Patrick De Mol

89 papers receiving 2.4k citations

Hit Papers

YERSINIA ENTEROCOLITICA INFECTIONS AND PORK: THE MISSING LINK 1987 · 463 citations
4631987202620002013100200300400

Peers

Patrick De Mol
Comparison fields: 5 of 126
  • Molecular Medicine 372
  • Endocrinology 334
  • Applied Microbiology and Biotechnology 122
  • Pharmacology 303
  • Infectious Diseases 545
Replace T Odugbemi with:
T Odugbemi Nigeria
Elvira Garza‐González Mexico
Alain Lozniewski France
L. Dubreuil France
Göte Swedberg Sweden
Stefan Zimmermann Germany
Adebayo Lamikanra Nigeria
S. P. Borriello United Kingdom
Bamidele Iwalokun Nigeria
C Carbon France
Patrick De Mol relative to T Odugbemi Nigeria T Odugbemi's profile →
Citations per field
00.5×3.9×
T Odugbemi · 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 90 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 →
1987463
2 2008118
3 2002100
4 200179
5 198577
6 201277
7 201076
8 199070
9 201268
10 200166
11 200162
12 201258
13 199952
14 201349
15 200249
16 198349
17 200543
18 202039
19 200039
20 201234

About Patrick De Mol

Patrick De Mol is a scholar working on Endocrinology, Molecular Medicine, Applied Microbiology and Biotechnology, Pharmacology and Clinical Biochemistry, having authored 90 papers that have together received 2.5k indexed citations. Recurring topics across this work include Malaria Research and Control (16 papers), Antibiotic Resistance in Bacteria (12 papers), Vibrio bacteria research studies (9 papers), Salmonella and Campylobacter epidemiology (9 papers), Bacterial Identification and Susceptibility Testing (9 papers), Traditional and Medicinal Uses of Annonaceae (8 papers), Neonatal and Maternal Infections (8 papers) and Alkaloids: synthesis and pharmacology (8 papers). The work is most often cited by research in Molecular Medicine (372 citations), Endocrinology (334 citations), Applied Microbiology and Biotechnology (122 citations), Pharmacology (303 citations) and Infectious Diseases (545 citations). Patrick De Mol has collaborated with scholars based in Belgium, Democratic Republic of the Congo and France. Frequent co-authors include Michel Frédérich, Luc Angenot, Pierrette Melin, Marie‐Pierre Hayette, G Thiers, J. Vandepitte, Monique Tits, G. Wauters, Robert V. Tauxe and Steven M. Martin. Their work appears in journals such as Planta Medica, Malaria Journal, Clinical Microbiology and Infection, The Lancet and Journal of Ethnopharmacology.

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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