Daniela Ceccarelli

83 papers receiving 3.1k citations

Peers

Daniela Ceccarelli
Comparison fields: 5 of 137
  • Endocrinology 953
  • Molecular Medicine 859
  • Applied Microbiology and Biotechnology 72
  • Food Science 562
  • Pollution 335
Replace Ye Feng with:
Ye Feng China
Takeshi Nishino Japan
Jason H. Yang United States
Alain Bousquet‐mélou France
Lisa Maier Germany
Christoph Högenauer Austria
Alban Le Monnier France
Martine Couturier Belgium
Robert C. Cooksey United States
Nerino Allocati Italy
Daniela Ceccarelli relative to Ye Feng China Ye Feng's profile →
Citations per field
00.5×1.5×2.3×
Ye Feng · 1×
Citations per year

Countries citing papers authored by Daniela Ceccarelli

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ceccarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009215
2 1996185
3 2013185
4 2016160
5 2010151
6 1995140
7 202088
8 201987
9 200681
10 201579
11 200876
12 201474
13 201073
14 200570
15 200467
16 200960
17 199453
18 201950
19 201649
20 200848

About Daniela Ceccarelli

Daniela Ceccarelli is a scholar working on Molecular Biology, Endocrinology, Molecular Medicine, Food Science and Nutrition and Dietetics, having authored 84 papers that have together received 3.2k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (24 papers), Antibiotic Resistance in Bacteria (22 papers), Salmonella and Campylobacter epidemiology (17 papers), Trace Elements in Health (12 papers), Mitochondrial Function and Pathology (9 papers), Aquaculture disease management and microbiota (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers) and Iron Metabolism and Disorders (6 papers). The work is most often cited by research in Endocrinology (953 citations), Molecular Medicine (859 citations), Applied Microbiology and Biotechnology (72 citations), Food Science (562 citations) and Pollution (335 citations). Daniela Ceccarelli has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Alberto Masini, Rita R. Colwell, Dik Mevius, M. Colombo, Vincent Burrus, Anwar Huq, Nur A. Hasan, Umberto Muscatello, Apostolos Liakopoulos and Andrea Cossarizza. Their work appears in journals such as Frontiers in Microbiology, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Biochemical and Biophysical Research Communications, Applied and Environmental Microbiology and Journal of Bioenergetics and Biomembranes.

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.

Explore authors with similar magnitude of impact