Ivan Marković

1.5k total citations
52 papers, 428 citations indexed

About

Ivan Marković is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research. According to data from OpenAlex, Ivan Marković has authored 52 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Surgery and 11 papers in Cancer Research. Recurrent topics in Ivan Marković's work include Thyroid Cancer Diagnosis and Treatment (24 papers), Breast Cancer Treatment Studies (10 papers) and Thyroid and Parathyroid Surgery (9 papers). Ivan Marković is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (24 papers), Breast Cancer Treatment Studies (10 papers) and Thyroid and Parathyroid Surgery (9 papers). Ivan Marković collaborates with scholars based in Serbia, Japan and Croatia. Ivan Marković's co-authors include Radan Džodić, Gordana Pupić, Igor Djurisic, Marko Buta, Zorka Milovanović, Zorka Inić, Snežana Jančić, Zorica D. Juranić, Boban Stanojević and Vladimir Saenko and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Process Biochemistry.

In The Last Decade

Ivan Marković

40 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Marković Serbia 11 136 129 119 112 91 52 428
Daixing Hu China 15 151 1.1× 116 0.9× 214 1.8× 250 2.2× 169 1.9× 40 605
Ewa Zembala‐Nożyńska Poland 11 62 0.5× 65 0.5× 114 1.0× 135 1.2× 41 0.5× 45 345
Mariangela Balistreri Italy 10 72 0.5× 124 1.0× 67 0.6× 270 2.4× 219 2.4× 15 487
Luis Gustavo Perez‐Rivas Germany 16 204 1.5× 124 1.0× 277 2.3× 210 1.9× 195 2.1× 26 625
Linda W.C. Ng Hong Kong 9 241 1.8× 88 0.7× 138 1.2× 107 1.0× 181 2.0× 11 452
Liping Chung Australia 14 55 0.4× 158 1.2× 57 0.5× 270 2.4× 119 1.3× 20 555
Lucie Coppin France 14 52 0.4× 140 1.1× 55 0.5× 177 1.6× 70 0.8× 25 421
TaeJeong Oh South Korea 10 43 0.3× 120 0.9× 93 0.8× 210 1.9× 97 1.1× 14 385
Shinsuke Uraki Japan 12 104 0.8× 138 1.1× 160 1.3× 104 0.9× 27 0.3× 33 441
Valentina Pasquale Italy 13 159 1.2× 272 2.1× 56 0.5× 249 2.2× 113 1.2× 25 499

Countries citing papers authored by Ivan Marković

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Marković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Marković

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

All Works

20 of 20 papers shown
1.
2.
Nedeljković, Milica, Ivan Marković, Igor Spurnić, et al.. (2024). Prognostic and Clinical Significance of PD-L1, EGFR and Androgen Receptor (AR) Expression in Triple-Negative Breast Cancer (TNBC) Patients. Life. 14(6). 682–682. 8 indexed citations
3.
Popović, Marina, Dragana Šobić-Šaranović, Nataša Avramović, et al.. (2023). Prediction of Cervical Lymph Node Metastasis in Clinically Node-Negative T1 and T2 Papillary Thyroid Carcinoma Using Supervised Machine Learning Approach. Journal of Clinical Medicine. 12(11). 3641–3641. 5 indexed citations
4.
Marković, Ivan, et al.. (2020). Successfully Resected Cardiac Metastatic Melanoma in a Lifesaving Cardiac Surgery: A Case Report. The Heart Surgery Forum. 23(4). E527–E530. 1 indexed citations
5.
Spasić, Marko, Slobodanka Mitrović, Ivan Marković, et al.. (2019). A borderline phyllodes breast tumor clinicaly presented as giant exulcerated suspicious malignant tumor. The Breast. 44. S125–S126.
6.
Popović, Lazar, Z. Tomasevic, Ljiljana Stamatović, et al.. (2018). Serbian consensus of neoadjuvant therapy for breast cancer: NeoPULSE. PubMed. 23(2). 522–532.
7.
Marković, Ivan, Zoran Bukumirić, D. Stojiljkovic, et al.. (2018). Predictors of sentinel lymph node status of cutaneous melanoma in Serbian patients. PubMed. 23(2). 468–474. 1 indexed citations
8.
Popović, Lazar, Ljiljana Stamatović, Ivan Marković, et al.. (2018). Serbian consensus of neoadjuvant therapy for breast cancer: NeoPULSE. Zenodo (CERN European Organization for Nuclear Research).
9.
Marković, Ivan, et al.. (2017). Prognostic factors for intrathyroidal papillary carcinomas - a multivariate analysis. Endocrine Abstracts. 1 indexed citations
10.
Djurisic, Igor, Marko Buta, Merima Goran, et al.. (2016). Can we use frozen section analysis of sentinel lymph nodes mapped with methylene blue dye for decision making upon one-time axillary dissection in breast carcinoma surgery in developing countries?. Journal of Clinical Oncology. 34(15_suppl). e12037–e12037. 2 indexed citations
11.
12.
Marković, Ivan, Radan Džodić, Marko Buta, et al.. (2015). Sentinel lymph node biopsy in papillary thyroid cancer: Reliability in decision for selective lateral neck dissection.. Journal of Clinical Oncology. 33(15_suppl). e17022–e17022.
13.
Janković, Milica M., et al.. (2014). Parathyroid dual tracer subtraction scintigraphy: small regions method for quantitative assessment of parathyroid adenoma uptake. Annals of Nuclear Medicine. 28(8). 736–745. 9 indexed citations
14.
Matić, Ivana Z., Zorka Milovanović, Ivan Marković, et al.. (2011). Serum DPPIV activity and CD26 expression on lymphocytes in patients with benign or malignant breast tumors. Immunobiology. 216(8). 942–946. 25 indexed citations
15.
Stanojević, Boban, Radan Džodić, Vladimir Saenko, et al.. (2011). Mutational and clinico-pathological analysis of papillary thyroid carcinoma in Serbia. Endocrine Journal. 58(5). 381–393. 30 indexed citations
16.
Vekić, Berislav, et al.. (2011). Surgical anatomy of the pyramidal lobe and its significance in thyroid surgery.. PubMed. 49(3). 110, 112, 114 passim–110, 112, 114 passim. 31 indexed citations
17.
Džodić, Radan, Boban Stanojević, Vladimir Saenko, et al.. (2010). Intraductal papilloma of ectopic breast tissue in axillary lymph node of a patient with a previous intraductal papilloma of ipsilateral breast: a case report and review of the literature. Diagnostic Pathology. 5(1). 17–17. 16 indexed citations
18.
Juranić, Zorica D., et al.. (2008). Effects of Humoral Immunity and Calreticulin Overexpression on Postoperative Course in Breast Cancer. Pathology & Oncology Research. 15(1). 89–90. 37 indexed citations
19.
Džodić, Radan, et al.. (2003). Principi hirurgije limfnih nodusa kod diferentovanog tiroidnog karcinoma. Acta chirurgica iugoslavica. 50(3). 97–102.
20.
Marković, Ivan, et al.. (2001). Use of the Foster-Niemann Equation in Study of the Enzymic Processes. Food Technology and Biotechnology. 39(4). 347–352. 1 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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