Udo Buchholz
Impact in
-
- Antibiotic Use and Resistance
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 57
- Influenza Virus Research Studies 40
- Respiratory viral infections research 33
- Pneumonia and Respiratory Infections 9
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- SARS-CoV-2 and COVID-19 Research 11
- Co-authors
- Walter Haas (42 shared papers)Helge Hollmeyer (2 shared papers)Frederick G. Hayden (2 shared papers)Gregory A. Poland (1 shared paper)Matthias an der Heiden (20 shared papers)Silke Buda (22 shared papers)Jacob L. Kool (6 shared papers)Brunhilde Schweiger (17 shared papers)
- Journals
- Eurosurveillance (12 papers)Epidemiology and Infection (8 papers)Emerging infectious diseases (8 papers)Influenza and Other Respiratory Viruses (6 papers)BMC Infectious Diseases (5 papers)
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Udo Buchholz
111 papers receiving 3.3k citations
Udo Buchholz's Hit Papers
Peers
Comparison fields: 5 of 160
- Applied Microbiology and Biotechnology 304
- Modeling and Simulation 577
- Health 576
- Infectious Diseases 1.1k
- Endocrinology 261
Countries citing papers authored by Udo Buchholz
This map shows the geographic impact of Udo Buchholz'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 Udo Buchholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udo Buchholz more than expected).
Fields of papers citing papers by Udo Buchholz
This network shows the impact of papers produced by Udo Buchholz. 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 Udo Buchholz. The network helps show where Udo Buchholz may publish in the future.
Co-authors
The 25 scholars most cited alongside Udo Buchholz, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Relationship between Antimicrobial Use and Antimicrobial Resistance in Europe Hit paper breakdown → | 2002 | 536 |
| 2 | 2009 | 359 | |
| 3 | 2012 | 140 | |
| 4 | 2006 | 126 | |
| 5 | 2012 | 118 | |
| 6 | 2013 | 113 | |
| 7 | 2012 | 93 | |
| 8 | 2002 | 85 | |
| 9 | 2020 | 85 | |
| 10 | 2010 | 80 | |
| 11 | 2003 | 79 | |
| 12 | 2014 | 73 | |
| 13 | 2006 | 64 | |
| 14 | 2011 | 60 | |
| 15 | 2013 | 58 | |
| 16 | 2010 | 57 | |
| 17 | 2005 | 55 | |
| 18 | 2000 | 54 | |
| 19 | 2002 | 52 | |
| 20 | 1999 | 48 |
About Udo Buchholz
Udo Buchholz is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Endocrinology and Pulmonary and Respiratory Medicine, having authored 119 papers that have together received 3.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (40 papers), Respiratory viral infections research (33 papers), COVID-19 epidemiological studies (27 papers), Legionella and Acanthamoeba research (13 papers), Infection Control and Ventilation (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Vaccine Coverage and Hesitancy (10 papers) and Pneumonia and Respiratory Infections (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (304 citations), Modeling and Simulation (577 citations), Health (576 citations), Infectious Diseases (1.1k citations) and Endocrinology (261 citations). Udo Buchholz has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Walter Haas, Helge Hollmeyer, Frederick G. Hayden, Gregory A. Poland, Matthias an der Heiden, Silke Buda, Jacob L. Kool, Brunhilde Schweiger, Gérard Krause and S L A M Bronzwaer. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Emerging infectious diseases, Influenza and Other Respiratory Viruses and BMC 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.