Alessandro Bitto

2.8k citations
33 papers · 1.9k · h-index 17

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Mitochondrial Function and Pathology 11
    • ATP Synthase and ATPases Research 5
    • Telomeres, Telomerase, and Senescence 6
    • Adipose Tissue and Metabolism 4
    • Dietary Effects on Health 3

Alessandro Bitto

30 papers receiving 1.9k citations

Peers

Alessandro Bitto
Comparison fields: 5 of 115
  • Aging 423
  • Neurology 300
  • Biological Psychiatry 76
  • Physiology 736
  • Endocrine and Autonomic Systems 175
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Citations per field
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Citations per year

Countries citing papers authored by Alessandro Bitto

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Bitto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012455
2 2016317
3 2010160
4 2014116
5 2008113
6 201396
7 202188
8 201587
9 201572
10 201067
11 200961
12 202048
13 201840
14 200934
15 200934
16 202026
17 201420
18 202211
19 201411
20 202110

About Alessandro Bitto

Alessandro Bitto is a scholar working on Molecular Biology, Physiology, Aging, Clinical Biochemistry and Endocrine and Autonomic Systems, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (12 papers), Mitochondrial Function and Pathology (11 papers), Telomeres, Telomerase, and Senescence (6 papers), Metabolism and Genetic Disorders (5 papers), ATP Synthase and ATPases Research (5 papers), Adipose Tissue and Metabolism (4 papers), Dietary Effects on Health (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Aging (423 citations), Neurology (300 citations), Biological Psychiatry (76 citations), Physiology (736 citations) and Endocrine and Autonomic Systems (175 citations). Alessandro Bitto has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include Claudio Torres, Christian Sell, Elizabeth P. Crowe, Matt Kaeberlein, Michelle Moh, Rekha Bhat, John Q. Trojanowski, Christos D. Katsetos, F. Bradley Johnson and Fernando U. Garcia. Their work appears in journals such as GeroScience, Innovation in Aging, Experimental Gerontology, PLoS ONE and Aging Cell.

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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