Vesna Mandić

784 total citations
46 papers, 457 citations indexed

About

Vesna Mandić is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Hematology. According to data from OpenAlex, Vesna Mandić has authored 46 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Obstetrics and Gynecology, 17 papers in Pediatrics, Perinatology and Child Health and 12 papers in Hematology. Recurrent topics in Vesna Mandić's work include Pregnancy and preeclampsia studies (21 papers), Blood Coagulation and Thrombosis Mechanisms (11 papers) and Gestational Diabetes Research and Management (10 papers). Vesna Mandić is often cited by papers focused on Pregnancy and preeclampsia studies (21 papers), Blood Coagulation and Thrombosis Mechanisms (11 papers) and Gestational Diabetes Research and Management (10 papers). Vesna Mandić collaborates with scholars based in Serbia, Russia and Sweden. Vesna Mandić's co-authors include Željko Miković, Mirjana Kovač, Dragica Radojković, Ljiljana Rakićević, Valentina Djordjević, Ivo Elezović, Gorana Mitić, Slavica Spasić, Zorana Jelić‐Ivanović and Olgica Nedić and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Vesna Mandić

40 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vesna Mandić Serbia 13 150 132 124 104 93 46 457
Evelyn Lockhart United States 13 149 1.0× 109 0.8× 202 1.6× 15 0.1× 29 0.3× 25 544
Metin Kılınç Türkiye 12 32 0.2× 26 0.2× 28 0.2× 44 0.4× 104 1.1× 41 488
L. Moltó Spain 11 23 0.2× 63 0.5× 60 0.5× 19 0.2× 25 0.3× 32 366
Idrissia Abdelmouttaleb France 11 23 0.2× 62 0.5× 42 0.3× 5 0.0× 82 0.9× 13 429
Giuseppe Arena Italy 19 29 0.2× 11 0.1× 43 0.3× 53 0.5× 785 8.4× 87 1.1k
Alexandra Thompson Canada 10 54 0.4× 6 0.0× 64 0.5× 12 0.1× 32 0.3× 22 505
Ralph Ruwoldt Germany 8 10 0.1× 51 0.4× 10 0.1× 90 0.9× 20 0.2× 9 417
P. M. Olley United Kingdom 13 46 0.3× 8 0.1× 80 0.6× 20 0.2× 145 1.6× 21 546
H. Laubenthal Germany 15 9 0.1× 24 0.2× 44 0.4× 7 0.1× 73 0.8× 49 755
Hiroya Okano Japan 15 25 0.2× 13 0.1× 12 0.1× 6 0.1× 47 0.5× 31 775

Countries citing papers authored by Vesna Mandić

Since Specialization
Citations

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

Fields of papers citing papers by Vesna Mandić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vesna Mandić

This figure shows the co-authorship network connecting the top 25 collaborators of Vesna Mandić. A scholar is included among the top collaborators of Vesna Mandić 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 Vesna Mandić. Vesna Mandić 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.
Robajac, Dragana, et al.. (2025). miR-27a-3p, miR-222-3p and miR-340-5p as indicators of the antioxidant response activation in gestational diabetes. Molecular Biology Reports. 52(1). 661–661.
2.
3.
Katrlı́k, Jaroslav, et al.. (2024). Serum Glycome as a Diagnostic and Prognostic Factor in Gestational Diabetes Mellitus. Biochemistry (Moscow). 89(1). 148–158. 1 indexed citations
4.
Mandić, Milica, et al.. (2024). LncRNAs Involved in Antioxidant Response Regulation as Biomarkers of Gestational Diabetes: A Study on H19, MALAT1 and MEG3. Antioxidants. 13(12). 1503–1503. 1 indexed citations
5.
6.
Šumarac-Dumanović, Mirjana, et al.. (2022). Age, Body Mass Index, and Waist-to-Hip Ratio Related Changes in Insulin Secretion  and  Insulin Sensitivity in Women  with Polycystic Ovary Syndrome: Minimal Model Analyses. International Journal of Endocrinology. 2022. 1–11. 1 indexed citations
7.
Robajac, Dragana, et al.. (2022). Gestational Diabetes is Associated with an Increased Expression of miR-27a in Peripheral Blood Mononuclear Cells. Molecular Diagnosis & Therapy. 26(4). 421–435. 11 indexed citations
8.
Dopsaj, Violeta, Mirjana Kovač, Vesna Mandić, et al.. (2021). Phosphatidylserine Exposing Extracellular Vesicles in Pre-eclamptic Patients. Frontiers in Medicine. 8. 761453–761453. 8 indexed citations
9.
Pristov, Jelena Bogdanović, et al.. (2020). Oxidative status of maternal blood in pregnancies burdened by inherited thrombophilias. PLoS ONE. 15(6). e0234253–e0234253. 2 indexed citations
10.
Stefanović, Aleksandra, Milica Miljković, Vesna Mandić, et al.. (2020). Lipid profile and lipid oxidative modification parameters in the first trimester of high- risk pregnancies - possibilities for preeclampsia prediction. Clinical Biochemistry. 81. 34–40. 6 indexed citations
11.
Kovač, Mirjana, Gorana Mitić, Željko Miković, et al.. (2018). The influence of specific mutations in the AT gene (SERPINC1) on the type of pregnancy related complications. Thrombosis Research. 173. 12–19. 20 indexed citations
12.
Stefanović, Aleksandra, Jelena Kotur‐Stevuljević, Ana Vujović, et al.. (2014). The Influence of Maternal Smoking HabitsBefore Pregnancy and Antioxidative SupplementationDuring Pregnancy on Oxidative Stress Statusin a Non-Complicated Pregnancy. Advances in Clinical and Experimental Medicine. 23(4). 575–583. 25 indexed citations
13.
Mandić, Vesna, et al.. (2014). Doppler parameters of the maternal hepatic artery blood flow in normal pregnancy: maternal hepatic artery blood flow in normal pregnancy. European Journal of Obstetrics & Gynecology and Reproductive Biology. 181. 275–279. 10 indexed citations
14.
Miković, Željko, et al.. (2013). Erythropoietin in amniotic fluid as a potential marker in distinction between growth restricted and constitutionally small fetuses. The Journal of Maternal-Fetal & Neonatal Medicine. 27(11). 1134–1137. 3 indexed citations
15.
Stefanović, Aleksandra, Jelena Kotur‐Stevuljević, Ana Vujović, et al.. (2012). Association of the atherogenic index of plasma and oxidative stress status with weight gain during non-complicated pregnancy. Clinical Chemistry and Laboratory Medicine (CCLM). 50(11). 2019–2025. 9 indexed citations
16.
Stefanović, Aleksandra, Jelena Kotur‐Stevuljević, Ana Vujović, et al.. (2011). Longitudinal changes in PON1 activities, PON1 phenotype distribution and oxidative status throughout normal pregnancy. Reproductive Toxicology. 33(1). 20–26. 13 indexed citations
17.
Kovač, Mirjana, Gorana Mitić, Željko Miković, et al.. (2010). Thrombophilia in Women with Pregnancy-Associated Complications: Fetal Loss and Pregnancy-Related Venous Thromboembolism. Gynecologic and Obstetric Investigation. 69(4). 233–238. 29 indexed citations
18.
Miković, Željko, et al.. (2009). Intrauterine Treatment of Large Fetal Neck Lymphangioma with OK-432. Fetal Diagnosis and Therapy. 26(2). 102–106. 30 indexed citations
19.
Pristov, Jelena Bogdanović, et al.. (2008). Antioxidative Defense Enzymes in Placenta Protect Placenta and Fetus in Inherited Thrombophilia from Hydrogen Peroxide. Oxidative Medicine and Cellular Longevity. 2(1). 14–18. 12 indexed citations
20.
Petrović, Djordje, et al.. (2008). Socio-demographic factors and cervical length in pregnancy. Medicinski pregled. 61(9-10). 443–451. 4 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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