Anna Lisowska

2.7k citations
108 papers · 1.2k · h-index 20

Impact in

Papers in

Anna Lisowska

94 papers receiving 1.1k citations

Peers

Anna Lisowska
Comparison fields: 5 of 111
  • Animal Science and Zoology 247
  • Infectious Diseases 263
  • Cardiology and Cardiovascular Medicine 223
  • Internal Medicine 21
  • Epidemiology 139
Replace Yuki Matsushima with:
Yuki Matsushima Japan
Yongquan Wu China
Anna Rieger Germany
Harish Changotra India
Jingjing Liu China
Jialu Wang China
Anping Wang China
Maura Carrai Italy
Jichun Wang China
Alex Chin Canada
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Citations per field
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Citations per year

Countries citing papers authored by Anna Lisowska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Lisowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201361
2 201659
3
Plasma sphingosine-1-phosphate concentration is reduced in patients with myocardial infarction.
200959
4
Anti-inflammatory effects of atorvastatin treatment in chronic obstructive pulmonary disease. A controlled pilot study.
201545
5 201538
6 201836
7 201834
8 201433
9 201731
10 201831
11 201128
12 201228
13 201228
14 200827
15 202126
16 201624
17 202024
18 201322
19 202022
20
Bats on forest islands of different size in an agricultural landscape
200721

About Anna Lisowska

Anna Lisowska is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Pulmonary and Respiratory Medicine, Animal Science and Zoology and Surgery, having authored 108 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (15 papers), Viral gastroenteritis research and epidemiology (13 papers), Cardiac tumors and thrombi (6 papers), Virology and Viral Diseases (6 papers), Sphingolipid Metabolism and Signaling (5 papers), Cardiac Structural Anomalies and Repair (5 papers), Pulmonary Hypertension Research and Treatments (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Animal Science and Zoology (247 citations), Infectious Diseases (263 citations), Cardiology and Cardiovascular Medicine (223 citations), Internal Medicine (21 citations) and Epidemiology (139 citations). Anna Lisowska has collaborated with scholars based in Poland, United States and Netherlands. Frequent co-authors include Włodzimierz J. Musiał, Małgorzata Knapp, Katarzyna Domańska-Blicharz, Anna Pikuła, Marcin Baranowski, Agnieszka Tycińska, Zenon Minta, Karol Kamiński, Bożena Sobkowicz and Piotr Zabielski. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Clinical Medicine, Pathogens, Avian Pathology and Viruses.

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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