Ipek Guler

38 papers receiving 462 citations

Peers

Ipek Guler
Comparison fields: 5 of 77
  • Internal Medicine 27
  • Clinical Biochemistry 37
  • Transplantation 10
  • Cardiology and Cardiovascular Medicine 79
  • Critical Care and Intensive Care Medicine 16
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Roberto Simeone Italy
Robert R. Quickel United States
Ahmet Duran Demir Türkiye
Orçun Altunören Türkiye
Marc C. Smaldone United States
Andrea Airoldi Italy
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Citations per year

Countries citing papers authored by Ipek Guler

Since Specialization
Citations

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

Fields of papers citing papers by Ipek Guler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202175
2 202048
3 202242
4 202236
5 202224
6 202120
7 202018
8 201415
9 202114
10 202014
11 201911
12 201911
13 202211
14 202011
15 202110
16
Predictive power of early-warning scores used in hospital emergency departments: a systematic review and meta-analysis.
20219
17 20189
18 20229
19 20219
20 20228

About Ipek Guler

Ipek Guler is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability, Psychiatry and Mental health, Epidemiology and Surgery, having authored 40 papers that have together received 466 indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Diabetes Treatment and Management (3 papers), Statistical Methods in Clinical Trials (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Statistical Methods and Bayesian Inference (2 papers), Sepsis Diagnosis and Treatment (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Transplantation: Methods and Outcomes (2 papers). The work is most often cited by research in Internal Medicine (27 citations), Clinical Biochemistry (37 citations), Transplantation (10 citations), Cardiology and Cardiovascular Medicine (79 citations) and Critical Care and Intensive Care Medicine (16 citations). Ipek Guler has collaborated with scholars based in Spain, Belgium and United States. Frequent co-authors include Raul Miguel Luque, José López‐Miranda, Carmén Cadarso-Suárez, Keir R.G. McCutcheon, Philippe Meersseman, Alain Combes, Christophe Dubois, Elena M. Yubero‐Serrano, Peter Sinnaeve and Irene Roncero‐Ramos. Their work appears in journals such as Molecular Nutrition & Food Research, Journal of Clinical Medicine, Prostate Cancer and Prostatic Diseases, Archives of Oral Biology and The Journal of Clinical Endocrinology & Metabolism.

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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