Jan Jacobs

257 papers receiving 6.9k citations

Peers

Jan Jacobs
Comparison fields: 5 of 169
  • Applied Microbiology and Biotechnology 738
  • Molecular Medicine 924
  • Endocrinology 788
  • Parasitology 595
  • Clinical Biochemistry 564
Replace Yen‐Hsu Chen with:
Yen‐Hsu Chen Taiwan
Jens Kjølseth Møller Denmark
Albert Sotto France
Anne‐Catrin Uhlemann United States
Direk Limmathurotsakul Thailand
Henrik Carl Schønheyder Denmark
Irving Nachamkin United States
Nina Langeland Norway
Guy Thwaites United Kingdom
Gordon M. Trenholme United States
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Citations per year

Countries citing papers authored by Jan Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Jan Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 265 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002291
2 2005220
3 2004171
4 2013162
5 2004160
6 2011136
7 2009126
8 2018118
9 2015113
10 2013112
11 2012103
12 200596
13 201995
14 202091
15 200889
16 201182
17 201379
18 201176
19 201373
20 201073

About Jan Jacobs

Jan Jacobs is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Endocrinology, Drug Discovery and Clinical Biochemistry, having authored 265 papers that have together received 7.1k indexed citations. Recurring topics across this work include Malaria Research and Control (56 papers), Mosquito-borne diseases and control (51 papers), Antibiotic Resistance in Bacteria (48 papers), Salmonella and Campylobacter epidemiology (45 papers), Bacterial Identification and Susceptibility Testing (40 papers), Vibrio bacteria research studies (39 papers), Antibiotic Use and Resistance (27 papers) and Streptococcal Infections and Treatments (23 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (738 citations), Molecular Medicine (924 citations), Endocrinology (788 citations), Parasitology (595 citations) and Clinical Biochemistry (564 citations). Jan Jacobs has collaborated with scholars based in Belgium, Netherlands and Democratic Republic of the Congo. Frequent co-authors include Philippe Gillet, Marjan Van Esbroeck, Jessica Maltha, Lieselotte Cnops, Wim A. Buurman, Emmanuel Bottieau, Emiel F.�M. Wouters, Marjolein Drent, Juanita H. J. Vernooy and Erika Vlieghe. Their work appears in journals such as Malaria Journal, PLoS neglected tropical diseases, PLoS ONE, Clinical Microbiology and Infection and European Journal of Clinical Microbiology & Infectious Diseases.

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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