Aina Casellas

1.6k citations
46 papers · 751 · h-index 18

Impact in

Papers in

Aina Casellas

46 papers receiving 739 citations

Peers

Aina Casellas
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 154
  • Ophthalmology 82
  • Epidemiology 269
  • Virology 33
  • Infectious Diseases 117
Replace M. Datta with:
M. Datta India
Laura Cordier United States
Yaw Ampem Amoako Ghana
Kellie L. Hawkins United States
Robin Houston United States
Yatir Ben‐Shlomo Israel
Onofre Muñoz‐Hernández Mexico
Parinya Chamnan Thailand
Girishanthy Krishnarajah United States
Baba Maiyaki Musa Nigeria
Aina Casellas relative to M. Datta India M. Datta's profile →
Citations per field
00.5×2.8×
M. Datta · 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 201589
2 201663
3 201761
4 201548
5 201540
6 201937
7 201433
8 202031
9 202129
10 201926
11 201826
12 201625
13 202124
14 201820
15 201720
16 202120
17 202218
18 196518
19 201717
20 201815

About Aina Casellas

Aina Casellas is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Pediatrics, Perinatology and Child Health and Parasitology, having authored 46 papers that have together received 751 indexed citations. Recurring topics across this work include Global Maternal and Child Health (9 papers), Mosquito-borne diseases and control (7 papers), HIV/AIDS Research and Interventions (6 papers), Parasites and Host Interactions (6 papers), Malaria Research and Control (6 papers), Trypanosoma species research and implications (5 papers), Child Nutrition and Water Access (4 papers) and Migration, Health and Trauma (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (154 citations), Ophthalmology (82 citations), Epidemiology (269 citations), Virology (33 citations) and Infectious Diseases (117 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, Joan Barrot, Irene Vinagre, Antonio Rodríguez‐Poncelas, Quique Bassat, Bonaventura Bolíbar and Marc Casajuana‐Closas. Their work appears in journals such as Malaria Journal, Scientific Reports, PLoS neglected tropical diseases, BMJ Global Health and Journal of Migration and Health.

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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