Marković Ivan

48 papers receiving 1.1k citations

Peers

Marković Ivan
Comparison fields: 5 of 88
  • Oncology 535
  • Cancer Research 104
  • Endocrinology, Diabetes and Metabolism 114
  • Infectious Diseases 99
  • Surgery 152
Replace Igor Djurisic with:
Igor Djurisic Serbia
Marko Buta Serbia
Justin S. Gundara Australia
R S Prichard Ireland
Piero Fregatti Italy
Bülent Koçer Türkiye
Paloma Martín-Martorell Spain
Zorka Momcilo Inic Serbia
Mark Kitchen United Kingdom
Deepa Nair India
Marković Ivan relative to Igor Djurisic Serbia Igor Djurisic's profile →
Citations per field
00.5×1.7×
Igor Djurisic · 1×
Citations per year

Countries citing papers authored by Marković Ivan

Since Specialization
Citations

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

Fields of papers citing papers by Marković Ivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021218
2 2020170
3 2014134
4 202098
5 202056
6 202247
7 202244
8 200839
9 202033
10
Surgical anatomy of the pyramidal lobe and its significance in thyroid surgery.
201132
11 201131
12 201230
13 201126
14 202126
15 201524
16 202021
17 201019
18 201416
19 202416
20 202314

About Marković Ivan

Marković Ivan is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Oncology, Surgery and Pathology and Forensic Medicine, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (16 papers), Breast Cancer Treatment Studies (11 papers), Thyroid and Parathyroid Surgery (9 papers), COVID-19 and healthcare impacts (8 papers), Breast Lesions and Carcinomas (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Intraperitoneal and Appendiceal Malignancies (1 paper) and Protease and Inhibitor Mechanisms (1 paper). The work is most often cited by research in Oncology (535 citations), Cancer Research (104 citations), Endocrinology, Diabetes and Metabolism (114 citations), Infectious Diseases (99 citations) and Surgery (152 citations). Marković Ivan has collaborated with scholars based in Serbia, France and United Kingdom. Frequent co-authors include Radan R Džodić, Igor Djurisic, Gordana Pupić, Marko Buta, Zorka Momcilo Inic, Zorka Milovanović, Snežana Jančić, Zorica D. Juranić, Shunichi Yamashita and Vladimir Saenko. Their work appears in journals such as European Journal of Surgical Oncology, British journal of surgery, The Lancet, The Lancet Oncology and Annals of Nuclear Medicine.

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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