Osman Dağ

616 citations
42 papers · 384 · h-index 10

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 8
    • Statistical Methods in Clinical Trials 4
    • Advanced Statistical Methods and Models 3
    • Statistical Methods and Inference 3
    • Statistical Distribution Estimation and Applications 3
    • Nasal Surgery and Airway Studies 2

Osman Dağ

35 papers receiving 362 citations

Peers

Osman Dağ
Comparison fields: 5 of 144
  • Applied Microbiology and Biotechnology 13
  • Molecular Medicine 19
  • Orthopedics and Sports Medicine 23
  • Nature and Landscape Conservation 29
  • Statistics and Probability 19
Replace Caio Sain Vallio with:
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Osman Dağ relative to Caio Sain Vallio Brazil Caio Sain Vallio's profile →
Citations per field
00.5×9.5×
Caio Sain Vallio · 1×
Citations per year

Countries citing papers authored by Osman Dağ

Since Specialization
Citations

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

Fields of papers citing papers by Osman Dağ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 201449
3 202131
4 201626
5 202221
6 201319
7
Comparison of thiol/disulphide homeostasis parameters in patients with COPD, asthma and ACOS.
201616
8 201914
9 202012
10 20229
11 20169
12 20218
13 20197
14 20224
15 20214
16 20234
17 20203
18 20213
19 20233
20 20183

About Osman Dağ

Osman Dağ is a scholar working on Statistics and Probability, Surgery, Psychiatry and Mental health, Pharmacology and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 384 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (8 papers), Statistical Methods in Clinical Trials (4 papers), Advanced Statistical Methods and Models (3 papers), Statistical Methods and Inference (3 papers), Statistical Distribution Estimation and Applications (3 papers), Statistical and Computational Modeling (3 papers), Child Nutrition and Feeding Issues (2 papers) and Nasal Surgery and Airway Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (13 citations), Molecular Medicine (19 citations), Orthopedics and Sports Medicine (23 citations), Nature and Landscape Conservation (29 citations) and Statistics and Probability (19 citations). Osman Dağ has collaborated with scholars based in Türkiye, United States and Australia. Frequent co-authors include Anıl Dolgun, Özlem İlk, Özgür Asar, Ceylan Yozgatlıgil, Volga Bayrakçı Tunay, Reha Alpar, Erdem Karabulut, Murat Akova, Abdullah Tarık Aslan and Samaradasa Weerahandi. Their work appears in journals such as International Journal of Antimicrobial Agents, Journal of Craniofacial Surgery, The R Journal, SoftwareX and Journal of Cystic Fibrosis.

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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