Vanessa Pineda

37 total papers · 495 total citations
25 papers, 371 citations indexed

About

Vanessa Pineda is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Insect Science. According to data from OpenAlex, Vanessa Pineda has authored 25 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 16 papers in Public Health, Environmental and Occupational Health and 9 papers in Insect Science. Recurrent topics in Vanessa Pineda's work include Trypanosoma species research and implications (19 papers), Research on Leishmaniasis Studies (15 papers) and Insect symbiosis and bacterial influences (8 papers). Vanessa Pineda is often cited by papers focused on Trypanosoma species research and implications (19 papers), Research on Leishmaniasis Studies (15 papers) and Insect symbiosis and bacterial influences (8 papers). Vanessa Pineda collaborates with scholars based in Panama, United States and Japan. Vanessa Pineda's co-authors include Azäel Saldaña, José E. Calzada, Ana María Santamaría, Nicole L. Gottdenker, Kadir González, Luis Fernando Chaves, Franklyn Samudio, Michael J. Yabsley, Gregg S. Rapoport and Lorenzo Cáceres and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Emerging infectious diseases.

In The Last Decade

Vanessa Pineda

22 papers receiving 363 citations

Author Peers

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

Author Last Decade Papers Cites
Vanessa Pineda 266 208 145 124 58 25 371
Carolyn L. Hodo 297 1.1× 259 1.2× 108 0.7× 150 1.2× 68 1.2× 37 425
Kadir González 162 0.6× 217 1.0× 54 0.4× 96 0.8× 59 1.0× 25 334
Claudia Aliaga 228 0.9× 166 0.8× 158 1.1× 64 0.5× 60 1.0× 14 357
Jenny Ancca‐Juárez 258 1.0× 208 1.0× 151 1.0× 72 0.6× 43 0.7× 21 362
Louise Hamill 243 0.9× 126 0.6× 79 0.5× 91 0.7× 107 1.8× 16 354
André G. Costa-Martins 234 0.9× 167 0.8× 113 0.8× 72 0.6× 37 0.6× 29 350
C. M. R. Turner 283 1.1× 279 1.3× 99 0.7× 112 0.9× 23 0.4× 15 410
Laurent Penchenier 348 1.3× 288 1.4× 79 0.5× 159 1.3× 65 1.1× 26 426
Nachai Sarataphan 251 0.9× 182 0.9× 72 0.5× 193 1.6× 108 1.9× 21 415
H. Fraiha 234 0.9× 280 1.3× 85 0.6× 88 0.7× 37 0.6× 21 392

Countries citing papers authored by Vanessa Pineda

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Pineda

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