Daniel Pisera

1.4k citations
59 papers · 1.2k indexed · h-index 21

Impact in

Papers in

Daniel Pisera

58 papers receiving 1.1k citations

Peers

Daniel Pisera
Comparison fields: 5 of 89
  • Behavioral Neuroscience 124
  • Endocrinology, Diabetes and Metabolism 423
  • Endocrine and Autonomic Systems 170
  • Reproductive Medicine 182
  • Biological Psychiatry 26
Replace D.A. Leong with:
D.A. Leong United States
Françoise Mounier France
Estelle Louiset France
Willhart Knepel Germany
M. Motta Italy
A. Bartke United States
Giuseppe Pollio Italy
William J. DeVito United States
P. Giraud France
Miklós Sárvári Hungary
Daniel Pisera relative to D.A. Leong United States D.A. Leong's profile →
Citations per field
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D.A. Leong · 1×
Citations per year

Countries citing papers authored by Daniel Pisera

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pisera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20204
2 201423
3 201429
4 201329
5 201135
6 20055
7 200434
8 200432
9 200238
10 200235
11 200030
12 20006
13 19993
14 19988
15 199828
16 19989
17 19972
18 199635
19 19949
20 19913

About Daniel Pisera

Daniel Pisera is a scholar working on Behavioral Neuroscience, Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (23 papers), Hypothalamic control of reproductive hormones (16 papers), Stress Responses and Cortisol (12 papers), Pituitary Gland Disorders and Treatments (12 papers), Neuropeptides and Animal Physiology (11 papers), Estrogen and related hormone effects (10 papers), Neuroendocrine regulation and behavior (8 papers) and Reproductive System and Pregnancy (7 papers). The work is most often cited by research in Behavioral Neuroscience (124 citations), Endocrinology, Diabetes and Metabolism (423 citations), Endocrine and Autonomic Systems (170 citations), Reproductive Medicine (182 citations) and Biological Psychiatry (26 citations). Daniel Pisera has collaborated with scholars based in Argentina, United States and France. Frequent co-authors include Adriana Seilicovich, Gabriela Jaita, Jimena Ferraris, Mercedes Lasaga, Marianela Candolfi, Verónica Zaldivar, B. Duvilanski, Valéria Rettori, Beatriz H. Duvilanski and María Susana Theas. Their work appears in journals such as Journal of Neuroendocrinology, Neuroendocrinology, PLoS ONE, Endocrinology and Journal of Endocrinology.

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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