Roman Junik

1.8k total citations
112 papers, 946 citations indexed

About

Roman Junik is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology. According to data from OpenAlex, Roman Junik has authored 112 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Epidemiology and 17 papers in Physiology. Recurrent topics in Roman Junik's work include Thyroid Disorders and Treatments (22 papers), Thyroid Cancer Diagnosis and Treatment (15 papers) and Metabolism, Diabetes, and Cancer (13 papers). Roman Junik is often cited by papers focused on Thyroid Disorders and Treatments (22 papers), Thyroid Cancer Diagnosis and Treatment (15 papers) and Metabolism, Diabetes, and Cancer (13 papers). Roman Junik collaborates with scholars based in Poland, United States and Italy. Roman Junik's co-authors include Marcin Gierach, Alina Borkowska, Maciej Bieliński, Anna Kamińska, Ewa Kopczyńska, Marek Koziński, Agata Bronisz, Tomasz Tyrakowski, Andrzej Tretyn and Marcin Sikora and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and International Journal of Molecular Sciences.

In The Last Decade

Roman Junik

105 papers receiving 905 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roman Junik Poland 16 419 173 151 123 119 112 946
Huibin Huang China 16 276 0.7× 119 0.7× 139 0.9× 130 1.1× 174 1.5× 90 902
Deepak Khandelwal India 14 509 1.2× 100 0.6× 185 1.2× 83 0.7× 112 0.9× 67 868
Lingling Xu China 16 342 0.8× 218 1.3× 192 1.3× 149 1.2× 219 1.8× 77 983
Mona Nasrallah Lebanon 18 447 1.1× 164 0.9× 200 1.3× 179 1.5× 103 0.9× 54 1.1k
Cathy C. Lee United States 13 431 1.0× 128 0.7× 221 1.5× 58 0.5× 208 1.7× 27 969
David P. Macfarlane United Kingdom 13 396 0.9× 145 0.8× 205 1.4× 111 0.9× 156 1.3× 23 815
Torben Leo Nielsen Denmark 19 318 0.8× 109 0.6× 154 1.0× 74 0.6× 245 2.1× 37 962
Ali Zandieh Iran 20 235 0.6× 344 2.0× 178 1.2× 118 1.0× 130 1.1× 51 979
Antje Steveling Germany 18 419 1.0× 164 0.9× 284 1.9× 172 1.4× 204 1.7× 47 1.1k
José Rodrı́guez-Espinosa Spain 18 512 1.2× 145 0.8× 161 1.1× 299 2.4× 150 1.3× 55 1.2k

Countries citing papers authored by Roman Junik

Since Specialization
Citations

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

Fields of papers citing papers by Roman Junik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Junik

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Junik. A scholar is included among the top collaborators of Roman Junik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roman Junik. Roman Junik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Junik, Roman, et al.. (2024). The Role of Probiotics in Managing Metabolic-Associated Fatty Liver Disease: An Updated Review. Current Research in Nutrition and Food Science Journal. 12(2). 490–501. 3 indexed citations
2.
Krintus, Magdalena, et al.. (2023). Prevalence and Crucial Parameters in Diabesity-Related Liver Fibrosis: A Preliminary Study. Journal of Clinical Medicine. 12(24). 7760–7760. 5 indexed citations
3.
Junik, Roman, et al.. (2023). ChatGPT fails the Internal Medicine State Specialization Exam in Poland: artificial intelligence still has much to learn. Polskie Archiwum Medycyny Wewnętrznej. 133(11). 2 indexed citations
4.
Navarese, Eliano Pio, Paul A. Gurbel, Eleonora Ruscio, et al.. (2023). PCSK9 Inhibition During the Inflammatory Stage of SARS-CoV-2 Infection. Journal of the American College of Cardiology. 81(3). 224–234. 41 indexed citations
6.
Pańczyk-Tomaszewska, Małgorzata, et al.. (2017). Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population. SHILAP Revista de lepidopterología. 4 indexed citations
7.
Bronisz, Agata, Marek Koziński, Tomasz Fabiszak, et al.. (2012). Stress hyperglycaemia in patients with first myocardial infarction. International Journal of Clinical Practice. 66(6). 592–601. 11 indexed citations
8.
Gierach, Marcin & Roman Junik. (2012). Hashimoto thyroiditis and carbohydrate metabolism disorders in patients hospitalized in Department of Endocrinology and Diabetology of Ludwik Rydygier Collegium Medicum in Bydgoszcz between 2001 and 2010. 15th International & 14th European Congress of Endocrinology. 29. 2 indexed citations
9.
Kamińska, Anna, et al.. (2011). Diabetes insipidus in the diagnosis of polyuria. Via Medica Journals. 10. 111–114.
10.
Gierach, Marcin, et al.. (2010). Aberrations in carbohydrate metabolism in patients with diagnosed acromegaly, hospitalized in the Endocrinology and Diabetology Department of Collegium Medicum University of Nicolaus Copernicus in Bydgoszcz in the years 2001-2009.. PubMed. 61(3). 260–3. 5 indexed citations
11.
Bronisz, Agata, et al.. (2009). Glikemia przy przyjęciu a śmiertelność wewnątrzszpitalna i długoletnia u pacjentów hospitalizowanych z przyczyn innych niż nagłe stany zagrożenia życia. Clinical Diabetology. 10(6). 234–239. 1 indexed citations
12.
Bieliński, Maciej, et al.. (2009). Zaburzenia pamięci operacyjnej, funkcji wykonawczych i objawy depresji u osób z patologiczną otyłością. Psychiatria. 6(1). 9–14. 2 indexed citations
13.
Bronisz, Agata, et al.. (2007). An evaluation of selected lipid parameters in pregnancy complicated by gestational diabetes mellitus (Part 2): differences resulting from the method of treatment. 7(6). 296–299. 2 indexed citations
14.
Bronisz, Agata, et al.. (2007). Evoked potentials in the diagnostics of central nervous system disorders in diabetic patients. 7(2). 89–95.
15.
Bronisz, Agata, et al.. (2005). [Assessment of selected factors influencing birthweight in pregnant women with gestational diabetes mellitus].. PubMed. 76(12). 949–54. 3 indexed citations
16.
Junik, Roman. (2004). The relation between depression and diabetes. Clinical Diabetology. 5(3). 143–145. 1 indexed citations
17.
Bronisz, Agata, et al.. (2003). Poprawa jakości życia w wyniku edukacji niewidomych chorych na cukrzycę. Clinical Diabetology. 4(3). 179–184. 1 indexed citations
18.
Koziński, Marek, et al.. (2003). Quality of life in patients with differentiated thyroid cancers. 2(4). 221–226.
19.
Ruchała, Marek, et al.. (1993). The results of epidemiological studies concerning iodine deficiency and goiter in Poznań Region (Poznań coordinating center).. PubMed. 44(3). 317–32. 2 indexed citations
20.
Junik, Roman, et al.. (1989). [Effect of intravenous methimazole on serum levels of thyroid hormones in patients with hyperthyroidism resistant to oral thyrostatic drugs].. PubMed. 40(6). 307–13. 2 indexed citations

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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