Izabela Miechowicz

57 papers receiving 436 citations

Peers

Izabela Miechowicz
Comparison fields: 5 of 108
  • Endocrine and Autonomic Systems 28
  • Genetics 42
  • Endocrinology, Diabetes and Metabolism 65
  • Health, Toxicology and Mutagenesis 46
  • Biological Psychiatry 6
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Peyvand Amini Iran
Dae Jin Kim South Korea
Myriam Abboud United Arab Emirates
Telma Maria Araújo Moura Lemos Brazil
Yuya Tamai Japan
Mehmet Kılıç Türkiye
Yinglong Bai China
María Fernández Fernández Spain
Lisa B. Yanoff United States
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Citations per year

Countries citing papers authored by Izabela Miechowicz

Since Specialization
Citations

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

Fields of papers citing papers by Izabela Miechowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202136
2 201432
3 202330
4 201623
5 201821
6 201821
7 201619
8 201818
9 201815
10 201614
11 201913
12 202312
13 202211
14 201411
15 202111
16 202010
17 201710
18 202010
19 202110
20 20229

About Izabela Miechowicz

Izabela Miechowicz is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 61 papers that have together received 440 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Medical Imaging Techniques and Applications (5 papers), Neuroscience of respiration and sleep (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Glioma Diagnosis and Treatment (4 papers), Neonatal Respiratory Health Research (4 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (28 citations), Genetics (42 citations), Endocrinology, Diabetes and Metabolism (65 citations), Health, Toxicology and Mutagenesis (46 citations) and Biological Psychiatry (6 citations). Izabela Miechowicz has collaborated with scholars based in Poland, United States and Canada. Frequent co-authors include Ewa Florek, Marta Napierała, Jan Mazela, Agata Czarnywojtek, T. Allen Merritt, Marek Ruchała, Bogdan Małkowski, Kosma Woliński, Małgorzata Zgorzalewicz-Stachowiak and Joanna Waligórska‐Stachura. Their work appears in journals such as Journal of Clinical Medicine, Scientific Reports, Free Radical Biology and Medicine, Cancers and Antioxidants.

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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