Jennifer Ayala

1.9k citations
36 papers · 1.3k indexed · h-index 18
Topics
Neuroscience and Neuropharmacology Research (8 papers)Participatory Visual Research Methods (6 papers)Regulation of Appetite and Obesity (5 papers)
Journals
SHILAP Revista de lepidopterologíaBiomaterialsDiabetes

In The Last Decade

Jennifer Ayala

34 papers receiving 1.3k citations

Peers

Jennifer Ayala
Comparison fields: 5 of 122
  • Cellular and Molecular Neuroscience 635
  • Molecular Biology 539
  • Cognitive Neuroscience 266
  • Sociology and Political Science 162
  • Education 138
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Countries citing papers authored by Jennifer Ayala

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Ayala

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Ayala. A scholar is included among the top collaborators of Jennifer Ayala 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 Jennifer Ayala. Jennifer Ayala 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
#WorkIndexed citations
1 1
2 1
3 12
4 104
5 21
6 17
7 57
8 5
9 16
10 177
11 68
12
Novel allosteric modulators of metabotropic glutamate receptors subtypes 2 and 5 for the treatment of schizophrenia
1
13 161
14 92
15 33
16 68
17 131
18
Transformación del Paisaje y Uso Sustentable del Ecosistema Agrícola Andino en el Municipio Rangel, Mérida
0
19
Permissive antagonism induced by novel allosteric antagonists of metabotropic glutamate receptor 7
2
20 92

About Jennifer Ayala

Jennifer Ayala is a scholar working on Endocrine and Autonomic Systems, Conservation and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Participatory Visual Research Methods (6 papers) and Regulation of Appetite and Obesity (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (635 citations), Endocrine and Autonomic Systems (111 citations) and Cognitive Neuroscience (266 citations). Jennifer Ayala has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include P. Jeffrey Conn, Colleen M. Niswender, Nadine Martin, Qingwei Luo, Richard D. Williams, Kari A. Johnson, Julio E. Ayala, Melissa A. Burmeister, Zixiu Xiang and C. David Weaver. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and Diabetes.

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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