J. Salava
- Plant Science top 5%
- Molecular Biology
- Cell Biology
- Endocrinology top 10%
- Insect Science top 10%
- Co-authors
- Albert G. AbbottVéronique DecroocqB. KrškaJ. PolákThierry CandresseJana HajšlováEloy Fernández-CusimamaniM. L. Badenes
- Topics
- Plant Virus Research Studies (12 papers)Plant Reproductive Biology (8 papers)Plant Pathogens and Fungal Diseases (7 papers)
- Partner nations
- CzechiaUnited StatesFrance
In The Last Decade
J. Salava
40 papers receiving 419 citations
Peers
Comparison fields: 5 of 47
- Plant Science 363
- Molecular Biology 145
- Cell Biology 61
- Endocrinology 58
- Insect Science 58
Countries citing papers authored by J. Salava
This map shows the geographic impact of J. Salava'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. Salava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Salava more than expected).
Fields of papers citing papers by J. Salava
This network shows the impact of papers produced by J. Salava. 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. Salava. The network helps show where J. Salava may publish in the future.
Co-authorship network of co-authors of J. Salava
This figure shows the co-authorship network connecting the top 25 collaborators of J. Salava. A scholar is included among the top collaborators of J. Salava 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. Salava. J. Salava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 30 | |
| 4 | 2 | |
| 5 | 26 | |
| 6 | 21 | |
| 7 | 20 | |
| 8 | 56 | |
| 9 | Testing of susceptibility of horseweed (Conyza canadensis L. (Cronq.)) to glyphosate after its long term use in two railway stations. | 1 |
| 10 | THE PRESENT STATE OF HERBICIDE RESISTANCE OF WEED POPULATIONS IN THE CZECH REPUBLIC | 2 |
| 11 | 19 | |
| 12 | 5 | |
| 13 | 12 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | Polycyclic aromatic hydrocarbons (PAHs, nitro-PAHs, oxy-PAHs), polychlorinated biphenyls (PCBs) and organic chlorinated pesticides (OCPs) in the indoor and outdoor air of pig and cattle houses | 11 |
| 17 | Identification of plant pathogenic bacteria by random amplified polymorphic DNA (RAPD) assay | 1 |
| 18 | [Occurrence of chlorinated pesticides and polychlorinated biphenyls in the stalls and outdoor environment in pig-fattening farms]. | 1 |
| 19 | Mutagenicity of stable dust and drinking water on swine and cattle farms. | 2 |
| 20 | 3 |
About J. Salava
J. Salava is a scholar working on Plant Science, Cell Biology and Endocrinology, having authored 43 papers that have together received 454 indexed citations. Recurring topics across this work include Plant Virus Research Studies (12 papers), Plant Reproductive Biology (8 papers) and Plant Pathogens and Fungal Diseases (7 papers). The work is most often cited by research in Endocrinology (58 citations), Plant Science (363 citations) and Insect Science (58 citations). J. Salava has collaborated with scholars based in Czechia, United States and France. Frequent co-authors include Albert G. Abbott, Véronique Decroocq, B. Krška, J. Polák, Thierry Candresse, Jana Hajšlová, Eloy Fernández-Cusimamani, M. L. Badenes, Tetyana Zhebentyayeva and V. D. Damsteegt. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Pest Management Science and Plant Disease.
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.