Linda Nocchi

1.1k citations
26 papers · 729 indexed · h-index 13
Topics
Virus-based gene therapy research (6 papers)Immunotherapy and Immune Responses (6 papers)Occupational and environmental lung diseases (5 papers)
Partner nations
ItalyAustraliaCzechia

In The Last Decade

Linda Nocchi

26 papers receiving 720 citations

Peers

Linda Nocchi
Comparison fields: 5 of 84
  • Molecular Biology 325
  • Cancer Research 155
  • Physiology 146
  • Pulmonary and Respiratory Medicine 109
  • Urology 87
Replace Myung Woul Han with:
Myung Woul Han South Korea
Kumi Shirai Japan
Konstantin Yakimchuk Sweden
Yuko Noguchi Japan
Bianca Vezzani Italy
Michael R. Bardsley United States
Silvia Vidali Austria
Hu Guo China
Takayoshi Sumioka Japan
Lynn Rowley Australia
Linda Nocchi relative to Myung Woul Han South Korea Myung Woul Han's profile →
Citations per field
00.5×6.7×
Myung Woul Han · 1×
Citations per year

Countries citing papers authored by Linda Nocchi

Since Specialization
Citations

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

Fields of papers citing papers by Linda Nocchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Nocchi

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Nocchi. A scholar is included among the top collaborators of Linda Nocchi 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 Linda Nocchi. Linda Nocchi 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 4
2 1
3 5
4 27
5 9
6 10
7 79
8 14
9 61
10 9
11 81
12 69
13
Development of a new model for studying urothelial-afferent cross-talk
1
14 2
15
Aged related changes in purinergic signalling, afferent firing and receptor expression in the mouse bladder.
2
16 90
17 32
18 26
19 16
20 13

About Linda Nocchi

Linda Nocchi is a scholar working on Sensory Systems, Endocrine and Autonomic Systems and Dermatology, having authored 26 papers that have together received 729 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Immunotherapy and Immune Responses (6 papers) and Occupational and environmental lung diseases (5 papers). The work is most often cited by research in Urology (87 citations), Cancer Research (155 citations) and Sensory Systems (50 citations). Linda Nocchi has collaborated with scholars based in Italy, Australia and Czechia. Frequent co-authors include Matteo Giulietti, Francesco Piva, Donna Daly, Christopher R. Chapple, Giovanni Principato, David Grundy, Marco Tomasetti, Lory Santarelli, Jiřı́ Neužil and Sara Staffolani. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Bioinformatics.

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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