Max Heck
Impact in
- Infectious Diseases top 1%
- Antimicrobial Resistance in Staphylococcus
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antimicrobial Resistance in Staphylococcus 23
- Food Science 23
- Salmonella and Campylobacter epidemiology 23
- Co-authors
- Wim J. B. Wannet (11 shared papers)Jan A. J. W. Kluytmans (10 shared papers)Wilfrid van Pelt (16 shared papers)Gerlinde N. Pluister (8 shared papers)Emile C. Spalburg (8 shared papers)Engeline van Duijkeren (6 shared papers)Albert J. de Neeling (7 shared papers)Xander W. Huijsdens (6 shared papers)
- Journals
- Eurosurveillance (12 papers)Journal of Clinical Microbiology (11 papers)Veterinary Microbiology (4 papers)Epidemiology and Infection (4 papers)Clinical Microbiology and Infection (3 papers)
- Partner nations
- NetherlandsSwedenGermany
In The Last Decade
Max Heck
58 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 1.6k
- Molecular Medicine 521
- Applied Microbiology and Biotechnology 163
- Endocrinology 209
- Food Science 852
Countries citing papers authored by Max Heck
This map shows the geographic impact of Max Heck'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 Max Heck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Heck more than expected).
Fields of papers citing papers by Max Heck
This network shows the impact of papers produced by Max Heck. 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 Max Heck. The network helps show where Max Heck may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Heck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 313 | |
| 2 | 2012 | 222 | |
| 3 | 2004 | 171 | |
| 4 | 1995 | 167 | |
| 5 | 2016 | 167 | |
| 6 | 2016 | 139 | |
| 7 | 2009 | 138 | |
| 8 | 2004 | 131 | |
| 9 | 2014 | 116 | |
| 10 | 2008 | 101 | |
| 11 | 2012 | 100 | |
| 12 | 2016 | 99 | |
| 13 | 1999 | 97 | |
| 14 | 2005 | 97 | |
| 15 | 2006 | 90 | |
| 16 | 2012 | 87 | |
| 17 | 2005 | 86 | |
| 18 | 2005 | 77 | |
| 19 | 2017 | 61 | |
| 20 | 2004 | 58 |
About Max Heck
Max Heck is a scholar working on Infectious Diseases, Food Science, Endocrinology, Molecular Medicine and Biotechnology, having authored 59 papers that have together received 3.6k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (23 papers), Antimicrobial Resistance in Staphylococcus (23 papers), Antibiotic Resistance in Bacteria (6 papers), Escherichia coli research studies (5 papers), Legionella and Acanthamoeba research (1 paper) and Listeria monocytogenes in Food Safety (1 paper). The work is most often cited by research in Infectious Diseases (1.6k citations), Molecular Medicine (521 citations), Applied Microbiology and Biotechnology (163 citations), Endocrinology (209 citations) and Food Science (852 citations). Max Heck has collaborated with scholars based in Netherlands, Sweden and Germany. Frequent co-authors include Wim J. B. Wannet, Jan A. J. W. Kluytmans, Wilfrid van Pelt, Gerlinde N. Pluister, Emile C. Spalburg, Engeline van Duijkeren, Albert J. de Neeling, Xander W. Huijsdens, Ad C. Fluit and Marga G. van Santen-Verheuvel. Their work appears in journals such as Eurosurveillance, Journal of Clinical Microbiology, Veterinary Microbiology, Epidemiology and Infection and Clinical Microbiology and Infection.
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.