B. Duvilanski

23 papers receiving 532 citations

Peers

B. Duvilanski
Comparison fields: 5 of 75
  • Behavioral Neuroscience 93
  • Endocrine and Autonomic Systems 138
  • Reproductive Medicine 95
  • Cellular and Molecular Neuroscience 139
  • Physiology 185
Replace N. Belova with:
N. Belova United States
Katsumi Wakabayashi Japan
C. Masotto Italy
Maria B. Bartolome United States
J. A. Moguilevsky Argentina
Christine Gervy Decoster Belgium
Naoko Yamaguchi Japan
Qin-Heng Huang United States
Brian Gillham United Kingdom
Julio César Rojas‐Castañeda Mexico
B. Duvilanski relative to N. Belova United States N. Belova's profile →
Citations per field
00.5×
N. Belova · 1×
Citations per year

Countries citing papers authored by B. Duvilanski

Since Specialization
Citations

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

Fields of papers citing papers by B. Duvilanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Apoptosis induced by arsenic is partially reverted by antioxidants in anterior pituitary cells.
20121
2 200655
3 20045
4 200432
5 200321
6 20032
7 200237
8 20006
9 20006
10 200021
11 19989
12 199566
13 1995127
14 199576
15 19913
16 19907
17 19897
18 19888
19 198717
20
GABA-prolactin interactions.
19866

About B. Duvilanski

B. Duvilanski is a scholar working on Behavioral Neuroscience, Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Biochemistry, having authored 24 papers that have together received 544 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Hypothalamic control of reproductive hormones (7 papers), Neuropeptides and Animal Physiology (6 papers), Stress Responses and Cortisol (5 papers), Nitric Oxide and Endothelin Effects (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Behavioral Neuroscience (93 citations), Endocrine and Autonomic Systems (138 citations), Reproductive Medicine (95 citations), Cellular and Molecular Neuroscience (139 citations) and Physiology (185 citations). B. Duvilanski has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include Adriana Seilicovich, Mercedes Lasaga, Valéria Rettori, Daniel Pisera, S. M. McCann, María Susana Theas, N. Belova, Luciano Debéljuk, Jimena P. Cabilla and Ariel Poliandri. Their work appears in journals such as Regulatory Peptides, Proceedings of the National Academy of Sciences, European Journal of Endocrinology, Journal of Endocrinology and Journal of Pharmacology and Experimental Therapeutics.

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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2026