Paola Molinari

1.5k citations
47 papers · 1.2k indexed · h-index 21
Topics
Receptor Mechanisms and Signaling (23 papers)Neuropeptides and Animal Physiology (15 papers)RNA regulation and disease (6 papers)

In The Last Decade

Paola Molinari

46 papers receiving 1.1k citations

Peers

Paola Molinari
Comparison fields: 5 of 112
  • Molecular Biology 842
  • Cellular and Molecular Neuroscience 463
  • Food Science 150
  • Physiology 129
  • Nutrition and Dietetics 80
Replace Maria V. Tejada‐Simon with:
Maria V. Tejada‐Simon United States
E. Ellen Billett United Kingdom
M. Martín Argentina
Mark L. Leyland United Kingdom
Suke Wang China
Keisuke Ito Japan
Xiaolan Fan China
George W. Forsyth Canada
Dean F. Revell United Kingdom
Suchitra Joshi United States
Paola Molinari relative to Maria V. Tejada‐Simon United States Maria V. Tejada‐Simon's profile →
Citations per field
00.5×
Maria V. Tejada‐Simon · 1×
Citations per year

Countries citing papers authored by Paola Molinari

Since Specialization
Citations

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

Fields of papers citing papers by Paola Molinari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Molinari

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Molinari. A scholar is included among the top collaborators of Paola Molinari 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 Paola Molinari. Paola Molinari 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 0
2 1
3 4
4 1
5 7
6 6
7 5
8 6
9 51
10 19
11 22
12 50
13 60
14 20
15 19
16 89
17 59
18 31
19 12
20 33

About Paola Molinari

Paola Molinari is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biological Psychiatry, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (15 papers) and RNA regulation and disease (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (463 citations), Molecular Biology (842 citations) and Food Science (150 citations). Paola Molinari has collaborated with scholars based in Italy, United Kingdom and Türkiye. Frequent co-authors include Tommaso Costa, Caterina Ambrosio, Ida Casella, Lorenzo Morelli, Maria Sbraccia, Enza D’Auria, Carlo Mantegazza, Gianvincenzo Zuccotti, Maria Stefania Brignone and Angela Lanciotti. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

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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