Mario de Bono

5.2k citations
51 papers · 3.7k indexed · 1 hit paper · h-index 29
Topics
Genetics, Aging, and Longevity in Model Organisms (45 papers)Circadian rhythm and melatonin (30 papers)Neuroendocrine regulation and behavior (10 papers)

In The Last Decade

Mario de Bono

50 papers receiving 3.7k citations

Hit Papers

Natural Variation in a Neuropeptide Y Receptor Homolog Mo...19982026200720161998200400600

Peers

Mario de Bono
Comparison fields: 5 of 129
  • Aging 2.5k
  • Endocrine and Autonomic Systems 1.6k
  • Molecular Biology 955
  • Cellular and Molecular Neuroscience 781
  • Physiology 544
Replace Anne C. Hart with:
Anne C. Hart United States
David M. Miller United States
Jesse Gray United States
Scott W. Emmons United States
Rebecca A. Butcher United States
Shai Shaham United States
Jean‐Louis Bessereau France
Steven L. McIntire United States
Janet E. Richmond United States
Navin Pokala United States
Mario de Bono relative to Anne C. Hart United States Anne C. Hart's profile →
Citations per field
00.5×1.5×
Anne C. Hart · 1×
Citations per year

Countries citing papers authored by Mario de Bono

Since Specialization
Citations

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

Fields of papers citing papers by Mario de Bono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario de Bono. 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 Mario de Bono. The network helps show where Mario de Bono may publish in the future.

Co-authorship network of co-authors of Mario de Bono

This figure shows the co-authorship network connecting the top 25 collaborators of Mario de Bono. A scholar is included among the top collaborators of Mario de Bono 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 Mario de Bono. Mario de Bono 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 17
3 36
4 3
5 10
6 9
7 27
8 92
9 58
10 43
11 20
12 24
13 92
14 110
15 67
16 6
17 98
18 164
19 154
20 13

About Mario de Bono

Mario de Bono is a scholar working on Aging, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 51 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (45 papers), Circadian rhythm and melatonin (30 papers) and Neuroendocrine regulation and behavior (10 papers). The work is most often cited by research in Aging (2.5k citations), Endocrine and Autonomic Systems (1.6k citations) and Cellular and Molecular Neuroscience (781 citations). Mario de Bono has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Cornelia I. Bargmann, Andres V. Maricq, Karl Emanuel Busch, Lorenz A. Fenk, Candida Rogers, Juliet C. Coates, Changchun Chen, Patrick Laurent, Jonathan Hodgkin and Jan E. Kammenga. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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