Daniela S. Rivera

27 papers receiving 365 citations

Peers

Daniela S. Rivera
Comparison fields: 5 of 88
  • Aging 20
  • Complementary and alternative medicine 79
  • Behavioral Neuroscience 25
  • Biological Psychiatry 12
  • Developmental Biology 9
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Veronica Rivi Italy
Isabelle Chery France
Wendy A. Weiger United States
Tahereh Bozorgmehr Canada
Nikita Ershov Russia
Raíssa R. Christoff Brazil
Laura J. Fick Canada
Hui-Bao Gao China
Huiwen W. Zhao United States
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Citations per year

Countries citing papers authored by Daniela S. Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Daniela S. Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela S. Rivera. 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 Daniela S. Rivera. The network helps show where Daniela S. Rivera may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela S. Rivera, 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 Daniela S. Rivera Line = papers co-authored together Daniela S. Rivera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 201245
3 201438
4 201935
5 202027
6 201621
7 201820
8 201819
9 202012
10 202012
11 201610
12 20189
13 20188
14 20217
15 20237
16
Breeding point and larval association of anopheline mosquitoes of northwest Mindoro, Philippines.
19857
17 20145
18 20234
19
Liolaemus puna Lobo y Espinoza, 2004 (Squamata: Liolaemidae)
20083
20
A Survey of the Mosquito Fauna in Palawan, Mindanao and North Luzon, Republic of the Philippines 1
20153

About Daniela S. Rivera

Daniela S. Rivera is a scholar working on Molecular Biology, Social Psychology, Ecology, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 30 papers that have together received 369 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (4 papers), Primate Behavior and Ecology (3 papers), Andrographolide Research and Applications (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuroendocrine regulation and behavior (3 papers), Alzheimer's disease research and treatments (2 papers), Wildlife Ecology and Conservation (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (20 citations), Complementary and alternative medicine (79 citations), Behavioral Neuroscience (25 citations), Biological Psychiatry (12 citations) and Developmental Biology (9 citations). Daniela S. Rivera has collaborated with scholars based in Chile, Australia and Bolivia. Frequent co-authors include Nibaldo C. Inestrosa, Carolina B. Lindsay, Francisco Bozinovic, Pedro Cisternas, Luis A. Ebensperger, Juan F. Codocedo, Loren D. Hayes, Francisco Bozinovic, Juan M. Zolezzi and Carolina A. Oliva. Their work appears in journals such as Molecular Neurobiology, Frontiers in Integrative Neuroscience, Zoological Journal of the Linnean Society, Scientific Reports and Frontiers in Aging Neuroscience.

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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