Serena Verdi

1.6k citations
14 papers · 900 indexed · 2 hit papers · h-index 10
Topics
Functional Brain Connectivity Studies (7 papers)Dementia and Cognitive Impairment Research (6 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)

In The Last Decade

Serena Verdi

14 papers receiving 893 citations

Hit Papers

Gut microbiota associations with common diseases and pres...201820262020202320182022100200300400

Peers

Serena Verdi
Comparison fields: 5 of 115
  • Molecular Biology 455
  • Physiology 277
  • Cognitive Neuroscience 151
  • Infectious Diseases 92
  • Psychiatry and Mental health 91
Replace Hocheol Shin with:
Hocheol Shin South Korea
Sang-Yhun Ju South Korea
Jessica Robinson‐Papp United States
Dali Sun China
Nathalie Salles France
Zhihong Wang China
Iñaki Elío Spain
Zhenhuang Zhuang China
Sarah J. Lessard United States
Gabriella Pugliese Italy
Serena Verdi relative to Hocheol Shin South Korea Hocheol Shin's profile →
Citations per field
00.5×3.7×
Hocheol Shin · 1×
Citations per year

Countries citing papers authored by Serena Verdi

Since Specialization
Citations

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

Fields of papers citing papers by Serena Verdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Verdi

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Verdi. A scholar is included among the top collaborators of Serena Verdi 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 Serena Verdi. Serena Verdi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 9
2 6
3 5
4 30
5
The normative modeling framework for computational psychiatrybreakdown →
108
6 1
7 51
8 1
9 98
10
Gut microbiota associations with common diseases and prescription medications in a population-based cohortbreakdown →
418
11 54
12 41
13 46
14 32

About Serena Verdi

Serena Verdi is a scholar working on Biological Psychiatry, Geriatrics and Gerontology and Cognitive Neuroscience, having authored 14 papers that have together received 900 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Dementia and Cognitive Impairment Research (6 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Biological Psychiatry (63 citations), Geriatrics and Gerontology (75 citations) and Physiology (277 citations). Serena Verdi has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Ruth C. E. Bowyer, Claire J. Steves, Jordana T. Bell, Frances M. K. Williams, Cristina Menni, Tim D. Spector, Matthew Jackson, Tiphaine Martin, Jonas Zierer and Maria-Emanuela Maxan. Their work appears in journals such as Nature Communications, PLoS ONE and Brain.

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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