Rabban Mangat

49 total papers · 534 total citations
28 papers, 413 citations indexed

About

Rabban Mangat is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Rabban Mangat has authored 28 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 9 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Epidemiology. Recurrent topics in Rabban Mangat's work include Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Rabban Mangat is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Rabban Mangat collaborates with scholars based in Canada, United States and Australia. Rabban Mangat's co-authors include Spencer D. Proctor, Donna F. Vine, Faye Borthwick, James C. Russell, Richard R. E. Uwiera, Abdoulaye Diané, Samantha Warnakula, Jianheng Shen, Paramjit S. Tappia and Martin J. T. Reaney and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Journal of Lipid Research.

In The Last Decade

Rabban Mangat

28 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
Rabban Mangat 128 109 102 101 88 28 413
Faye Borthwick 88 0.7× 129 1.2× 79 0.8× 94 0.9× 53 0.6× 21 451
T. Olivecrona 93 0.7× 76 0.7× 141 1.4× 151 1.5× 58 0.7× 24 408
Waleska Dornas 115 0.9× 108 1.0× 152 1.5× 69 0.7× 142 1.6× 20 482
Ehsan Alvandi 117 0.9× 131 1.2× 77 0.8× 100 1.0× 67 0.8× 30 414
Jean‐François Mauger 134 1.0× 80 0.7× 113 1.1× 137 1.4× 37 0.4× 25 437
M. F. Zafra 99 0.8× 162 1.5× 48 0.5× 106 1.0× 127 1.4× 30 478
Arif Ul Hasan 112 0.9× 149 1.4× 64 0.6× 44 0.4× 66 0.8× 30 399
Sabela Díaz-Castroverde 149 1.2× 135 1.2× 57 0.6× 65 0.6× 107 1.2× 12 449
Roberta Marcondes Machado 112 0.9× 134 1.2× 111 1.1× 118 1.2× 126 1.4× 11 458
Mohsen Firoozrai 95 0.7× 65 0.6× 118 1.2× 64 0.6× 40 0.5× 42 423

Countries citing papers authored by Rabban Mangat

Since Specialization
Citations

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

Fields of papers citing papers by Rabban Mangat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rabban Mangat

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