Jan Honegr
Impact in
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Immunotherapy and Immune Responses 2
- Immune Response and Inflammation 1
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- Antimicrobial agents and applications 3
- Co-authors
- Kamil Kuča (13 shared papers)Ondřej Soukup (9 shared papers)Jan Korábečný (6 shared papers)Rafael Doležal (8 shared papers)David Maliňák (8 shared papers)Petra Marešová (4 shared papers)Blanka Klímová (4 shared papers)Jan Marek (3 shared papers)
In The Last Decade
Jan Honegr
18 papers receiving 322 citations
Peers
Comparison fields: 5 of 54
- Pharmacology 46
- Business and International Management 2
- Organic Chemistry 49
- Medical Laboratory Technology 1
- Computational Theory and Mathematics 19
Countries citing papers authored by Jan Honegr
This map shows the geographic impact of Jan Honegr'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 Honegr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Honegr more than expected).
Fields of papers citing papers by Jan Honegr
This network shows the impact of papers produced by Jan Honegr. 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 Honegr. The network helps show where Jan Honegr may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Honegr, 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 | 2016 | 49 | |
| 2 | 2016 | 45 | |
| 3 | 2014 | 39 | |
| 4 | 2016 | 34 | |
| 5 | 2020 | 34 | |
| 6 | 2014 | 20 | |
| 7 | 2007 | 18 | |
| 8 | 2018 | 16 | |
| 9 | 2010 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2018 | 11 | |
| 12 | 2015 | 9 | |
| 13 | 2012 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2014 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2018 | 2 | |
| 18 | VACCINE INGREDIENTS: COMPONENTS WHICH INFLUENCE VACCINE’S EFFICACY | 2017 | 1 |
About Jan Honegr
Jan Honegr is a scholar working on Immunology, Organic Chemistry, Computational Theory and Mathematics, Biomedical Engineering and Health Information Management, having authored 18 papers that have together received 331 indexed citations. Recurring topics across this work include Antimicrobial agents and applications (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Immunotherapy and Immune Responses (2 papers), Computational Drug Discovery Methods (2 papers), Alzheimer's disease research and treatments (1 paper), Complex Systems and Decision Making (1 paper), Immune Response and Inflammation (1 paper) and Healthcare Regulation (1 paper). The work is most often cited by research in Pharmacology (46 citations), Business and International Management (2 citations), Organic Chemistry (49 citations), Medical Laboratory Technology (1 citation) and Computational Theory and Mathematics (19 citations). Jan Honegr has collaborated with scholars based in Czechia, Brazil and Malaysia. Frequent co-authors include Kamil Kuča, Ondřej Soukup, Jan Korábečný, Rafael Doležal, David Maliňák, Petra Marešová, Blanka Klímová, Jan Marek, Jana Dáňová and Teodorico Ramalho. Their work appears in journals such as European Journal of Medicinal Chemistry, Mini-Reviews in Medicinal Chemistry, Chromatographia, Molecules and Bioorganic & Medicinal Chemistry Letters.
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.