Federica Tomay

671 total citations
8 papers, 427 citations indexed

About

Federica Tomay is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Federica Tomay has authored 8 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Federica Tomay's work include Immune cells in cancer (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Phytochemicals and Antioxidant Activities (2 papers). Federica Tomay is often cited by papers focused on Immune cells in cancer (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Phytochemicals and Antioxidant Activities (2 papers). Federica Tomay collaborates with scholars based in Australia, Italy and Germany. Federica Tomay's co-authors include Delia J. Nelson, Connie Jackaman, Lelinh Duong, Fiona J. Pixley, Pat Metharom, Katia Petroni, V. Calvenzani, Danielle E. Dye, Lucia Panzella and Enrico Caneva and has published in prestigious journals such as Food Chemistry, Ageing Research Reviews and Journal of Translational Medicine.

In The Last Decade

Federica Tomay

8 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federica Tomay Australia 8 156 126 95 59 54 8 427
Samir Devalaraja United States 7 172 1.1× 201 1.6× 90 0.9× 35 0.6× 69 1.3× 9 541
Krista LaPerle United States 7 78 0.5× 191 1.5× 124 1.3× 53 0.9× 106 2.0× 8 499
Shan Yu China 10 146 0.9× 110 0.9× 49 0.5× 46 0.8× 50 0.9× 15 434
Hayato Urushima Japan 10 63 0.4× 129 1.0× 108 1.1× 36 0.6× 31 0.6× 19 389
Kanda Kasetsinsombat Thailand 12 140 0.9× 105 0.8× 63 0.7× 38 0.6× 31 0.6× 19 545
Hai-mei Tian China 6 54 0.3× 107 0.8× 60 0.6× 60 1.0× 28 0.5× 16 376
Xiancai Zhong South Korea 15 230 1.5× 226 1.8× 103 1.1× 28 0.5× 15 0.3× 29 574
Gabriela Ion United States 12 149 1.0× 202 1.6× 63 0.7× 189 3.2× 33 0.6× 22 484
Krista Kennerly United States 5 187 1.2× 110 0.9× 69 0.7× 58 1.0× 15 0.3× 6 468
Chi‐Fu Chiang Taiwan 10 107 0.7× 172 1.4× 54 0.6× 23 0.4× 17 0.3× 31 454

Countries citing papers authored by Federica Tomay

Since Specialization
Citations

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

Fields of papers citing papers by Federica Tomay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Tomay

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

All Works

8 of 8 papers shown
1.
Jackaman, Connie, Federica Tomay, Danielle E. Dye, et al.. (2019). CD8+cytotoxic T cell responses to dominant tumor-associated antigens are profoundly weakened by aging yet subdominant responses retain functionality and expand in response to chemotherapy. OncoImmunology. 8(4). e1564452–e1564452. 9 indexed citations
2.
Tomay, Federica, Alessandra Marinelli, Valerio Leoni, et al.. (2019). Purple corn extract induces long-lasting reprogramming and M2 phenotypic switch of adipose tissue macrophages in obese mice. Journal of Translational Medicine. 17(1). 37 indexed citations
3.
Duong, Lelinh, Hannah G. Radley‐Crabb, Federica Tomay, et al.. (2018). Macrophage Depletion in Elderly Mice Improves Response to Tumor Immunotherapy, Increases Anti-tumor T Cell Activity and Reduces Treatment-Induced Cachexia. Frontiers in Genetics. 9. 526–526. 42 indexed citations
4.
Tomay, Federica, Lelinh Duong, Danielle E. Dye, et al.. (2018). Aged neutrophils accumulate in lymphoid tissues from healthy elderly mice and infiltrate T‐ and B‐cell zones. Immunology and Cell Biology. 96(8). 831–840. 42 indexed citations
5.
Jackaman, Connie, Federica Tomay, Lelinh Duong, et al.. (2017). Aging and cancer: The role of macrophages and neutrophils. Ageing Research Reviews. 36. 105–116. 196 indexed citations
6.
Verotta, Luisellá, Lucia Panzella, Stefano Antenucci, et al.. (2017). Fermented pomegranate wastes as sustainable source of ellagic acid: Antioxidant properties, anti-inflammatory action, and controlled release under simulated digestion conditions. Food Chemistry. 246. 129–136. 61 indexed citations
7.
Petroni, Katia, et al.. (2017). Proximate Composition, Polyphenol Content and Anti-inflammatory Properties of White and Pigmented Italian Rice Varieties. Universal Journal of Agricultural Research. 5(5). 312–321. 25 indexed citations
8.

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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