Aina Casellas

1.7k citations
46 papers · 778 · h-index 18

Impact in

Papers in

Aina Casellas

46 papers receiving 763 citations

Peers

Aina Casellas
Comparison fields: 5 of 97
  • Ophthalmology 65
  • Epidemiology 192
  • Endocrinology, Diabetes and Metabolism 90
  • Public Health, Environmental and Occupational Health 131
  • Virology 22
Replace Yatir Ben‐Shlomo with:
Yatir Ben‐Shlomo United States
José Mayo Spain
Muhammad Abdur Rahim Bangladesh
Parinya Chamnan Thailand
Inès Lakbar France
Andrea De Vito Italy
M. Rolfe Gambia
Arthur M. Fournier United States
Jyoti Jain India
Joshuan J. Barboza Peru
Aina Casellas relative to Yatir Ben‐Shlomo United States Yatir Ben‐Shlomo's profile →
Citations per field
00.5×10×20×32×
Yatir Ben‐Shlomo · 1×
Citations per year

Countries citing papers authored by Aina Casellas

Since Specialization
Citations

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

Fields of papers citing papers by Aina Casellas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 201666
3 201762
4 201550
5 201540
6 201938
7 201434
8 202033
9 202133
10 201828
11 201927
12 202125
13 201625
14 202121
15 202220
16 201720
17 201820
18 196519
19 201717
20 201815

About Aina Casellas

Aina Casellas is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Cardiology and Cardiovascular Medicine, having authored 46 papers that have together received 778 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (5 papers), Malaria Research and Control (5 papers), HIV/AIDS Research and Interventions (5 papers), Global Maternal and Child Health (5 papers), Child Nutrition and Water Access (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers) and Parasites and Host Interactions (2 papers). The work is most often cited by research in Ophthalmology (65 citations), Epidemiology (192 citations), Endocrinology, Diabetes and Metabolism (90 citations), Public Health, Environmental and Occupational Health (131 citations) and Virology (22 citations). Aina Casellas has collaborated with scholars based in Spain, Mozambique and United States. Frequent co-authors include Josep Franch‐Nadal, Manel Mata‐Cases, Dı́dac Mauricio, Xavier Mundet, Irene Vinagre, Antonio Rodríguez‐Poncelas, Quique Bassat, Marc Casajuana‐Closas, Bonaventura Bolíbar and Conxa Castell. Their work appears in journals such as Malaria Journal, PLoS neglected tropical diseases, Scientific Reports, BMJ Global Health and PLoS ONE.

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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