Ivan Paunović

3.3k total citations
139 papers, 1.6k citations indexed

About

Ivan Paunović is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Oncology. According to data from OpenAlex, Ivan Paunović has authored 139 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Endocrinology, Diabetes and Metabolism, 55 papers in Surgery and 27 papers in Oncology. Recurrent topics in Ivan Paunović's work include Thyroid Cancer Diagnosis and Treatment (72 papers), Thyroid and Parathyroid Surgery (27 papers) and Thyroid Disorders and Treatments (22 papers). Ivan Paunović is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (72 papers), Thyroid and Parathyroid Surgery (27 papers) and Thyroid Disorders and Treatments (22 papers). Ivan Paunović collaborates with scholars based in Serbia, Poland and Czechia. Ivan Paunović's co-authors include Vladan Živaljević, Svetislav Tatić, Dubravka Cvejić, Aleksandar Diklić, Svetlana Savin, M Havelka, Branislav Rovčanin, Sandra Šipetić Grujičić, Nevena Kalezić and Jelena Marinković and has published in prestigious journals such as PLoS ONE, European Heart Journal and Environmental Research.

In The Last Decade

Ivan Paunović

131 papers receiving 1.6k citations

Peers

Ivan Paunović

EDM

SURGE

ONCOL

IMMUN

Marialuisa Appetecchia Italy

Marco Attard Italy

Vincenzo Marotta Italy

Guang Chen China

Αθανάσιος Παπαθεοδώρου Greece

Ge Chen China

Shijie Xin China

Xintao Li China

Leslie S. Eldeiry United States

E L Kaplan United States

Marialuisa Appetecchia Italy

Ivan Paunović

665 ×0.7

EDM

439 ×0.8

SURGE

142 ×0.5

394 ×1.4

ONCOL

41 ×0.2

IMMUN

Citations per year, relative to Ivan Paunović Ivan Paunović (= 1×) peers Marialuisa Appetecchia

Countries citing papers authored by Ivan Paunović

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Paunović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Paunović

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Paunović. A scholar is included among the top collaborators of Ivan Paunović 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 Ivan Paunović. Ivan Paunović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tatić, Svetislav, et al.. (2022). Relationship between Trace Elements and Matrix Metalloproteinases 2 and 9 and their Tissue Inhibitors in Medullary Thyroid Carcinoma. Biological Trace Element Research. 201(7). 3225–3232. 5 indexed citations

Živaljević, Vladan, et al.. (2021). Predictive Value of Calcium Test for Preoperative Diagnosis of Medullary Thyroid Carcinoma in Patients With Moderately Elevated Basal Calcitonin. Endocrine Practice. 27(11). 1077–1081. 2 indexed citations

Moreno, Pablo, Thomas J. Musholt, Ivan Paunović, et al.. (2020). Laparoscopy versus open adrenalectomy in patients with solid tumor metastases: results of a multicenter European study. Gland Surgery. 9(S2). S159–S165. 8 indexed citations

Slijepčević, Nikola, et al.. (2019). Prikaz slučaja karcinoma paratiroidne žlezde kod pacijenata sa hroničnom bubrežnom insuficijencijom. 24(75). 7–14.

Stojsavljević, Aleksandar, Branislav Rovčanin, Slavica Borković-Mitić, et al.. (2019). Evaluation of trace metals in thyroid tissues: Comparative analysis with benign and malignant thyroid diseases. Ecotoxicology and Environmental Safety. 183. 109479–109479. 38 indexed citations

Paunović, Ivan, Aleksandar Diklić, Zoran Bukumirić, et al.. (2018). Analysis of malignancy predictors for follicular thyroid tumors. Vojnosanitetski pregled. 77(3). 282–288. 2 indexed citations

Savin, Svetlana, et al.. (2018). Concomitant high expression of survivin and vascular endothelial growth factor-C is strongly associated with metastatic status of lymph nodes in papillary thyroid carcinoma. Journal of Cancer Research and Therapeutics. 14(Suppl 1). S114–S119. 16 indexed citations

Diklić, Aleksandar, et al.. (2017). Analysis of malignancy predictors for oxyphile thyroid tumors.. PubMed. 21(6). 1496–1500. 1 indexed citations

Jovanović, Milan, et al.. (2017). Adrenocortical carcinoma’s incidence and mortality in central Serbia. Srpski arhiv za celokupno lekarstvo. 145(1-2). 38–42. 2 indexed citations

10.

Paunović, Ivan, Zlatibor Lončar, Vladimir Djukić, et al.. (2017). Survival and prognostic factors for survival, cancer specific survival and disease free interval in 239 patients with Hurthle cell carcinoma: a single center experience. BMC Cancer. 17(1). 371–371. 34 indexed citations

11.

Živaljević, Vladan, et al.. (2015). Validation and cross-cultural adaptation of the questionnaire ThyPRO in thyroid patients in Serbia. Vojnosanitetski pregled. 72(7). 583–588. 6 indexed citations

12.

Nikolić, Aleksandra, et al.. (2015). SMAD4 gene promoter mutations in patients with thyroid tumors. Experimental and Molecular Pathology. 99(1). 100–103. 9 indexed citations

13.

Živaljević, Vladan, Ivan Paunović, Aleksandar Diklić, et al.. (2014). Age as a Prognostic Factor in Anaplastic Thyroid Cancer. International Journal of Endocrinology. 2014. 1–5. 22 indexed citations

14.

Sancho, J., Thomas W. J. Lennard, Ivan Paunović, Frédéric Triponez, & Antonio Sitges‐Serra. (2013). Prophylactic central neck disection in papillary thyroid cancer: a consensus report of the European Society of Endocrine Surgeons (ESES). Langenbeck s Archives of Surgery. 399(2). 155–163. 127 indexed citations

15.

Kalezić, Nevena, Vladan Živaljević, Nikola Slijepčević, et al.. (2012). Risk factors for sporadic medullary thyroid carcinoma. European Journal of Cancer Prevention. 22(3). 262–267. 7 indexed citations

16.

Savin, Svetlana, et al.. (2010). Serum Cyfra 21.1 and galectin-3 protein levels in relation to immunohistochemical cytokeratin 19 and galectin-3 expression in patients with thyroid tumors. Journal of Cancer Research and Clinical Oncology. 136(12). 1805–1812. 26 indexed citations

17.

Živaljević, Vladan, Hristina Vlajinac, Jelena Marinković, et al.. (2008). Case–control study of anaplastic thyroid cancer: goiter patients as controls. European Journal of Cancer Prevention. 17(2). 111–115. 19 indexed citations

18.

Cvejić, Dubravka, Svetlana Savin, Ivana Petrović, et al.. (2005). Galectin‐3 expression in papillary thyroid carcinoma: Relation to histomorphologic growth pattern, lymph node metastasis, extrathyroid invasion, and tumor size. Head & Neck. 27(12). 1049–1055. 19 indexed citations

19.

Cvejić, Dubravka, Svetlana Savin, Ivana Petrović, et al.. (2005). Galectin‐3 expression in papillary microcarcinoma of the thyroid. Histopathology. 47(2). 209–214. 16 indexed citations

20.

Cvejić, Dubravka, et al.. (2000). Galectin‐3 and carcinoembryonic antigen expression in medullary thyroid carcinoma: possible relation to tumour progression. Histopathology. 37(6). 530–535. 33 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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