Débora B. Lima

612 total citations
52 papers, 459 citations indexed

About

Débora B. Lima is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Débora B. Lima has authored 52 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Insect Science, 32 papers in Plant Science and 16 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Débora B. Lima's work include Insect-Plant Interactions and Control (48 papers), Insect and Pesticide Research (34 papers) and Insect Pest Control Strategies (23 papers). Débora B. Lima is often cited by papers focused on Insect-Plant Interactions and Control (48 papers), Insect and Pesticide Research (34 papers) and Insect Pest Control Strategies (23 papers). Débora B. Lima collaborates with scholars based in Brazil, Netherlands and United States. Débora B. Lima's co-authors include José W. S. Melo, Manoel G. C. Gondim, Ângelo Pallini, R. N. C. Guedes, Herbert A.A. Siqueira, Gilberto J. de Morães, Maurice W. Sabelis, N. M. P. Guedes, Lessando M. Gontijo and Solange Maria de França and has published in prestigious journals such as PLoS ONE, Pest Management Science and Biological Invasions.

In The Last Decade

Débora B. Lima

46 papers receiving 458 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Débora B. Lima Brazil 14 420 298 113 49 23 52 459
Mahmut Doğramacı United States 11 313 0.7× 264 0.9× 111 1.0× 88 1.8× 24 1.0× 23 394
Cengiz Kazak Türkiye 13 489 1.2× 226 0.8× 214 1.9× 76 1.6× 17 0.7× 74 519
Khaled Abbes Tunisia 13 437 1.0× 307 1.0× 87 0.8× 130 2.7× 39 1.7× 41 501
M. Knapp Kenya 13 463 1.1× 290 1.0× 133 1.2× 103 2.1× 31 1.3× 20 492
Patricia C. Pereyra Argentina 8 335 0.8× 244 0.8× 127 1.1× 110 2.2× 27 1.2× 17 404
Ézio Marques da Silva Brazil 12 284 0.7× 237 0.8× 50 0.4× 113 2.3× 20 0.9× 28 348
Ibrahim Al‐Jboory Iraq 6 294 0.7× 224 0.8× 90 0.8× 98 2.0× 34 1.5× 16 361
Susumu Tokumaru Japan 12 244 0.6× 145 0.5× 112 1.0× 68 1.4× 24 1.0× 36 313
Vicente Santiago Marco Mancebón Spain 12 305 0.7× 204 0.7× 100 0.9× 109 2.2× 50 2.2× 29 366
Rose N. Kigathi Germany 5 152 0.4× 161 0.5× 135 1.2× 32 0.7× 25 1.1× 7 262

Countries citing papers authored by Débora B. Lima

Since Specialization
Citations

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

Fields of papers citing papers by Débora B. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Débora B. Lima. 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 Débora B. Lima. The network helps show where Débora B. Lima may publish in the future.

Co-authorship network of co-authors of Débora B. Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Débora B. Lima. A scholar is included among the top collaborators of Débora B. Lima 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 Débora B. Lima. Débora B. Lima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Lima, Débora B., et al.. (2025). Astigmatid mites (Acari: Astigmata) as factitious prey for mass rearing Amblyseius largoensis (Acari: Phytoseiidae). Experimental and Applied Acarology. 95(2). 21–21.
3.
Melo, José W. S., et al.. (2023). Survey and spatial distribution of tarsonemids and associated predators on coconut fruits. Systematic and Applied Acarology. 1 indexed citations
4.
Lima, Débora B., et al.. (2023). Acaricide exposure impairs predatory behavior of the phytoseiid miteNeoseiulus idaeus(Acari: Phytoseiidae). Journal of Economic Entomology. 116(4). 1225–1232. 1 indexed citations
5.
Melo, José W. S., et al.. (2020). Field distribution patterns of pests are asymmetrically affected by the presence of other herbivores. Bulletin of Entomological Research. 110(5). 611–619. 2 indexed citations
6.
7.
Lima, Débora B., et al.. (2018). Toxicity of acaricides to and the behavioural response of Steneotarsonemus concavuscutum (Acari: Tarsonemidae). Crop Protection. 112. 83–89. 2 indexed citations
8.
Lima, Débora B., et al.. (2018). Biological performance of the predatory mites Amblyseius largoensis and Euseius concordis fed on eggs of Aleurodicus cocois. Systematic and Applied Acarology. 23(11). 2099–2099. 4 indexed citations
9.
Lima, Débora B., et al.. (2017). Fertility Life Table of Tetranychus palmarum Flechtmann & Noronha (Acari: Tetranychidae) in Oil Palm. Neotropical Entomology. 47(5). 591–597. 3 indexed citations
10.
Lima, Débora B., et al.. (2016). Population-level effects of abamectin, azadirachtin and fenpyroximate on the predatory mite Neoseiulus baraki. Experimental and Applied Acarology. 70(2). 165–177. 18 indexed citations
11.
Lima, Débora B., José W. S. Melo, Manoel G. C. Gondim, et al.. (2016). Predator performance is impaired by the presence of a second prey species. Bulletin of Entomological Research. 107(3). 313–321. 5 indexed citations
12.
Melo, José W. S., et al.. (2015). Evidence of Amblyseius largoensis and Euseius alatus as biological control agent of Aceria guerreronis. Experimental and Applied Acarology. 67(3). 411–421. 18 indexed citations
13.
Lima, Débora B., José W. S. Melo, N. M. P. Guedes, et al.. (2015). Bioinsecticide-Predator Interactions: Azadirachtin Behavioral and Reproductive Impairment of the Coconut Mite Predator Neoseiulus baraki. PLoS ONE. 10(2). e0118343–e0118343. 39 indexed citations
14.
Lima, Débora B., et al.. (2015). Acaricide-impaired functional predation response of the phytoseiid mite Neoseiulus baraki to the coconut mite Aceria guerreronis. Ecotoxicology. 24(5). 1124–1130. 21 indexed citations
15.
Melo, José W. S., Débora B. Lima, Maurice W. Sabelis, Ângelo Pallini, & Manoel G. C. Gondim. (2014). Host finding behaviour of the coconut mite Aceria guerreronis. Experimental and Applied Acarology. 64(4). 445–454. 6 indexed citations
16.
Melo, José W. S., Débora B. Lima, Maurice W. Sabelis, Ângelo Pallini, & Manoel G. C. Gondim. (2014). Behaviour of coconut mites preceding take-off to passive aerial dispersal. Experimental and Applied Acarology. 64(4). 429–443. 18 indexed citations
17.
Lima, Débora B., José W. S. Melo, Manoel G. C. Gondim, & Gilberto J. de Morães. (2012). Limitations of Neoseiulus baraki and Proctolaelaps bickleyi as control agents of Aceria guerreronis. Experimental and Applied Acarology. 56(3). 233–246. 42 indexed citations
18.
Melo, José W. S., et al.. (2012). Dispersal strategies of Aceria guerreronis (Acari: Eriophyidae), a coconut pest. Experimental and Applied Acarology. 57(1). 1–13. 28 indexed citations
19.
Lima, Débora B., José W. S. Melo, R. N. C. Guedes, et al.. (2012). Survival and behavioural response to acaricides of the coconut mite predator Neoseiulus baraki. Experimental and Applied Acarology. 60(3). 381–393. 33 indexed citations
20.
Melo, José W. S., et al.. (2011). Olfactory response of predatory mites to vegetative and reproductive parts of coconut palm infested by Aceria guerreronis. Experimental and Applied Acarology. 55(2). 191–202. 28 indexed citations

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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