Laura Botti

1.0k citations
23 papers · 733 · h-index 14

Impact in

    • MicroRNA in disease regulation
  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • Immune cells in cancer 9
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
    • Mast cells and histamine 3
    • Extracellular vesicles in disease 2

Laura Botti

22 papers receiving 730 citations

Peers

Laura Botti
Comparison fields: 5 of 70
  • Cancer Research 198
  • Immunology 285
  • Oncology 223
  • Rheumatology 80
  • Molecular Biology 318
Replace Osama Al‐Assar with:
Osama Al‐Assar United Kingdom
Nicholas C. DeVito United States
Naiara Perurena United States
Alessia Burocchi Italy
Virginie Lamour Belgium
Shu-Fang Jia United States
Jon N. Buzzelli Australia
Xuebing Di China
Lucia Martínez-Cruzado Spain
Laura Botti relative to Osama Al‐Assar United Kingdom Osama Al‐Assar's profile →
Citations per field
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Osama Al‐Assar · 1×
Citations per year

Countries citing papers authored by Laura Botti

Since Specialization
Citations

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

Fields of papers citing papers by Laura Botti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Laura Botti, 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 Laura Botti Line = papers co-authored together Laura Botti 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 2016164
2 2014119
3 201684
4 201764
5 201948
6 202033
7 201430
8 201728
9 202022
10 202319
11 202216
12 202215
13 202214
14 201914
15 202113
16 201612
17 202412
18 202210
19 20238
20 20215

About Laura Botti

Laura Botti is a scholar working on Immunology, Molecular Biology, Oncology, Rheumatology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 733 indexed citations. Recurring topics across this work include Immune cells in cancer (9 papers), Bone and Dental Protein Studies (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Mast cells and histamine (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Extracellular vesicles in disease (2 papers), Acute Myeloid Leukemia Research (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Cancer Research (198 citations), Immunology (285 citations), Oncology (223 citations), Rheumatology (80 citations) and Molecular Biology (318 citations). Laura Botti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Mario P. Colombo, Claudia Chiodoni, Claudio Tripodo, Sabina Sangaletti, Paola Portararo, Barbara Cappetti, Alessandro Gulino, Chiara Ratti, Valeria Cancila and Alessia Burocchi. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Journal of Experimental & Clinical Cancer Research, Frontiers in Immunology and Cell Reports.

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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