M Obradović

916 citations
46 papers · 680 · h-index 18

Impact in

  • Epidemiology top 10%
    • Mycobacterium research and diagnosis
    • Cervical Cancer and HPV Research
    • Infectious Diseases and Mycology

Papers in

    • Mycobacterium research and diagnosis 18
    • Cervical Cancer and HPV Research 4
    • Liver Disease Diagnosis and Treatment 2
    • Herpesvirus Infections and Treatments 2
    • Tuberculosis Research and Epidemiology 3

M Obradović

40 papers receiving 644 citations

Peers

M Obradović
Comparison fields: 5 of 90
  • Epidemiology 267
  • Small Animals 39
  • Anesthesiology and Pain Medicine 25
  • Infectious Diseases 84
  • Hepatology 31
Replace Ming‐Luen Hu with:
Ming‐Luen Hu Taiwan
Jean–Paul Fillastre France
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S. G. Flavell Matts United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by M Obradović

Since Specialization
Citations

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

Fields of papers citing papers by M Obradović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199878
2 201663
3 202357
4 202147
5
Determinants of long term survival after surgery for cancer of the lung: A population-based study.
199945
6 199038
7 200837
8 200732
9 197526
10 202026
11 201824
12 201223
13 202121
14 202020
15 200619
16 201219
17 202217
18 201017
19
[A case control study for the evaluation of the cytological detection of cancer of the cervix].
198411
20 20219

About M Obradović

M Obradović is a scholar working on Epidemiology, Infectious Diseases, Surgery, Physiology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 680 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (18 papers), Cervical Cancer and HPV Research (4 papers), Pain Mechanisms and Treatments (3 papers), Tuberculosis Research and Epidemiology (3 papers), Opioid Use Disorder Treatment (3 papers), Quinazolinone synthesis and applications (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Epidemiology (267 citations), Small Animals (39 citations), Anesthesiology and Pain Medicine (25 citations), Infectious Diseases (84 citations) and Hepatology (31 citations). M Obradović has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Aleš Mrhar, Mitja Kos, Roald van der Laan, Jakko van Ingen, Hiltrud Liedgens, Michael R. Loebinger, Jacques Estève, Jean Faivre, Milena Sant and D Forman. Their work appears in journals such as Value in Health, Clinical Therapeutics, ClinicoEconomics and Outcomes Research, BMC Pulmonary Medicine and Phytochemical Analysis.

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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