Leela Rakesh

84 total papers · 480 total citations
32 papers, 385 citations indexed

About

Leela Rakesh is a scholar working on Organic Chemistry, Food Science and Biomaterials. According to data from OpenAlex, Leela Rakesh has authored 32 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 8 papers in Food Science and 6 papers in Biomaterials. Recurrent topics in Leela Rakesh's work include Polysaccharides Composition and Applications (6 papers), Surfactants and Colloidal Systems (5 papers) and Proteins in Food Systems (4 papers). Leela Rakesh is often cited by papers focused on Polysaccharides Composition and Applications (6 papers), Surfactants and Colloidal Systems (5 papers) and Proteins in Food Systems (4 papers). Leela Rakesh collaborates with scholars based in United States, India and Canada. Leela Rakesh's co-authors include Marc L. Mansfield, Donald A. Tomalia, Kwanho Chang, Prasanna K. Jog, Valeriy V. Ginzburg, Anja Mueller, Shahul Hamid Khan, Saber Elaydi, G. Prabhaharan and Jin Zhao and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Carbohydrate Polymers.

In The Last Decade

Leela Rakesh

31 papers receiving 358 citations

Author Peers

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

Author Last Decade Papers Cites
Leela Rakesh 104 101 58 49 48 32 385
Fang He 81 0.8× 75 0.7× 45 0.8× 52 1.1× 24 0.5× 70 338
Sergio De Luca 66 0.6× 59 0.6× 50 0.9× 131 2.7× 21 0.4× 16 404
Husheng Yang 112 1.1× 31 0.3× 23 0.4× 71 1.4× 40 0.8× 32 438
Jiaxin Wu 161 1.5× 47 0.5× 46 0.8× 67 1.4× 43 0.9× 33 420
István Budai 120 1.2× 25 0.2× 23 0.4× 43 0.9× 10 0.2× 36 386
Cengiz Birlikseven 51 0.5× 51 0.5× 97 1.7× 95 1.9× 21 0.4× 17 365
Xiao Yu Li 72 0.7× 87 0.9× 19 0.3× 73 1.5× 23 0.5× 48 347
E.R. Macías 99 1.0× 217 2.1× 75 1.3× 55 1.1× 40 0.8× 39 402
Alejandro González‐Álvarez 46 0.4× 90 0.9× 94 1.6× 76 1.6× 34 0.7× 28 343
Qianjie Zhang 84 0.8× 71 0.7× 38 0.7× 48 1.0× 16 0.3× 46 353

Countries citing papers authored by Leela Rakesh

Since Specialization
Citations

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

Fields of papers citing papers by Leela Rakesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leela Rakesh

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