J. Campisi

4.7k total citations · 1 hit paper
11 papers, 3.5k citations indexed

About

J. Campisi is a scholar working on Physiology, Molecular Biology and Aging. According to data from OpenAlex, J. Campisi has authored 11 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Molecular Biology and 3 papers in Aging. Recurrent topics in J. Campisi's work include Telomeres, Telomerase, and Senescence (7 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and DNA Repair Mechanisms (2 papers). J. Campisi is often cited by papers focused on Telomeres, Telomerase, and Senescence (7 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and DNA Repair Mechanisms (2 papers). J. Campisi collaborates with scholars based in United States and Canada. J. Campisi's co-authors include Claudio Franceschi, Françis Rodier, Dipa Bhaumik, John M. Sedivy, Marco Demaria, David Adler, Arthur B. Pardee, R A Miller, Olivia M. Pereira‐Smith and Harry Gray and has published in prestigious journals such as Nucleic Acids Research, Free Radical Biology and Medicine and Experimental Cell Research.

In The Last Decade

J. Campisi

11 papers receiving 3.5k citations

Hit Papers

Chronic Inflammation (Inflammaging) and Its Potential Con... 2014 2026 2018 2022 2014 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Campisi United States 7 1.3k 1.2k 657 496 326 11 3.5k
Elisa Cevenini Italy 19 989 0.8× 1.0k 0.9× 646 1.0× 395 0.8× 358 1.1× 24 3.2k
Maria Scurti Italy 13 1.0k 0.8× 1.2k 1.0× 486 0.7× 354 0.7× 292 0.9× 16 2.9k
María De Luca United States 23 1.4k 1.1× 1.8k 1.6× 1.2k 1.8× 722 1.5× 696 2.1× 53 5.5k
Claudio Franceschi Sweden 1 924 0.7× 751 0.6× 554 0.8× 426 0.9× 205 0.6× 2 2.7k
Silvana Valensin Italy 21 1.5k 1.2× 1.7k 1.4× 1.6k 2.4× 926 1.9× 784 2.4× 26 5.8k
Irene Maeve Rea United Kingdom 24 595 0.5× 644 0.5× 597 0.9× 334 0.7× 208 0.6× 58 2.6k
Sergio Giunta Italy 16 690 0.5× 624 0.5× 433 0.7× 296 0.6× 141 0.4× 52 2.2k
Federica Sevini Italy 17 707 0.6× 865 0.7× 443 0.7× 294 0.6× 260 0.8× 28 2.5k
Sara De Biasi Italy 39 862 0.7× 2.2k 1.9× 771 1.2× 526 1.1× 70 0.2× 143 5.6k
Laura Invidia Italy 7 554 0.4× 552 0.5× 394 0.6× 245 0.5× 204 0.6× 8 1.8k

Countries citing papers authored by J. Campisi

Since Specialization
Citations

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

Fields of papers citing papers by J. Campisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Campisi

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

All Works

11 of 11 papers shown
1.
Franceschi, Claudio & J. Campisi. (2014). Chronic Inflammation (Inflammaging) and Its Potential Contribution to Age-Associated Diseases. The Journals of Gerontology Series A. 69(Suppl 1). S4–S9. 2749 indexed citations breakdown →
2.
Chinta, Shankar J., et al.. (2014). CELLULAR SENESCENCE AND BRAIN AGING. Free Radical Biology and Medicine. 76. S3–S3. 3 indexed citations
3.
Adler, David, et al.. (2013). Mitochondrial DNA damage induces apoptosis in senescent cells. Cell Death and Disease. 4(7). e727–e727. 65 indexed citations
4.
Campisi, J. & John M. Sedivy. (2009). How Does Proliferative Homeostasis Change With Age? What Causes It and How Does It Contribute to Aging?. The Journals of Gerontology Series A. 64A(2). 164–166. 37 indexed citations
5.
Campisi, J.. (2008). Protumorigenic Effects of the Senescence-Associated Secretory Phenotype. 2008(1). 505–509. 1 indexed citations
6.
Rodier, Françis, J. Campisi, & Dipa Bhaumik. (2007). Two faces of p53: aging and tumor suppression. Nucleic Acids Research. 35(22). 7475–7484. 298 indexed citations
7.
Campisi, J.. (2003). Cellular senescence and apoptosis: how cellular responses might influence aging phenotypes. Experimental Gerontology. 38(1-2). 5–11. 163 indexed citations
8.
Campisi, J.. (2001). From cells to organisms: can we learn about aging from cells in culture?. Experimental Gerontology. 36(4-6). 607–618. 210 indexed citations
9.
Warner, Huber R., J. Campisi, R A Miller, et al.. (1989). Control of cell proliferation in senescent cells.. PubMed. 24(5-6). 351–585. 5 indexed citations
10.
Pardee, Arthur B., J. Campisi, Harry Gray, Michael Dean, & Gail E. Sonenshein. (1984). Cellular oncogenes, growth factors, and cellular growth control.. PubMed. 37. 21–9. 6 indexed citations
11.
Campisi, J. & Arthur B. Pardee. (1982). An artifact in measurement of S phase initiation and its implication for the kinetics of S phase-specific enzyme activities. Experimental Cell Research. 140(2). 389–393. 6 indexed citations

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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