William Perucki

1.0k citations
26 papers · 759 · 1 hit paper · h-index 12

Impact in

Papers in

William Perucki

23 papers receiving 751 citations

William Perucki's Hit Papers

Clostridium difficile infection: review 2019 · 458 citations
4580+2+4Years since publication100200300400

Peers

William Perucki
Comparison fields: 5 of 89
  • Infectious Diseases 463
  • Critical Care and Intensive Care Medicine 93
  • Gastroenterology 65
  • Epidemiology 258
  • Hematology 55
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Georgia Damoraki Greece
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Citations per year

Countries citing papers authored by William Perucki

Since Specialization
Citations

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

Fields of papers citing papers by William Perucki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clostridium difficile infection: review
Hit paper breakdown →
2019458
2 201440
3 201435
4 201532
5
The role of local and systemic cytokines in patients infected with Clostridium difficile.
201431
6 201523
7 201417
8 201517
9 201417
10 201416
11 201515
12 201714
13 201511
14 20178
15 20167
16 20185
17 20144
18 20212
19 20192
20 20222

About William Perucki

William Perucki is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology and Nutrition and Dietetics, having authored 26 papers that have together received 759 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (7 papers), Microscopic Colitis (5 papers), Fatty Acid Research and Health (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Cardiac Arrest and Resuscitation (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Infectious Diseases (463 citations), Critical Care and Intensive Care Medicine (93 citations), Gastroenterology (65 citations), Epidemiology (258 citations) and Hematology (55 citations). William Perucki has collaborated with scholars based in Poland, United States and Netherlands. Frequent co-authors include Jacek Czepiel, Grażyna Biesiada, Aleksander Garlicki, M Dróźdź, Dorota Wultańska, Hanna Pituch, Sarah Goldman, Ed J. Kuijper, Artur Jurczyszyn and Joanna Gdula‐Argasińska. Their work appears in journals such as Pharmacological Reports, Journal of Cancer, Leukemia Research, Journal of Nuclear Cardiology and Microbial Pathogenesis.

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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