Anna Jasińska

715 citations
29 papers · 491 · h-index 12

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 4
    • Infective Endocarditis Diagnosis and Management 2
    • Pancreatitis Pathology and Treatment 4

Anna Jasińska

24 papers receiving 479 citations

Peers

Anna Jasińska
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 37
  • Industrial and Manufacturing Engineering 44
  • Cardiology and Cardiovascular Medicine 91
  • Epidemiology 133
  • Soil Science 36
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Yanjuan Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Anna Jasińska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Jasińska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201270
2 202263
3 201537
4 201031
5
Adipohormones as prognostric markers in patients with nonalcoholic steatohepatitis (NASH).
200931
6
ADIPOHORMONES AS PROGNOSTIC MARKERS IN PATIENTS WITH NONALCOHOLIC STEATOHEPATITIS (NASH)
200930
7 202328
8 202028
9 202227
10 201026
11 201224
12 201520
13 202011
14 202410
15 201710
16 201810
17 202010
18 20218
19
[Resistin-- a new laboratory marker useful in diagnosis of acute pancreatitis?].
20078
20 20223

About Anna Jasińska

Anna Jasińska is a scholar working on Epidemiology, Surgery, Cardiology and Cardiovascular Medicine, Industrial and Manufacturing Engineering and Building and Construction, having authored 29 papers that have together received 491 indexed citations. Recurring topics across this work include Anaerobic Digestion and Biogas Production (4 papers), Pancreatitis Pathology and Treatment (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Phosphorus and nutrient management (3 papers), Diet, Metabolism, and Disease (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (37 citations), Industrial and Manufacturing Engineering (44 citations), Cardiology and Cardiovascular Medicine (91 citations), Epidemiology (133 citations) and Soil Science (36 citations). Anna Jasińska has collaborated with scholars based in Poland, Belgium and Italy. Frequent co-authors include Mirosława Pietruczuk, Ewa Małecka‐Panas, Anna Grosser, Erik Meers, Piotr Daniel, M. Kacprzak, Piotr Kuna, Makandjou-Ola Eusebio, Andrzej Głąbiński and Daria Orszulak–Michalak. Their work appears in journals such as Energies, Nutrients, Gastroenterology Review, Renewable Energy and Energy Reports.

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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