Daniel Havlichek
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 4
- Endocrinology top 10%
- Drug Discovery top 10%
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 7
- Antifungal resistance and susceptibility 4
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- Antibiotics Pharmacokinetics and Efficacy 9
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- Pneumonia and Respiratory Infections 6
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- Bacterial Identification and Susceptibility Testing 6
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- Hepatitis Viruses Studies and Epidemiology 3
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- Streptococcal Infections and Treatments 3
- Co-authors
- Gary E. SteinLouis D. SaravolatzCharles A. PeloquinD J PohlodPranatharthi ChandrasekarLeonard B. JohnsonChotikorn KhunnawatGeorge S. Abela
- Partner nations
- United States
In The Last Decade
Daniel Havlichek
39 papers receiving 619 citations
Peers
Comparison fields: 5 of 100
- Molecular Medicine 120
- Applied Microbiology and Biotechnology 47
- Endocrinology 68
- Drug Discovery 2
- Infectious Diseases 212
Countries citing papers authored by Daniel Havlichek
This map shows the geographic impact of Daniel Havlichek'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 Daniel Havlichek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Havlichek more than expected).
Fields of papers citing papers by Daniel Havlichek
This network shows the impact of papers produced by Daniel Havlichek. 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 Daniel Havlichek. The network helps show where Daniel Havlichek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Havlichek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 5 | |
| 4 | 2018 | 43 | |
| 5 | 2018 | 14 | |
| 6 | 2015 | 13 | |
| 7 | 2015 | 14 | |
| 8 | 2014 | 41 | |
| 9 | 2013 | 20 | |
| 10 | 2009 | 5 | |
| 11 | 2008 | 58 | |
| 12 | 2007 | 53 | |
| 13 | 2005 | 18 | |
| 14 | 1998 | 11 | |
| 15 | 1997 | 29 | |
| 16 | 1997 | 5 | |
| 17 | 1992 | 21 | |
| 18 | 1989 | 5 | |
| 19 | 1987 | 25 | |
| 20 | A physiological role for luminal gastrin? | 1978 | 22 |
About Daniel Havlichek
Daniel Havlichek is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Molecular Medicine, having authored 42 papers that have together received 650 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Pneumonia and Respiratory Infections (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antifungal resistance and susceptibility (4 papers), Antibiotic Resistance in Bacteria (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Molecular Medicine (120 citations), Applied Microbiology and Biotechnology (47 citations) and Endocrinology (68 citations). Daniel Havlichek has collaborated with scholars based in United States. Frequent co-authors include Gary E. Stein, Louis D. Saravolatz, Charles A. Peloquin, D J Pohlod, Pranatharthi Chandrasekar, Leonard B. Johnson, Chotikorn Khunnawat, George S. Abela, Siddharth Mukerji and Curtis Smith.
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.