Daniela Manzella

2.0k citations
39 papers · 1.5k indexed · h-index 22

Daniela Manzella

38 papers receiving 1.5k citations

Peers

Daniela Manzella
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 670
  • Endocrinology, Diabetes and Metabolism 358
  • Physiology 358
  • Surgery 182
  • Endocrine and Autonomic Systems 170
Replace Maria Rosaria Tagliamonte with:
Maria Rosaria Tagliamonte Italy
Jessica Durrant United States
Kristen Jablonski United States
Guido Salvetti Italy
Vienna E. Brunt United States
Daniel W. Trott United States
Emilia Ragno Italy
Jared J. Greiner United States
Masahide Hara Japan
Tetsuo Nakata Japan
Daniela Manzella relative to Maria Rosaria Tagliamonte Italy Maria Rosaria Tagliamonte's profile →
Citations per field
00.5×1.5×1.9×
Maria Rosaria Tagliamonte · 1×
Citations per year

Countries citing papers authored by Daniela Manzella

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Manzella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Manzella

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Manzella. A scholar is included among the top collaborators of Daniela Manzella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Manzella. Daniela Manzella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 23
2 93
3 4
4 72
5 64
6 15
7 60
8 4
9 8
10 10
11 19
12 26
13 4
14 17
15 65
16 73
17 75
18 42
19 5
20 1

About Daniela Manzella

Daniela Manzella is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (19 papers), Cardiovascular and exercise physiology (10 papers) and Non-Invasive Vital Sign Monitoring (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (670 citations), Aging (50 citations) and Endocrine and Autonomic Systems (170 citations). Daniela Manzella has collaborated with scholars based in Italy, France and Brazil. Frequent co-authors include Giuseppe Paolisso, Maria Rosaria Rizzo, M Varricchio, Michelangela Barbieri, Antonio Gambardella, Emilia Ragno, Maria Rosaria Tagliamonte, Alessandro Arciello, Nicola Colacurci and Felice Fornaro. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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