Shalini Muniandy

10 total papers · 711 total citations
10 papers, 549 citations indexed

About

Shalini Muniandy is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Shalini Muniandy has authored 10 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Molecular Biology and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Shalini Muniandy's work include Advanced biosensing and bioanalysis techniques (7 papers), Biosensors and Analytical Detection (6 papers) and Electrochemical sensors and biosensors (4 papers). Shalini Muniandy is often cited by papers focused on Advanced biosensing and bioanalysis techniques (7 papers), Biosensors and Analytical Detection (6 papers) and Electrochemical sensors and biosensors (4 papers). Shalini Muniandy collaborates with scholars based in Malaysia, United States and Serbia. Shalini Muniandy's co-authors include Bey Fen Leo, Kwai Lin Thong, Fatimah Ibrahim, Swe Jyan Teh, Ignatius Julian Dinshaw, Jimmy Nelson Appaturi, Aung Thiha, Chin Wei Lai, Thiruchelvi Pulingam and Noraini Ahmad and has published in prestigious journals such as Analytical Biochemistry, Biosensors and Bioelectronics and Analytical and Bioanalytical Chemistry.

In The Last Decade

Shalini Muniandy

10 papers receiving 541 citations

Author Peers

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

Author						Papers	Cites
Shalini Muniandy	409	389	121	112	84	10	549
Elham Sheikhzadeh	278 0.7×	255 0.7×	59 0.5×	141 1.3×	69 0.8×	12	580
Li‐Kai Lin	399 1.0×	315 0.8×	67 0.6×	92 0.8×	70 0.8×	16	539
Ignatius Julian Dinshaw	358 0.9×	229 0.6×	73 0.6×	62 0.6×	151 1.8×	9	491
Anabel Lermo	339 0.8×	377 1.0×	123 1.0×	58 0.5×	43 0.5×	11	527
Lakshmi N. Cella	261 0.6×	374 1.0×	184 1.5×	53 0.5×	153 1.8×	10	565
Marisa Maltez‐da Costa	364 0.9×	427 1.1×	150 1.2×	56 0.5×	97 1.2×	10	618
Ayman Ali Saeed	227 0.6×	257 0.7×	158 1.3×	41 0.4×	96 1.1×	11	452
Bruno P. Crulhas	249 0.6×	350 0.9×	99 0.8×	37 0.3×	66 0.8×	25	564
Geetesh K. Mishra	336 0.8×	405 1.0×	162 1.3×	35 0.3×	81 1.0×	15	605
Munish Shorie	310 0.8×	323 0.8×	229 1.9×	44 0.4×	157 1.9×	12	566

Countries citing papers authored by Shalini Muniandy

Since Specialization

Citations

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

Fields of papers citing papers by Shalini Muniandy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shalini Muniandy. 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 Shalini Muniandy. The network helps show where Shalini Muniandy may publish in the future.

Co-authorship network of co-authors of Shalini Muniandy

This figure shows the co-authorship network connecting the top 25 collaborators of Shalini Muniandy. A scholar is included among the top collaborators of Shalini Muniandy 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 Shalini Muniandy. Shalini Muniandy 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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