J. Šterzl
- Immunology top 5%
- Molecular Biology
- Infectious Diseases top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Genetics top 10%
- Co-authors
- I. ŘíhaArthur M. SilversteinL. MandelJ. KostkaJ. RejnekHelena Tlaskalová‐HogenováJ. TrávníčekZ. Trnka
- Topics
- Immune Response and Inflammation (15 papers)Monoclonal and Polyclonal Antibodies Research (13 papers)Immune Cell Function and Interaction (12 papers)
- Cited by
- ImmunologyEndocrinologySmall Animals
- Partner nations
- CzechiaSlovakiaUnited States
In The Last Decade
J. Šterzl
76 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Immunology 773
- Molecular Biology 330
- Infectious Diseases 232
- Radiology, Nuclear Medicine and Imaging 196
- Genetics 184
Countries citing papers authored by J. Šterzl
This map shows the geographic impact of J. Šterzl'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 J. Šterzl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Šterzl more than expected).
Fields of papers citing papers by J. Šterzl
This network shows the impact of papers produced by J. Šterzl. 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 J. Šterzl. The network helps show where J. Šterzl may publish in the future.
Co-authorship network of co-authors of J. Šterzl
This figure shows the co-authorship network connecting the top 25 collaborators of J. Šterzl. A scholar is included among the top collaborators of J. Šterzl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Šterzl. J. Šterzl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 46 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | The immuno inhibitory and immuno stimulatory effects of hydroxy anthra quinone and hydroxy naphtho quinone derivatives | 7 |
| 9 | 10 | |
| 10 | 9 | |
| 11 | Different amounts of phi X 174 phage necesary for evoking a primary antibody response in newborn and adult animals. | 1 |
| 12 | 1 | |
| 13 | 228 | |
| 14 | 9 | |
| 15 | [The nature of properties of bactericidal serum against gram-negative micro-organisms]. | 18 |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 0 |
About J. Šterzl
J. Šterzl is a scholar working on Immunology, Endocrinology and Small Animals, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (15 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Immune Cell Function and Interaction (12 papers). The work is most often cited by research in Immunology (773 citations), Endocrinology (144 citations) and Small Animals (164 citations). J. Šterzl has collaborated with scholars based in Czechia, Slovakia and United States. Frequent co-authors include I. Říha, Arthur M. Silverstein, L. Mandel, J. Kostka, J. Rejnek, Helena Tlaskalová‐Hogenová, J. Trávníček, Z. Trnka, Michael W. Russell and Susan Jackson. Their work appears in journals such as Nature, Annals of the New York Academy of Sciences and Cellular and Molecular Life Sciences.
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.