Jairo Salcedo

77 total papers · 424 total citations
51 papers, 298 citations indexed

About

Jairo Salcedo is a scholar working on Food Science, Nutrition and Dietetics and Plant Science. According to data from OpenAlex, Jairo Salcedo has authored 51 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Food Science, 21 papers in Nutrition and Dietetics and 21 papers in Plant Science. Recurrent topics in Jairo Salcedo's work include Food composition and properties (19 papers), Cassava research and cyanide (16 papers) and Polysaccharides Composition and Applications (13 papers). Jairo Salcedo is often cited by papers focused on Food composition and properties (19 papers), Cassava research and cyanide (16 papers) and Polysaccharides Composition and Applications (13 papers). Jairo Salcedo collaborates with scholars based in Colombia, United States and Belgium. Jairo Salcedo's co-authors include Ricardo Andrade-Pizarro, Jorge Eduardo Pérez Pérez, Eduardo Rodríguez‐Sandoval, Héctor José Ciro Velásquez, Carmen Pérez-Cervera, Edith M. Cadena, Joseph P. Fiorellini, María Kozhevnikov, David W. Schloerb and H. P. WEBER and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Environmental Science and Pollution Research.

In The Last Decade

Jairo Salcedo

46 papers receiving 284 citations

Author Peers

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

Author Last Decade Papers Cites
Jairo Salcedo 140 111 76 58 49 51 298
Julianna Gyura 116 0.8× 89 0.8× 61 0.8× 75 1.3× 37 0.8× 29 319
Layal Dahdouh 152 1.1× 92 0.8× 97 1.3× 44 0.8× 40 0.8× 24 307
Hiram Medrano-Roldán 131 0.9× 81 0.7× 77 1.0× 55 0.9× 40 0.8× 54 351
Obiro Cuthbert Wokadala 126 0.9× 142 1.3× 63 0.8× 23 0.4× 101 2.1× 24 307
C. Nickhil 113 0.8× 101 0.9× 102 1.3× 52 0.9× 22 0.4× 33 365
Run‐Yang Zhang 137 1.0× 77 0.7× 121 1.6× 47 0.8× 32 0.7× 23 277
Lokesh Kumar Meena 93 0.7× 63 0.6× 73 1.0× 16 0.3× 20 0.4× 56 278
S. Karthikeyan 77 0.6× 41 0.4× 98 1.3× 22 0.4× 105 2.1× 19 292
Jean-Michel Méot 177 1.3× 63 0.6× 142 1.9× 25 0.4× 15 0.3× 29 329
Teguh Wahyono 94 0.7× 35 0.3× 53 0.7× 31 0.5× 36 0.7× 71 296

Countries citing papers authored by Jairo Salcedo

Since Specialization
Citations

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

Fields of papers citing papers by Jairo Salcedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jairo Salcedo

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