Jānis Ruško

549 citations
24 papers · 455 · h-index 14

Impact in

Papers in

Jānis Ruško

24 papers receiving 451 citations

Peers

Jānis Ruško
Comparison fields: 5 of 75
  • Pollution 139
  • Analytical Chemistry 103
  • Food Science 113
  • Animal Science and Zoology 52
  • Insect Science 63
Replace Samia Mokh with:
Samia Mokh Lebanon
Rosalía López‐Ruiz Spain
Letícia Rocha Guidi Brazil
Magdalena Słowik‐Borowiec Poland
Maofeng Dong China
Vandana Tripathy India
Rada Djurovic-Pejcev Serbia
Guanwei Gao China
Antonia Garrido Frenich Spain
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Citations per field
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Citations per year

Countries citing papers authored by Jānis Ruško

Since Specialization
Citations

This map shows the geographic impact of Jānis Ruško'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 Jānis Ruško with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jānis Ruško more than expected).

Fields of papers citing papers by Jānis Ruško

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jānis Ruško. 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 Jānis Ruško. The network helps show where Jānis Ruško may publish in the future.

Co-authors

The 25 scholars most cited alongside Jānis Ruško, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jānis Ruško Line = papers co-authored together Jānis Ruško links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201682
2 202039
3 202035
4 202030
5 201728
6 201727
7 201623
8 202123
9 201622
10 201821
11 202120
12 201616
13 201915
14 202315
15 201612
16 201811
17 202110
18 20209
19 20185
20
Zucchini yellow mosaic virus - new viral pathogen on cucurbitaceous plants in Hungary.
19963

About Jānis Ruško

Jānis Ruško is a scholar working on Pollution, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology, Food Science and Plant Science, having authored 24 papers that have together received 455 indexed citations. Recurring topics across this work include Botanical Research and Chemistry (6 papers), Analytical chemistry methods development (5 papers), Insect and Pesticide Research (5 papers), Meat and Animal Product Quality (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Plant and fungal interactions (3 papers), Pesticide and Herbicide Environmental Studies (3 papers) and Bee Products Chemical Analysis (3 papers). The work is most often cited by research in Pollution (139 citations), Analytical Chemistry (103 citations), Food Science (113 citations), Animal Science and Zoology (52 citations) and Insect Science (63 citations). Jānis Ruško has collaborated with scholars based in Latvia, Lithuania and Germany. Frequent co-authors include Vadims Bartkevičs, Ingus Pērkons, Iveta Pugajeva, Elsa Lundanes, Dzintars Začs, Ingars Reinholds, Elena Bartkienė, Gražina Juodeikienė, Vytautė Starkutė and Daiva Žadeikė. Their work appears in journals such as International Journal of Food Science & Technology, Foods, Journal of Pharmaceutical and Biomedical Analysis, Sensors and EFSA Journal.

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.

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