Mara Gilardi

2.7k citations
33 papers · 1.9k indexed · 2 hit papers · h-index 19

Mara Gilardi

31 papers receiving 1.8k citations

Hit Papers

Tumour-infiltrating B cells...3042014202620182022100200300400500

Peers

Mara Gilardi
Comparison fields: 5 of 104
  • Oncology 799
  • Biomedical Engineering 838
  • Immunology 331
  • Cell Biology 215
  • Cancer Research 196
Replace Jay George with:
Jay George United States
Alessandro De Vita Italy
Valentina Mele Switzerland
Cynthia Hajal United States
Zhiwei Hu United States
Vivien Schacht Germany
Abisola Abisoye-Ogunniyan United States
Sven Christian Germany
Shuyang Sun China
Karen M. Bussard United States
Mara Gilardi relative to Jay George United States Jay George's profile →
Citations per field
00.5×
Jay George · 1×
Citations per year

Countries citing papers authored by Mara Gilardi

Since Specialization
Citations

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

Fields of papers citing papers by Mara Gilardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20239
2 202375
3 20230
4 202234
5
Tumour-infiltrating B cells: immunological mechanisms, clinical impact and therapeutic opportunitiesbreakdown →
2022304
6 202118
7 202138
8 202151
9 202078
10 202011
11 202018
12 202029
13 201954
14 2019119
15 201836
16 201854
17 201744
18 20166
19 201581
20
Human 3D vascularized organotypic microfluidic assays to study breast cancer cell extravasationbreakdown →
2014597

About Mara Gilardi

Mara Gilardi is a scholar working on Oncology, Cell Biology and Biomedical Engineering, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (10 papers), Cancer Cells and Metastasis (9 papers), Cancer Immunotherapy and Biomarkers (4 papers), Bone health and treatments (3 papers), Muscle Physiology and Disorders (3 papers), Protein Degradation and Inhibitors (3 papers), Cellular Mechanics and Interactions (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Oncology (799 citations), Biomedical Engineering (838 citations) and Immunology (331 citations). Mara Gilardi has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Matteo Moretti, Simone Bersini, Roger D. Kamm, Gabriele Dubini, Jessie S. Jeon, Joseph L. Charest, Daniel P. Hollern, Brad H. Nelson, Céline M. Laumont and Allyson C. Banville. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature reviews. Cancer.

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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