Ivan Marković

1.5k citations
52 papers · 428 · h-index 11

Impact in

Papers in

Ivan Marković

40 papers receiving 417 citations

Peers

Ivan Marković
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 119
  • Cancer Research 91
  • Oncology 129
  • Surgery 136
  • Pathology and Forensic Medicine 39
Replace Daixing Hu with:
Daixing Hu China
Veronika Mančíková Spain
Luis Gustavo Perez‐Rivas Germany
Shaham Beg Saudi Arabia
Dao Doan United States
Päivi Siironen Finland
Linda W.C. Ng Hong Kong
Anke Meyer Germany
María Roqué Argentina
Nicole Jackson Australia
Ivan Marković relative to Daixing Hu China Daixing Hu's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ivan Marković, 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 Ivan Marković Line = papers co-authored together Ivan Marković links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014121
2 200837
3
Surgical anatomy of the pyramidal lobe and its significance in thyroid surgery.
201131
4 201130
5 201227
6 201125
7 201517
8 201016
9 201415
10
Multifocality as independent prognostic factor in papillary thyroid cancer - A multivariate analysis.
201912
11 201711
12 20149
13 20158
14 20248
15
The influence of papillary thyroid microcarcinomas size on the occurrence of lymph node metastases.
20206
16 20196
17 20235
18
Sentinel lymph node biopsy in clinically node negative patients with papillary thyroid carcinoma.
20205
19 20024
20 19954

About Ivan Marković

Ivan Marković is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 428 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (24 papers), Breast Cancer Treatment Studies (10 papers), Thyroid and Parathyroid Surgery (9 papers), BRCA gene mutations in cancer (5 papers), Head and Neck Anomalies (4 papers), Breast Lesions and Carcinomas (4 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (119 citations), Cancer Research (91 citations), Oncology (129 citations), Surgery (136 citations) and Pathology and Forensic Medicine (39 citations). Ivan Marković has collaborated with scholars based in Serbia, Japan and Croatia. Frequent co-authors include Radan Džodić, Gordana Pupić, Igor Djurisic, Marko Buta, Zorka Inić, Zorka Milovanović, Snežana Jančić, Zorica D. Juranić, Boban Stanojević and Shunichi Yamashita. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Surgical Oncology, Process Biochemistry, Journal of Clinical Medicine and The Heart Surgery Forum.

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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