V. Pantić

43 papers receiving 293 citations

Peers

V. Pantić
Comparison fields: 5 of 77
  • Behavioral Neuroscience 47
  • Endocrine and Autonomic Systems 47
  • Reproductive Medicine 54
  • Endocrinology, Diabetes and Metabolism 66
  • Cellular and Molecular Neuroscience 38
Replace S.L. Petrović with:
S.L. Petrović United States
Shigeto KANEMATSU Japan
Ronald L. Salisbury United States
Michael F. Tarttelin New Zealand
Gene B. Fuller United States
Douglas S. Gross United States
Carole Lewis United States
Susan Brief United States
Vasant V. Patwardhan Canada
Vincent W. Hylka United States
V. Pantić relative to S.L. Petrović United States S.L. Petrović's profile →
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S.L. Petrović · 1×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201132
2 198229
3
Hormonally active brain peptides : structure and function
198228
4 197422
5 199519
6 196316
7 197214
8 196913
9 199511
10 199311
11 196711
12 197010
13 196610
14 19739
15 19627
16 20136
17 19856
18 19636
19 19625
20 20115

About V. Pantić

V. Pantić is a scholar working on Endocrinology, Diabetes and Metabolism, Plant Science, Behavioral Neuroscience, Molecular Biology and Animal Science and Zoology, having authored 43 papers that have together received 323 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (8 papers), Stress Responses and Cortisol (7 papers), Thyroid Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Animal Nutrition and Physiology (3 papers), Hypothalamic control of reproductive hormones (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Behavioral Neuroscience (47 citations), Endocrine and Autonomic Systems (47 citations), Reproductive Medicine (54 citations), Endocrinology, Diabetes and Metabolism (66 citations) and Cellular and Molecular Neuroscience (38 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, Miroslav Demajo, M. Kosanović, Marija Bodroža‐Solarov, D. Kanazir, L. Rappaport and Aleksandra Bočarov‐Stančić. 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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