Diana Mora-Obando

20 total papers · 597 total citations
18 papers, 457 citations indexed

About

Diana Mora-Obando is a scholar working on Genetics, Virology and Paleontology. According to data from OpenAlex, Diana Mora-Obando has authored 18 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 12 papers in Virology and 6 papers in Paleontology. Recurrent topics in Diana Mora-Obando's work include Venomous Animal Envenomation and Studies (13 papers), Rabies epidemiology and control (12 papers) and Marine Invertebrate Physiology and Ecology (6 papers). Diana Mora-Obando is often cited by papers focused on Venomous Animal Envenomation and Studies (13 papers), Rabies epidemiology and control (12 papers) and Marine Invertebrate Physiology and Ecology (6 papers). Diana Mora-Obando collaborates with scholars based in Colombia, Costa Rica and Spain. Diana Mora-Obando's co-authors include Bruno Lomonte, José Marı́a Gutiérrez, Juan J. Calvete, Julián Fernández, Cesare Montecucco, H. Lisle Gibbs, Jimmy Alexander Guerrero-Vargas, Líbia Sanz, Davinia Plá and Elda E. Sánchez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS neglected tropical diseases.

In The Last Decade

Diana Mora-Obando

17 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Diana Mora-Obando 424 249 190 159 52 18 457
Milene C. Menezes 456 1.1× 286 1.1× 240 1.3× 119 0.7× 70 1.3× 24 526
José A. Portes-Junior 489 1.2× 288 1.2× 203 1.1× 148 0.9× 92 1.8× 18 534
Carolina Alves Nicolau 405 1.0× 276 1.1× 179 0.9× 127 0.8× 68 1.3× 11 486
Nicholas J. Youngman 427 1.0× 231 0.9× 172 0.9× 207 1.3× 54 1.0× 22 447
Karen de Morais-Zani 423 1.0× 272 1.1× 160 0.8× 156 1.0× 65 1.3× 40 509
Tun-Pe 445 1.0× 272 1.1× 113 0.6× 146 0.9× 36 0.7× 14 462
Leijiane F. Sousa 494 1.2× 370 1.5× 96 0.5× 199 1.3× 106 2.0× 13 509
Pedro Pereira de Oliveira Pardal 463 1.1× 275 1.1× 115 0.6× 133 0.8× 48 0.9× 41 505
Carla Cristine Neves Mamede 446 1.1× 215 0.9× 223 1.2× 111 0.7× 19 0.4× 27 519
Montamas Suntravat 362 0.9× 143 0.6× 234 1.2× 83 0.5× 23 0.4× 36 454

Countries citing papers authored by Diana Mora-Obando

Since Specialization
Citations

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

Fields of papers citing papers by Diana Mora-Obando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Mora-Obando

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