Beata Mickiewicz

1.3k citations
25 papers · 857 · h-index 14

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 12
    • Gut microbiota and health 3
    • Biochemical and Structural Characterization 3
    • Sepsis Diagnosis and Treatment 7

Beata Mickiewicz

25 papers receiving 850 citations

Peers

Beata Mickiewicz
Comparison fields: 5 of 100
  • Critical Care and Intensive Care Medicine 82
  • Physiology 229
  • Geriatrics and Gerontology 31
  • Epidemiology 265
  • Microbiology 46
Replace Qiyi Zeng with:
Qiyi Zeng China
Rajesh K. Aneja United States
Phuong Nhi Bories France
Jean‐Marie Grouin France
Claire Roubaud‐Baudron France
Sylvie Saivin France
Yuki Enoki Japan
Zui Zou China
Gerasimos Socrates Christodoulatos Greece
Yi Song China
Beata Mickiewicz relative to Qiyi Zeng China Qiyi Zeng's profile →
Citations per field
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Qiyi Zeng · 1×
Citations per year

Countries citing papers authored by Beata Mickiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Beata Mickiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013146
2 2018107
3 201895
4 201384
5 201576
6 201574
7 201454
8 201940
9 201537
10 201023
11 201420
12 201417
13 201014
14 201913
15 201812
16 200612
17 20217
18 20167
19 20075
20 20224

About Beata Mickiewicz

Beata Mickiewicz is a scholar working on Molecular Biology, Epidemiology, Critical Care and Intensive Care Medicine, Complementary and alternative medicine and Physiology, having authored 25 papers that have together received 857 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (12 papers), Sepsis Diagnosis and Treatment (7 papers), Traditional Chinese Medicine Studies (4 papers), Antimicrobial Peptides and Activities (4 papers), Gut microbiota and health (3 papers), Biochemical and Structural Characterization (3 papers), Thermal Regulation in Medicine (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (82 citations), Physiology (229 citations), Geriatrics and Gerontology (31 citations), Epidemiology (265 citations) and Microbiology (46 citations). Beata Mickiewicz has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Hans J. Vogel, Brent W. Winston, Hector R. Wong, Christopher J. Doig, Paul Kubes, Craig N. Jenne, Aalim M. Weljie, Gavin E. Duggan, Hans J. Vogel and Jane Shearer. Their work appears in journals such as Journal of Proteome Research, Journal of Peptide Science, Journal of Orthopaedic Research®, Critical Care and BioMetals.

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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