Arnulfo Quesada

978 citations
17 papers · 871 · h-index 14

Impact in

Papers in

Arnulfo Quesada

17 papers receiving 840 citations

Peers

Arnulfo Quesada
Comparison fields: 5 of 73
  • Reproductive Medicine 145
  • Behavioral Neuroscience 60
  • Endocrinology, Diabetes and Metabolism 246
  • Cellular and Molecular Neuroscience 267
  • Neurology 170
Replace Akie Yanai with:
Akie Yanai Japan
Tatiana Ivanova Germany
Sophie Callier Canada
Brigitte Delespierre France
G. Glassmeier Germany
Timothy J. Sendera United States
Marie‐Christine Tonon France
Qun-Yong Zhou United States
Csaba Vastagh Hungary
Armando Arroyo United States
Arnulfo Quesada relative to Akie Yanai Japan Akie Yanai's profile →
Citations per field
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Akie Yanai · 1×
Citations per year

Countries citing papers authored by Arnulfo Quesada

Since Specialization
Citations

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

Fields of papers citing papers by Arnulfo Quesada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Arnulfo Quesada, 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 Arnulfo Quesada Line = papers co-authored together Arnulfo Quesada links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2008165
2 2003133
3 2007100
4 200194
5 200274
6 201067
7 201146
8 200139
9 200935
10 200827
11 201117
12 201215
13 200214
14 201013
15 200612
16 200011
17 20089

About Arnulfo Quesada

Arnulfo Quesada is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 871 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Hypothalamic control of reproductive hormones (4 papers), Neurological disorders and treatments (4 papers), Neuroscience and Neural Engineering (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Neuropeptides and Animal Physiology (3 papers), Ovarian function and disorders (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Reproductive Medicine (145 citations), Behavioral Neuroscience (60 citations), Endocrinology, Diabetes and Metabolism (246 citations), Cellular and Molecular Neuroscience (267 citations) and Neurology (170 citations). Arnulfo Quesada has collaborated with scholars based in United States, Austria and South Korea. Frequent co-authors include Paul E. Micevych, Anne M. Etgen, Adrian Handforth, Horacio E. Romeo, Michael Ansonoff, Gregg E. Homanics, James J. Schultz, Peter Bui, Oliver Hankinson and Kathiresan Krishnan. Their work appears in journals such as Brain Research, Drug Metabolism and Disposition, Developmental Neurobiology, Hormones and Behavior and Journal of 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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