Jorge Doña

1.3k citations
41 papers · 811 · h-index 15

Impact in

Papers in

Jorge Doña

40 papers receiving 803 citations

Peers

Jorge Doña
Comparison fields: 5 of 65
  • Parasitology 335
  • Ecological Modeling 82
  • Ecology, Evolution, Behavior and Systematics 350
  • Ecology 344
  • Insect Science 151
Replace C. Miguel Pinto with:
C. Miguel Pinto Ecuador
Tsukushi Kamiya Canada
Anna J. Phillips United States
Donald Gettinger United States
Charlotte E. Causton Ecuador
Ania A. Majewska United States
Andrew D. Sweet United States
Maaike A. Versteegh Netherlands
Stephen E. Greiman United States
Olivier Glaizot Switzerland
Jorge Doña relative to C. Miguel Pinto Ecuador C. Miguel Pinto's profile →
Citations per field
00.5×1.5×2.3×
C. Miguel Pinto · 1×
Citations per year

Countries citing papers authored by Jorge Doña

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Doña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jorge Doña, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jorge Doña Line = papers co-authored together Jorge Doña links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017173
2 2020127
3 201554
4 201848
5 201747
6 201735
7 201734
8 201632
9 201731
10 202121
11 201818
12 202018
13 202217
14 202016
15 201514
16 201911
17 201810
18 20189
19 20219
20 20188

About Jorge Doña

Jorge Doña is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics, Ecology, Genetics and Insect Science, having authored 41 papers that have together received 811 indexed citations. Recurring topics across this work include Bird parasitology and diseases (22 papers), Study of Mite Species (17 papers), Insect symbiosis and bacterial influences (8 papers), Vector-borne infectious diseases (7 papers), Genetic diversity and population structure (6 papers), Animal Behavior and Reproduction (6 papers), Plant and animal studies (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Parasitology (335 citations), Ecological Modeling (82 citations), Ecology, Evolution, Behavior and Systematics (350 citations), Ecology (344 citations) and Insect Science (151 citations). Jorge Doña has collaborated with scholars based in Spain, United States and Russia. Frequent co-authors include Roger Jovani, David Serrano, Sergey V. Mironov, Kevin P. Johnson, H. C. Proctor, Colin J. Carlson, Stephanie S. Godfrey, Skylar Hopkins, Mackenzie L. Kwak and Chelsea L. Wood. Their work appears in journals such as Molecular Phylogenetics and Evolution, Scientific Reports, Ecology, Proceedings of the Royal Society B Biological Sciences and Experimental and Applied Acarology.

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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