S. Obradović

605 total citations
9 papers, 455 citations indexed

About

S. Obradović is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Immunology. According to data from OpenAlex, S. Obradović has authored 9 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in S. Obradović's work include Growth Hormone and Insulin-like Growth Factors (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Diabetes and associated disorders (2 papers). S. Obradović is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Diabetes and associated disorders (2 papers). S. Obradović collaborates with scholars based in Czechia, Spain and Poland. S. Obradović's co-authors include Dragan Micić, Vera Popović, Felipe F. Casanueva, Carlos Diéguez, Мilan Petakov, Svetozar Damjanović, H. P. F. Koppeschaar, Elena Torres, Alfonso Leal and Gordana Leposavić and has published in prestigious journals such as The Lancet, Pharmacology Biochemistry and Behavior and Clinical Endocrinology.

In The Last Decade

S. Obradović

9 papers receiving 441 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. Obradović Czechia	7	342	86	66	52	49	9	455
S Justice United Kingdom	9	215 0.6×	34 0.4×	62 0.9×	94 1.8×	40 0.8×	12	400
Nikolaos Stathatos United States	10	215 0.6×	122 1.4×	86 1.3×	25 0.5×	39 0.8×	18	425
Alfonso Soto Spain	13	333 1.0×	131 1.5×	97 1.5×	85 1.6×	24 0.5×	31	507
Don Fleenor United States	9	242 0.7×	179 2.1×	133 2.0×	82 1.6×	124 2.5×	10	528
G Giustina Italy	14	420 1.2×	143 1.7×	84 1.3×	41 0.8×	30 0.6×	46	601
W. v. Petrykowski Germany	8	184 0.5×	73 0.8×	135 2.0×	16 0.3×	66 1.3×	19	364
R. G. Gheri Italy	9	178 0.5×	119 1.4×	49 0.7×	26 0.5×	26 0.5×	22	368
Giovanna Bugari Italy	14	355 1.0×	175 2.0×	100 1.5×	15 0.3×	33 0.7×	25	553
Raitis Pečulis Latvia	12	114 0.3×	53 0.6×	132 2.0×	36 0.7×	53 1.1×	32	329
Judit Tõke Hungary	13	270 0.8×	154 1.8×	67 1.0×	33 0.6×	37 0.8×	40	447

Countries citing papers authored by S. Obradović

Since Specialization

Citations

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

Fields of papers citing papers by S. Obradović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Obradović

This figure shows the co-authorship network connecting the top 25 collaborators of S. Obradović. A scholar is included among the top collaborators of S. Obradović based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Obradović. S. Obradović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Mitrović, D, et al.. (2021). Docking-based analysis and modeling of the activity of bile acids and their synthetic analogues on large conductance Ca2+ activated K channels in smooth muscle cells.. PubMed. 25(23). 7501–7507. 15 indexed citations

2.

Leposavić, Gordana, et al.. (2001). In vivo modulation of the distribution of thymocyte subsets by female sex steroid hormones. International Immunopharmacology. 1(1). 1–12. 23 indexed citations

3.

Obradović, S., et al.. (2001). In vivo modulation of the splenocyte yield and composition by female sex steroid hormones.. PubMed. 56(3). 235–8. 3 indexed citations

4.

Popović, Vera, Alfonso Leal, Dragan Micić, et al.. (2000). GH-releasing hormone and GH-releasing peptide-6 for diagnostic testing in GH-deficient adults. The Lancet. 356(9236). 1137–1142. 150 indexed citations

5.

Popović, Vera, Svetozar Damjanović, Dragan Micić, et al.. (1998). Increased incidence of neoplasia in patients with pituitary adenomas. Clinical Endocrinology. 49(4). 441–445. 155 indexed citations

6.

Petakov, Мilan, et al.. (1998). Pituitary adenomas secreting large amounts of prolactin may give false low values in immunoradiometric assays. The hook effect. Journal of Endocrinological Investigation. 21(3). 184–188. 49 indexed citations

7.

Popović, Vera, Dragan Micić, Svetozar Damjanović, et al.. (1997). Growth hormone secretagogues in pathological states: diagnostic implications. Acta Paediatrica. 86(S423). 97–101. 3 indexed citations

8.

Popović, Vera, Dragan Micić, Marina Djurovic, et al.. (1997). Absence of desensitization by hexarelin to subsequent GH releasing hormone‐mediated GH secretion in patients with anorexia nervosa. Clinical Endocrinology. 46(5). 539–543. 10 indexed citations

9.

Leposavić, Gordana, et al.. (1996). Differential effects of gonadectomy on the thymocyte phenotypic profile in male and female rats. Pharmacology Biochemistry and Behavior. 54(1). 269–276. 47 indexed citations

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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