Ilenia Pacella

1.0k citations
23 papers · 738 · h-index 12

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

    • Immune Cell Function and Interaction 15
    • T-cell and B-cell Immunology 12
    • Atherosclerosis and Cardiovascular Diseases 4
    • Immune cells in cancer 3
    • Immunotherapy and Immune Responses 2
    • Cytokine Signaling Pathways and Interactions 4

Ilenia Pacella

22 papers receiving 736 citations

Peers

Ilenia Pacella
Comparison fields: 5 of 73
  • Immunology 465
  • Cancer Research 158
  • Oncology 218
  • Hepatology 30
  • Epidemiology 108
Replace Gongping Liang with:
Gongping Liang China
Jianxin Wei United States
Viralkumar Davra United States
Diego Maritano Italy
Carmen M. Anadon United States
Samuel D. Saibil Canada
Jinghua Wu China
Fang‐Zhu Ouyang China
Daniele Sorcini Italy
Ilenia Pacella relative to Gongping Liang China Gongping Liang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ilenia Pacella

Since Specialization
Citations

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

Fields of papers citing papers by Ilenia Pacella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018253
2 201898
3 201466
4 201666
5 201755
6 201954
7 201431
8 201823
9 202113
10 202212
11 202012
12 202012
13 20219
14 20208
15 20167
16 20217
17 20234
18 20223
19 20192
20 20241

About Ilenia Pacella

Ilenia Pacella is a scholar working on Immunology, Oncology, Rheumatology, Molecular Biology and Epidemiology, having authored 23 papers that have together received 738 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (12 papers), Cytokine Signaling Pathways and Interactions (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Immune cells in cancer (3 papers), Immunotherapy and Immune Responses (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Immunology (465 citations), Cancer Research (158 citations), Oncology (218 citations), Hepatology (30 citations) and Epidemiology (108 citations). Ilenia Pacella has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Silvia Piconese, Vincenzo Barnaba, Eleonora Timperi, Chiara Focaccetti, Giuseppe Matarese, Claudio Procaccini, Eliana M. Coccia, Fabiana Rizzo, Claudio Tripodo and Martina Severa. Their work appears in journals such as Frontiers in Immunology, Annals of the Rheumatic Diseases, Methods in enzymology on CD-ROM/Methods in enzymology, Liver International and Journal of Leukocyte Biology.

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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