Gabriella Rainaldi

2.6k total citations
65 papers, 2.2k citations indexed

About

Gabriella Rainaldi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Gabriella Rainaldi has authored 65 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Oncology and 11 papers in Immunology. Recurrent topics in Gabriella Rainaldi's work include Immune Cell Function and Interaction (9 papers), Cell death mechanisms and regulation (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). Gabriella Rainaldi is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Cell death mechanisms and regulation (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). Gabriella Rainaldi collaborates with scholars based in Italy, United States and Switzerland. Gabriella Rainaldi's co-authors include Maria Teresa Santini, Walter Malorni, Pietro L. Indovina, Roberto Rivabene, Paola Indovina, Antonella Ferrante, Claudio Franceschi, Daniela Monti, Andrea Cossarizza and Barbara Varano and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

Gabriella Rainaldi

65 papers receiving 2.2k citations

Peers

Gabriella Rainaldi
Comparison fields: 5 of 131
  • Molecular Biology 926
  • Oncology 427
  • Immunology 401
  • Biomedical Engineering 281
  • Physiology 222
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Robert M. Lafrenie Canada
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Tamás Nagy United States
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Citations per field, relative to Gabriella Rainaldi
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Citations per year, relative to Gabriella Rainaldi
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Countries citing papers authored by Gabriella Rainaldi

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Rainaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Rainaldi

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 56
2 9
3 7
4
Environmental fine particulate matter (PM 2.5) activates the RAW 264.7 macrophage cell line even at very low concentrations as revealed by 1H-NMR
1
5 7
6 33
7 12
8 40
9 216
10 11
11 3
12 24
13 29
14 82
15 19
16 9
17 242
18 12
19 19
20 7

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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