Ivan Scandale

1.5k citations
35 papers · 694 · h-index 17

Impact in

Papers in

    • Parasitic Diseases Research and Treatment 13
    • SARS-CoV-2 and COVID-19 Research 5
    • Trypanosoma species research and implications 11

Ivan Scandale

31 papers receiving 682 citations

Peers

Ivan Scandale
Comparison fields: 5 of 83
  • Parasitology 180
  • Infectious Diseases 219
  • Small Animals 84
  • Public Health, Environmental and Occupational Health 172
  • Epidemiology 188
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Khaled M. Al-Qaoud Jordan
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Lidia Chomicz Poland
Prasanta Saini India
Ahmed Nassar Egypt
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Scandale

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Scandale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Scandale, 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 Ivan Scandale Line = papers co-authored together Ivan Scandale links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202288
2 200668
3 201560
4 201458
5 201241
6 202029
7 202029
8 202128
9 201628
10 201927
11 201327
12 201526
13 201226
14 202323
15 202122
16 202120
17 201420
18 201814
19 202414
20 202111

About Ivan Scandale

Ivan Scandale is a scholar working on Infectious Diseases, Epidemiology, Parasitology, Ecology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 694 indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (13 papers), Trypanosoma species research and implications (11 papers), Parasites and Host Interactions (10 papers), Parasite Biology and Host Interactions (8 papers), Research on Leishmaniasis Studies (6 papers), Synthesis and Biological Evaluation (6 papers), Insects and Parasite Interactions (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Parasitology (180 citations), Infectious Diseases (219 citations), Small Animals (84 citations), Public Health, Environmental and Occupational Health (172 citations) and Epidemiology (188 citations). Ivan Scandale has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Eric Chatelain, Jennifer Keiser, Mireille Vargas, Gordana Panić, Saverio Russo, A. Bottino, Sabine Specht, G. Capannelli, Orietta Monticelli and Susan A. Charman. Their work appears in journals such as PLoS neglected tropical diseases, Antimicrobial Agents and Chemotherapy, Nature Communications, Reproductive Toxicology and Parasites & Vectors.

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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