Roberto Testi

8.6k citations
108 papers · 7.6k · h-index 46

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Immunology top 1%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

Roberto Testi

105 papers receiving 7.3k citations

Peers

Roberto Testi
Comparison fields: 5 of 103
  • Aging 228
  • Immunology 1.7k
  • Molecular Biology 3.3k
  • Virology 187
  • Cellular and Molecular Neuroscience 461
Replace Serge Yu. Fuchs with:
Serge Yu. Fuchs United States
Xiaohong Zhang United States
Nicholas A. Joza France
G H Wong United States
Xiaolu Yang United States
Naohiro Terada United States
Günther Böck Austria
Ruibao Ren United States
Hansruedi Loetscher Switzerland
Francis J. Dumont United States
Roberto Testi relative to Serge Yu. Fuchs United States Serge Yu. Fuchs's profile →
Citations per field
00.5×2×4×6.1×
Serge Yu. Fuchs · 1×
Citations per year

Countries citing papers authored by Roberto Testi

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Testi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994533
2 1997509
3 1989431
4 1994390
5 1997381
6 1995269
7 1989254
8 1997208
9 1989204
10 1996191
11 2006162
12 2000160
13 1994158
14 1996156
15 1998152
16 1994143
17 1998137
18 1996125
19 1996110
20 2002109

About Roberto Testi

Roberto Testi is a scholar working on Immunology, Cellular and Molecular Neuroscience, Molecular Biology, Aging and Cancer Research, having authored 108 papers that have together received 7.6k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (23 papers), Sphingolipid Metabolism and Signaling (22 papers), Genetic Neurodegenerative Diseases (21 papers), T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (10 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Aging (228 citations), Immunology (1.7k citations), Molecular Biology (3.3k citations), Virology (187 citations) and Cellular and Molecular Neuroscience (461 citations). Roberto Testi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Ruggero De Maria, Lewis L. Lanier, Joseph H. Phillips, Angela Santoni, Florence Malisan, Maria Rita Rippo, Barbara Tomassini, Maria Grazia Cifone, Ivano Condò and Daniele D’Ambrosio. Their work appears in journals such as The Journal of Experimental Medicine, European Journal of Immunology, The Journal of Immunology, Human Molecular Genetics and Blood.

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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