Daniel Pisera

1.4k citations
59 papers · 1.2k · h-index 22

Impact in

Papers in

Daniel Pisera

58 papers receiving 1.2k citations

Peers

Daniel Pisera
Comparison fields: 5 of 85
  • Behavioral Neuroscience 117
  • Endocrinology, Diabetes and Metabolism 424
  • Endocrine and Autonomic Systems 169
  • Reproductive Medicine 186
  • Biological Psychiatry 25
Replace D.A. Leong with:
D.A. Leong United States
Estelle Louiset France
Willhart Knepel Germany
Galyna Bondar United States
Françoise Mounier France
Giuseppe Pollio Italy
Miklós Sárvári Hungary
Hideki Katakami Japan
P. Giraud France
Leonor Pérez‐Martínez Mexico
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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-authors

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

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995133
2 199571
3 200945
4 200541
5 200239
6 201137
7 199636
8 200236
9 200436
10 200435
11 200935
12 200835
13 200434
14 201131
15 200030
16 201329
17 201429
18 199828
19 200025
20 201423

About Daniel Pisera

Daniel Pisera is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Cellular and Molecular Neuroscience and Behavioral 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 (22 papers), Hypothalamic control of reproductive hormones (15 papers), Stress Responses and Cortisol (12 papers), Pituitary Gland Disorders and Treatments (11 papers), Neuropeptides and Animal Physiology (11 papers), Estrogen and related hormone effects (9 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 (117 citations), Endocrinology, Diabetes and Metabolism (424 citations), Endocrine and Autonomic Systems (169 citations), Reproductive Medicine (186 citations) and Biological Psychiatry (25 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, Verónica Zaldivar, Marianela Candolfi, B. Duvilanski, Valéria Rettori, Sandra Zárate and Daniela Radl. 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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