Patrick De Mol

89 papers receiving 2.6k citations

Patrick De Mol's Hit Papers

YERSINIA ENTEROCOLITICA INFECTIONS AND PORK: THE MISSING LINK 1987 · 462 citations
4620+13+26Years since publication100200300400

Peers

Patrick De Mol
Comparison fields: 5 of 122
  • Molecular Medicine 335
  • Endocrinology 273
  • Applied Microbiology and Biotechnology 91
  • Periodontics 143
  • Pharmacology 249
Replace Stefania Zanetti with:
Stefania Zanetti Italy
Alain Lozniewski France
L. Dubreuil France
Elvira Garza‐González Mexico
Stefan Zimmermann Germany
Kunitomo Watanabe Japan
F. Jehl France
Jonathan H. Cove United Kingdom
S. P. Borriello United Kingdom
E. Anne Eady United Kingdom
Patrick De Mol relative to Stefania Zanetti Italy Stefania Zanetti's profile →
Citations per field
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Stefania Zanetti · 1×
Citations per year

Countries citing papers authored by Patrick De Mol

Since Specialization
Citations

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

Fields of papers citing papers by Patrick De Mol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick De Mol. 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 Patrick De Mol. The network helps show where Patrick De Mol may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
YERSINIA ENTEROCOLITICA INFECTIONS AND PORK: THE MISSING LINK
Hit paper breakdown →
1987462
2 2002201
3 2008118
4 2002100
5 200179
6 198577
7 201077
8 201277
9 199070
10 201268
11 200166
12 200162
13 201257
14 199952
15 201349
16 200249
17 198349
18 200543
19 202041
20 200040

About Patrick De Mol

Patrick De Mol is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology, Endocrinology and Pharmacology, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Malaria Research and Control (14 papers), Antibiotic Resistance in Bacteria (11 papers), Salmonella and Campylobacter epidemiology (8 papers), Bacterial Identification and Susceptibility Testing (8 papers), Neonatal and Maternal Infections (8 papers), Alkaloids: synthesis and pharmacology (8 papers), Vibrio bacteria research studies (7 papers) and Traditional and Medicinal Uses of Annonaceae (6 papers). The work is most often cited by research in Molecular Medicine (335 citations), Endocrinology (273 citations), Applied Microbiology and Biotechnology (91 citations), Periodontics (143 citations) and Pharmacology (249 citations). Patrick De Mol has collaborated with scholars based in Belgium, Democratic Republic of the Congo and France. Frequent co-authors include Luc Angenot, Michel Frédérich, Pierrette Melin, Marie‐Pierre Hayette, Steven M. Martin, Monique Tits, J. Vandepitte, Robert V. Tauxe, G. Wauters and R. Van Noyen. Their work appears in journals such as Planta Medica, Malaria Journal, The Lancet, Clinical Microbiology and Infection and PLoS ONE.

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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