P. Prasanna is a scholar working on Food Science, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, P.H.P. Prasanna has authored 18 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 10 papers in Nutrition and Dietetics and 5 papers in Molecular Biology. Recurrent topics in P.H.P. Prasanna's work include Probiotics and Fermented Foods (12 papers), Microbial Metabolites in Food Biotechnology (8 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). P.H.P. Prasanna is often cited by papers focused on Probiotics and Fermented Foods (12 papers), Microbial Metabolites in Food Biotechnology (8 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). P.H.P. Prasanna collaborates with scholars based in Sri Lanka, United Kingdom and Australia. P.H.P. Prasanna's co-authors include Alistair S. Grandison, Dimitris Charalampopoulos, Dimitrios Charalampopoulos, J. K. Vidanarachchi, A. Chandrasekara, Alan Bell, Chaminda Senaka Ranadheera, N.W.I.A. Jayawardana, Hasitha Priyashantha and Anila Kumari and has published in prestigious journals such as Carbohydrate Polymers, Food Research International and LWT.

In The Last Decade

P.H.P. Prasanna

18 papers receiving 720 citations

Author Peers

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

Author						Papers	Cites
P.H.P. Prasanna	592	339	245	133	85	18	738
Stella Lisa Lonigro	631 1.1×	329 1.0×	296 1.2×	180 1.4×	89 1.0×	33	888
Whyara Karoline Almeida da Costa	504 0.9×	273 0.8×	326 1.3×	72 0.5×	63 0.7×	23	770
Raphael D. Ayivi	510 0.9×	211 0.6×	326 1.3×	134 1.0×	67 0.8×	17	804
Ehab Romeih	640 1.1×	258 0.8×	290 1.2×	88 0.7×	173 2.0×	24	900
Adriane Elisabete Costa Antunes	617 1.0×	356 1.1×	196 0.8×	115 0.9×	85 1.0×	31	897
Swati Sethi	576 1.0×	323 1.0×	137 0.6×	196 1.5×	88 1.0×	14	879
Douglas W. Olson	493 0.8×	244 0.7×	229 0.9×	92 0.7×	107 1.3×	22	649
Hafiz Arbab Sakandar	512 0.9×	284 0.8×	401 1.6×	108 0.8×	51 0.6×	34	857
Milada Plocková	516 0.9×	218 0.6×	317 1.3×	121 0.9×	90 1.1×	39	749
Janneke Treimo	492 0.8×	336 1.0×	287 1.2×	97 0.7×	99 1.2×	13	785

Countries citing papers authored by P.H.P. Prasanna

Since Specialization

Citations

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

Fields of papers citing papers by P.H.P. Prasanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.H.P. Prasanna

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