V. Pantić

49 papers receiving 331 citations

Peers

V. Pantić
Comparison fields: 5 of 78
  • Behavioral Neuroscience 75
  • Endocrine and Autonomic Systems 60
  • Reproductive Medicine 73
  • Endocrinology, Diabetes and Metabolism 76
  • Cellular and Molecular Neuroscience 61
Replace S.L. Petrović with:
S.L. Petrović United States
James P. Preslock United States
M. F. Tarttelin New Zealand
A. P. Labhsetwar United States
Carole Lewis United States
Michael F. Tarttelin New Zealand
Yoko Honda Japan
Alina Gajewska Poland
Vasant V. Patwardhan Canada
Waldemar Grzegorzewski Poland
V. Pantić relative to S.L. Petrović United States S.L. Petrović's profile →
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Citations per year

Countries citing papers authored by V. Pantić

Since Specialization
Citations

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

Fields of papers citing papers by V. Pantić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside V. Pantić, 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 V. Pantić Line = papers co-authored together V. Pantić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198240
2 201134
3
Hormonally active brain peptides : structure and function
198233
4 197423
5 199519
6 196316
7 197215
8 196915
9 199514
10 197313
11 196712
12 199311
13 197010
14 19809
15 19759
16 19859
17 19627
18 19626
19 20136
20 19756

About V. Pantić

V. Pantić is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Plant Science, Molecular Biology and Animal Science and Zoology, having authored 50 papers that have together received 381 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (12 papers), Mycotoxins in Agriculture and Food (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Thyroid Disorders and Treatments (6 papers), Regulation of Appetite and Obesity (4 papers), Birth, Development, and Health (4 papers), Neuroendocrine regulation and behavior (3 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Behavioral Neuroscience (75 citations), Endocrine and Autonomic Systems (60 citations), Reproductive Medicine (73 citations), Endocrinology, Diabetes and Metabolism (76 citations) and Cellular and Molecular Neuroscience (61 citations). V. Pantić has collaborated with scholars based in Serbia, Canada and Bulgaria. Frequent co-authors include Kenneth W. McKerns, Olga Genbačev, R. Ekholm, M. Adamović, M. Kosanović, Marija Bodroža‐Solarov, Miroslav Demajo, D. Kanazir, L. Rappaport and Peter A. Nickerson. Their work appears in journals such as Cell and Tissue Research, Nature, Cells Tissues Organs, General and Comparative Endocrinology and Acta veterinaria.

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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