Michelle Krakowski

1.8k citations
15 papers · 1.5k indexed · h-index 12
Topics
T-cell and B-cell Immunology (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)Diabetes and associated disorders (4 papers)

In The Last Decade

Michelle Krakowski

15 papers receiving 1.5k citations

Peers

Michelle Krakowski
Comparison fields: 5 of 83
  • Immunology 815
  • Neurology 390
  • Oncology 364
  • Pathology and Forensic Medicine 270
  • Molecular Biology 259
Replace Samantha L. Bailey with:
Samantha L. Bailey United States
Annet F. Wierenga‐Wolf Netherlands
G Hermans Belgium
R. M. Ransohoff United States
Sandrine Pouly Switzerland
Ralf Gold Germany
Christopher Harp United States
Eileen McMahon United States
Franziska Petermann Germany
J.K. O'Neill United Kingdom
Michelle Krakowski relative to Samantha L. Bailey United States Samantha L. Bailey's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Michelle Krakowski

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Krakowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Krakowski

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Krakowski. A scholar is included among the top collaborators of Michelle Krakowski 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 Michelle Krakowski. Michelle Krakowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 13
2
The effect of early immunization of sucking rabbits on the development of trichophytosis in infected farms
1
3 38
4
Alopevac vaccine in prophylactics and controlling trichophytosis in rabbits.
4
5 4
6 61
7 81
8 101
9 90
10 35
11 90
12 90
13 407
14 334
15 144

About Michelle Krakowski

Michelle Krakowski is a scholar working on Neurology, Equine and Developmental Neuroscience, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Neurology (390 citations), Immunology (815 citations) and Developmental Neuroscience (93 citations). Michelle Krakowski has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Trevor Owens, Toufic Renno, Ciriaco A. Piccirillo, Jiangkai Lin, Véronique Taupin, Nora Sarvetnick, Troy Krahl, Elise Tran, M. Didier‐Bazes and Hélène Hardin‐Pouzet. Their work appears in journals such as The Journal of Immunology, American Journal Of Pathology and European Journal of Immunology.

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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