Diana Echeverry

43 total papers · 461 total citations
24 papers, 326 citations indexed

About

Diana Echeverry is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Diana Echeverry has authored 24 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Genetics. Recurrent topics in Diana Echeverry's work include Vector-borne infectious diseases (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Mesenchymal stem cell research (3 papers). Diana Echeverry is often cited by papers focused on Vector-borne infectious diseases (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Mesenchymal stem cell research (3 papers). Diana Echeverry collaborates with scholars based in Chile, United States and Colombia. Diana Echeverry's co-authors include Mayer B. Davidson, Petra Durán, Abbasi J. Akhtar, Senait Teklehaimanot, Magda Shaheen, Martin Lee, C. Aguilera, L. Rodríguez-Álvarez, Fidel Ovídio Castro and Carlos Landaeta‐Aqueveque and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and The American Journal of Gastroenterology.

In The Last Decade

Diana Echeverry

22 papers receiving 307 citations

Author Peers

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

Author						Papers	Cites
Diana Echeverry	127	116	76	54	35	24	326
Ivana Grgić	210 1.7×	66 0.6×	69 0.9×	42 0.8×	40 1.1×	21	352
Athena McConnell	128 1.0×	30 0.3×	13 0.2×	21 0.4×	72 2.1×	22	366
Claudia Ojeda‐Granados	115 0.9×	60 0.5×	62 0.8×	49 0.9×	47 1.3×	25	284
Lynsey Corless	111 0.9×	39 0.3×	99 1.3×	46 0.9×	34 1.0×	23	281
Mohammad‐Sadegh Fallah	34 0.3×	54 0.5×	8 0.1×	53 1.0×	57 1.6×	25	342
Hanaa El-Karaksy	258 2.0×	23 0.2×	130 1.7×	11 0.2×	10 0.3×	21	317
Samuel George Hansdak	113 0.9×	14 0.1×	43 0.6×	46 0.9×	31 0.9×	35	358
Nitin Verma	113 0.9×	59 0.5×	12 0.2×	64 1.2×	25 0.7×	38	339
Adhara Lazaro	85 0.7×	20 0.2×	52 0.7×	189 3.5×	17 0.5×	16	341
Solomon A. Sowah	54 0.4×	42 0.4×	6 0.1×	40 0.7×	47 1.3×	18	231

Countries citing papers authored by Diana Echeverry

Since Specialization

Citations

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

Fields of papers citing papers by Diana Echeverry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Echeverry

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