Sílvia Bofill-Mas

4.4k citations
56 papers · 3.1k indexed · h-index 29

Sílvia Bofill-Mas

55 papers receiving 3.0k citations

Peers

Sílvia Bofill-Mas
Comparison fields: 5 of 105
  • Infectious Diseases 2.2k
  • Hepatology 394
  • Water Science and Technology 621
  • Animal Science and Zoology 304
  • Endocrinology 142
Replace Ayalkibet Hundesa with:
Ayalkibet Hundesa Spain
Giuseppina La Rosa Italy
David N. Lees United Kingdom
N. Jothikumar United States
Leena Maunula Finland
Françoise S. Le Guyader France
M. Iaconelli Italy
Willemijn J. Lodder Netherlands
Theresa L. Cromeans United States
Marize Pereira Miagostovich Brazil
Sílvia Bofill-Mas relative to Ayalkibet Hundesa Spain Ayalkibet Hundesa's profile →
Citations per field
00.5×1.5×2.2×
Ayalkibet Hundesa · 1×
Citations per year

Countries citing papers authored by Sílvia Bofill-Mas

Since Specialization
Citations

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

Fields of papers citing papers by Sílvia Bofill-Mas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sílvia Bofill-Mas. 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 Sílvia Bofill-Mas. The network helps show where Sílvia Bofill-Mas may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20244
3 202324
4 202214
5 202150
6 202095
7 20192
8 201939
9 2017111
10 201630
11 201557
12 201565
13 201395
14 201327
15 20138
16 201294
17 201111
18 201113
19 200943
20 2008127

About Sílvia Bofill-Mas

Sílvia Bofill-Mas is a scholar working on Infectious Diseases, Animal Science and Zoology and Ecology, having authored 56 papers that have together received 3.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (47 papers), Bacteriophages and microbial interactions (22 papers), SARS-CoV-2 detection and testing (12 papers), Virus-based gene therapy research (11 papers), Animal Virus Infections Studies (11 papers), Fecal contamination and water quality (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Hepatology (394 citations) and Water Science and Technology (621 citations). Sílvia Bofill-Mas has collaborated with scholars based in Spain, Brazil and United Kingdom. Frequent co-authors include Rosina Gironés, Ayalkibet Hundesa, Marta Rusiñol, Jesús Rodríguez-Manzano, Pilar Clemente-Casares, Byron Calgua, Néstor Albiñana-Giménez, Sandra Martínez‐Puchol, Miquel Calvo and Xavier Fernández-Cassi. Their work appears in journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

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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