Jan Michiels

362 papers receiving 13.6k citations

Jan Michiels's Hit Papers

Bacterial persistence promotes the evolution of antibiotic resistance by increasing survival and mutation rates 2019 · 248 citations
2480+2+4Years since publication50100150200

Peers

Jan Michiels
Comparison fields: 5 of 183
  • Molecular Medicine 1.6k
  • Hematology 3.0k
  • Genetics 2.7k
  • Endocrinology 1.1k
  • Internal Medicine 458
Replace Arturo Zychlinsky with:
Arturo Zychlinsky Germany
Victor Nizet United States
Volker Brinkmann Germany
Peter M. Henson United States
Carl T. Wittwer United States
Terje Espevik Norway
Jan Potempa Poland
Kouji Matsushima Japan
Jacques Élion France
Dirk Roos Netherlands
Jan Michiels relative to Arturo Zychlinsky Germany Arturo Zychlinsky's profile →
Citations per field
00.5×6.3×
Arturo Zychlinsky · 1×
Citations per year

Countries citing papers authored by Jan Michiels

Since Specialization
Citations

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

Fields of papers citing papers by Jan Michiels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 371 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003444
2 2008377
3 2011320
4 2017280
5
Bacterial persistence promotes the evolution of antibiotic resistance by increasing survival and mutation rates
Hit paper breakdown →
2019248
6 2015233
7 2016198
8 1985188
9 2005172
10 2018167
11 2014164
12 2002159
13 2011159
14 2014150
15 2007143
16 2019142
17 2006139
18 1997132
19 2016131
20 2003130

About Jan Michiels

Jan Michiels is a scholar working on Molecular Biology, Hematology, Genetics, Genetics and Plant Science, having authored 371 papers that have together received 14.2k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (86 papers), Platelet Disorders and Treatments (67 papers), Legume Nitrogen Fixing Symbiosis (57 papers), Bacterial Genetics and Biotechnology (56 papers), Antibiotic Resistance in Bacteria (37 papers), Bacterial biofilms and quorum sensing (33 papers), Kruppel-like factors research (32 papers) and Plant nutrient uptake and metabolism (28 papers). The work is most often cited by research in Molecular Medicine (1.6k citations), Hematology (3.0k citations), Genetics (2.7k citations), Endocrinology (1.1k citations) and Internal Medicine (458 citations). Jan Michiels has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Maarten Fauvart, Jos Vanderleyden, Natalie Verstraeten, Bram Van den Bergh, Perry J.J. van Genderen, Ruth Daniels, Huub H.D.M. van Vliet, Wilfried Schroyens, Zwi Berneman and Joran Michiels. Their work appears in journals such as Seminars in Thrombosis and Hemostasis, Acta Haematologica, Antimicrobial Agents and Chemotherapy, Thrombosis and Haemostasis and Annals of Hematology.

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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