Daniela Maftei

935 citations
43 papers · 688 · h-index 17

Impact in

Papers in

Daniela Maftei

38 papers receiving 686 citations

Peers

Daniela Maftei
Comparison fields: 5 of 83
  • Behavioral Neuroscience 98
  • Reproductive Medicine 188
  • Endocrine and Autonomic Systems 120
  • Biological Psychiatry 24
  • Sensory Systems 43
Replace C. Rougeot with:
C. Rougeot France
Jutatip Guptarak United States
Susana I. Sá Portugal
Koreaki Sugimoto Japan
Fatma Töre Türkiye
Ashley Grossman United Kingdom
Francisco Fernández Spain
Niamh Martin United Kingdom
Y Hirooka Japan
Pamela Esposito United States
Daniela Maftei relative to C. Rougeot France C. Rougeot's profile →
Citations per field
00.5×7.8×
C. Rougeot · 1×
Citations per year

Countries citing papers authored by Daniela Maftei

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Maftei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201445
2 201645
3 202144
4 201942
5 201441
6 201940
7 201538
8 201531
9 201828
10 201424
11 201822
12 202121
13 201820
14 201918
15 201917
16 201917
17 202116
18 202215
19 201815
20 202115

About Daniela Maftei

Daniela Maftei is a scholar working on Physiology, Cellular and Molecular Neuroscience, Reproductive Medicine, Molecular Biology and Sensory Systems, having authored 43 papers that have together received 688 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (14 papers), Receptor Mechanisms and Signaling (7 papers), Pain Mechanisms and Treatments (7 papers), Neurobiology and Insect Physiology Research (7 papers), Stress Responses and Cortisol (5 papers), Alzheimer's disease research and treatments (4 papers), Ion Channels and Receptors (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Behavioral Neuroscience (98 citations), Reproductive Medicine (188 citations), Endocrine and Autonomic Systems (120 citations), Biological Psychiatry (24 citations) and Sensory Systems (43 citations). Daniela Maftei has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Roberta Lattanzi, Lucia Negri, Rossella Miele, Gianfranco Balboni, Maria Rosaria Fullone, Cinzia Severini, V. I. Marconi, Paola Casolini, Anna Rita Zuena and Paola Sacerdote. Their work appears in journals such as Neuropeptides, British Journal of Pharmacology, Journal of Neuroinflammation, Life and Frontiers in Pharmacology.

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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