Darko Antić

3.5k citations
98 papers · 875 · h-index 14

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments

Papers in

Darko Antić

85 papers receiving 859 citations

Peers

Darko Antić
Comparison fields: 5 of 64
  • Internal Medicine 265
  • Hematology 280
  • Genetics 170
  • Pathology and Forensic Medicine 186
  • Emergency Medical Services 58
Replace Ho‐Young Yhim with:
Ho‐Young Yhim South Korea
A. Weltermann Austria
Rekha Parameswaran United States
Kathleen Jentsch‐Ullrich Germany
Hamed Daw United States
Marietta Kollars Austria
Anjali Sharathkumar United States
Kristen M. Sanfilippo United States
Annette Poon Canada
Orly Leiva United States
Darko Antić relative to Ho‐Young Yhim South Korea Ho‐Young Yhim's profile →
Citations per field
00.5×1.5×2.4×
Ho‐Young Yhim · 1×
Citations per year

Countries citing papers authored by Darko Antić

Since Specialization
Citations

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

Fields of papers citing papers by Darko Antić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019106
2 201271
3 201663
4 201754
5 201634
6 201527
7 200826
8 202125
9 201524
10 202022
11 202217
12 201017
13 202016
14 201715
15 201313
16 201713
17 201513
18 201212
19 201112
20 201012

About Darko Antić

Darko Antić is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Oncology and Internal Medicine, having authored 98 papers that have together received 875 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (25 papers), Venous Thromboembolism Diagnosis and Management (16 papers), Chronic Lymphocytic Leukemia Research (13 papers), Acute Myeloid Leukemia Research (12 papers), Multiple Myeloma Research and Treatments (10 papers), CNS Lymphoma Diagnosis and Treatment (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers) and Viral-associated cancers and disorders (7 papers). The work is most often cited by research in Internal Medicine (265 citations), Hematology (280 citations), Genetics (170 citations), Pathology and Forensic Medicine (186 citations) and Emergency Medical Services (58 citations). Darko Antić has collaborated with scholars based in Serbia, United States and France. Frequent co-authors include Biljana Mihaljević, Jelena Bila, Ivo Elezović, Milena Todorović, Vojin Vuković, Marc Carrier, Bosko Andjelic, Jelena Jelicic, Cihan Ay and Guy Meyer. Their work appears in journals such as Blood, International Journal of Molecular Sciences, Medical Oncology, Journal of Thrombosis and Haemostasis and Thrombosis Research.

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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