María I. Morano

973 citations
26 papers · 826 indexed · h-index 14
Topics
Stress Responses and Cortisol (14 papers)Hormonal Regulation and Hypertension (10 papers)Estrogen and related hormone effects (5 papers)

In The Last Decade

María I. Morano

25 papers receiving 812 citations

Peers

María I. Morano
Comparison fields: 5 of 85
  • Behavioral Neuroscience 384
  • Social Psychology 217
  • Endocrinology, Diabetes and Metabolism 195
  • Molecular Biology 174
  • Cellular and Molecular Neuroscience 170
Replace A. N. Chepkova with:
A. N. Chepkova Germany
Eugene D. Festa United States
L Jaworska-Feil Poland
F Holsboer Germany
François P. Monnet France
A. Korneyev United States
Midori Ninomiya Japan
Marı́a Inés Forray Chile
Philip A. Iredale United States
Cedomir Todorovic United States
María I. Morano relative to A. N. Chepkova Germany A. N. Chepkova's profile →
Citations per field
00.5×1.5×2.4×
A. N. Chepkova · 1×
Citations per year

Countries citing papers authored by María I. Morano

Since Specialization
Citations

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

Fields of papers citing papers by María I. Morano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María I. Morano. 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 María I. Morano. The network helps show where María I. Morano may publish in the future.

Co-authorship network of co-authors of María I. Morano

This figure shows the co-authorship network connecting the top 25 collaborators of María I. Morano. A scholar is included among the top collaborators of María I. Morano 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 María I. Morano. María I. Morano 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 5
2 4
3 0
4 3
5 23
6 104
7 24
8 11
9 27
10 166
11 1
12 82
13 8
14 6
15 65
16 52
17 20
18 38
19 4
20 66

About María I. Morano

María I. Morano is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 26 papers that have together received 826 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (14 papers), Hormonal Regulation and Hypertension (10 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Behavioral Neuroscience (384 citations), Biological Psychiatry (70 citations) and Endocrine and Autonomic Systems (128 citations). María I. Morano has collaborated with scholars based in United States, Italy and Argentina. Frequent co-authors include Huda Akil, Stanley J. Watson, Delia M. Vázquez, James P. Herman, William E. Cullinan, Aldo Badiani, Fernando E. Estivariz, Manuel O. López-Figueroa, Terry E. Robinson and Seung Kwak. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Brain Research.

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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