Michał Kukla

3.0k total citations
115 papers, 2.2k citations indexed

About

Michał Kukla is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Michał Kukla has authored 115 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Epidemiology, 24 papers in Physiology and 23 papers in Molecular Biology. Recurrent topics in Michał Kukla's work include Liver Disease Diagnosis and Treatment (43 papers), Adipokines, Inflammation, and Metabolic Diseases (20 papers) and Adipose Tissue and Metabolism (13 papers). Michał Kukla is often cited by papers focused on Liver Disease Diagnosis and Treatment (43 papers), Adipokines, Inflammation, and Metabolic Diseases (20 papers) and Adipose Tissue and Metabolism (13 papers). Michał Kukla collaborates with scholars based in Poland, Croatia and Germany. Michał Kukla's co-authors include K Zwirska-Korczala, Rafał Jakub Bułdak, Agnieszka Berdowska, Renata Polaniak, Marek Hartleb, Łukasz Bułdak, Marek Waluga, Zofia Piotrowska‐Seget, Tomasz Płociniczak and Włodzimierz Mazur and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemosphere.

In The Last Decade

Michał Kukla

111 papers receiving 2.1k citations

Peers

Michał Kukla
Comparison fields: 5 of 128
  • Epidemiology 944
  • Physiology 477
  • Molecular Biology 438
  • Hepatology 288
  • Endocrine and Autonomic Systems 260
Replace Carmen Aguilar with:
Carmen Aguilar Spain
Antonios Chatzigeorgiou Greece
Rongze Yang United States
Hyun Jin Kim South Korea
Huijie Zhang China
Vanessa Souza‐Mello Brazil
Qing Zhu China
Neslihan Bukan Türkiye
Mukaddes Eşrefoğlu Türkiye
Afia Naaz United States
Carmen Aguilar Spain View profile →
Citations per field, relative to Michał Kukla
Michał Kukla · 1×
Citations per year, relative to Michał Kukla
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Countries citing papers authored by Michał Kukla

Since Specialization
Citations

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

Fields of papers citing papers by Michał Kukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Kukla

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Kukla. A scholar is included among the top collaborators of Michał Kukla 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 Michał Kukla. Michał Kukla 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
# Work Indexed citations
1 0
2 0
3 1
4 0
5 0
6 5
7 2
8 21
9 23
10 2
11 15
12 81
13 30
14 6
15 2
16 2
17 18
18
Vascular endothelial growth factor (VEGF) liver tissue concentration in delayed stages of rat liver regeneration upon interferon α2b influence
1
19
Wisfatyna — enzym, cytokina czy adipokina? Funkcje biologiczne wisfatyny in vitro
2
20
Basal and postprandial plasma levels of PYY, ghrelin, cholecystokinin, gastrin and insulin in women with moderate and morbid obesity and metabolic syndrome.
132

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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