Luca Noti

1.3k citations
5 papers · 557 · 1 hit paper · h-index 3

Impact in

  • Biophysics top 2%
    • Cell Image Analysis Techniques
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Cells and Metastasis 2
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 1

Luca Noti

3 papers receiving 553 citations

Luca Noti's Hit Papers

Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front 2020 · 543 citations
5430+2+4Years since publication100200300400500

Peers

Luca Noti
Comparison fields: 5 of 64
  • Biophysics 122
  • Immunology 140
  • Oncology 149
  • Cancer Research 77
  • Molecular Biology 304
Replace Erica S. Savig with:
Erica S. Savig United States
Xiao Tan Australia
Graham L. Barlow United States
Samir Jain India
Xiao‐Kang Lun Switzerland
Connor A. Jacobson United States
Jonas Windhager Switzerland
Thierry Pécot France
Tuulia Vallius United States
Duoduo Wu Singapore
Luca Noti relative to Erica S. Savig United States Erica S. Savig's profile →
Citations per field
00.5×10×14.5×
Erica S. Savig · 1×
Citations per year

Countries citing papers authored by Luca Noti

Since Specialization
Citations

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

Fields of papers citing papers by Luca Noti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front
Hit paper breakdown →
2020543
2 20228
3 20196
4 20230
5 20240

About Luca Noti

Luca Noti is a scholar working on Oncology, Immunology, Neurology, Epidemiology and Rheumatology, having authored 5 papers that have together received 557 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Cancer Cells and Metastasis (2 papers), Immunotherapy and Immune Responses (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Intracranial Aneurysms: Treatment and Complications (1 paper), Moyamoya disease diagnosis and treatment (1 paper), T-cell and B-cell Immunology (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Biophysics (122 citations), Immunology (140 citations), Oncology (149 citations), Cancer Research (77 citations) and Molecular Biology (304 citations). Luca Noti has collaborated with scholars based in Switzerland, United States and India. Frequent co-authors include Inti Zlobec, Yury Goltsev, Shigemi Kinoshita, David R. McIlwain, Sarah Black, Graham L. Barlow, Darci J. Phillips, Christian M. Schürch, Garry P. Nolan and Pauline Chu. Their work appears in journals such as Frontiers in Medicine, Cell, BMC Cancer, Interventional Neuroradiology and SSRN Electronic Journal.

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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