Beatrice Caffé

413 citations
8 papers · 293 · 1 hit paper · h-index 6

Impact in

Papers in

Beatrice Caffé

8 papers receiving 285 citations

Beatrice Caffé's Hit Papers

Characterization of SARS-CoV-2 RNA, Antibodies, and Neutralizing Capacity in Milk Produced by Women with COVID-19 2021 · 228 citations
2280+1+3Years since publication50100150200

Peers

Beatrice Caffé
Comparison fields: 5 of 25
  • Obstetrics and Gynecology 78
  • Infectious Diseases 137
  • Nutrition and Dietetics 71
  • Epidemiology 89
  • Pediatrics, Perinatology and Child Health 12
Replace Jia Ming Low with:
Jia Ming Low Singapore
Rita Lynne Ferri United States
Clara Alonso Díaz Spain
Elena Taggart Medo United States
Alessandra Consales Italy
Tassiane Cristina Morais Brazil
Christine Y. Lin United States
Camilla Menis Italy
Mohammed Hamad Juma Pakistan
Andrea Smarrazzo Italy
Beatrice Caffé relative to Jia Ming Low Singapore Jia Ming Low's profile →
Citations per field
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Jia Ming Low · 1×
Citations per year

Countries citing papers authored by Beatrice Caffé

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice Caffé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Beatrice Caffé, 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 Beatrice Caffé Line = papers co-authored together Beatrice Caffé links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Characterization of SARS-CoV-2 RNA, Antibodies, and Neutralizing Capacity in Milk Produced by Women with COVID-19
Hit paper breakdown →
2021228
2 202126
3 202312
4 202411
5 20248
6 20226
7 20241
8 20251

About Beatrice Caffé

Beatrice Caffé is a scholar working on Nutrition and Dietetics, Obstetrics and Gynecology, Infectious Diseases, Epidemiology and Pharmacology, having authored 8 papers that have together received 293 indexed citations. Recurring topics across this work include Infant Nutrition and Health (4 papers), Breastfeeding Practices and Influences (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Impact on Reproduction (3 papers), Cannabis and Cannabinoid Research (2 papers), COVID-19 Clinical Research Studies (1 paper), Pregnancy and Medication Impact (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Obstetrics and Gynecology (78 citations), Infectious Diseases (137 citations), Nutrition and Dietetics (71 citations), Epidemiology (89 citations) and Pediatrics, Perinatology and Child Health (12 citations). Beatrice Caffé has collaborated with scholars based in United States, Gambia and Ethiopia. Frequent co-authors include Janet E. Williams, David Roger Gang, Mark A. McGuire, Elizabeth A. Holdsworth, Celestina Barbosa‐Leiker, Courtney L. Meehan, Shelley McGuire, Anna Berim, Ryan M. Pace and Maria A. Gartstein. Their work appears in journals such as Frontiers in Immunology, American Journal of Human Biology, mBio, Breastfeeding Medicine and Journal of Cannabis Research.

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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