Bruno Lorusso

586 citations
21 papers · 199 · h-index 7

Impact in

    • Lymphatic System and Diseases
    • Cancer Immunotherapy and Biomarkers
    • Phytochemicals and Antioxidant Activities

Papers in

Bruno Lorusso

19 papers receiving 195 citations

Peers

Bruno Lorusso
Comparison fields: 5 of 68
  • Oncology 87
  • Biochemistry 18
  • Radiology, Nuclear Medicine and Imaging 40
  • Immunology 28
  • Cancer Research 17
Replace Gyu Yeol Kim with:
Gyu Yeol Kim South Korea
Jo‐Ting Tsai Taiwan
Haibo Li China
Amol D. Kulkarni United States
Tze-Ho Chen Taiwan
Nozomu Nakai Japan
Christopher M. Schafer United States
Haonan Wang China
Xinxin Rao China
Bruno Lorusso relative to Gyu Yeol Kim South Korea Gyu Yeol Kim's profile →
Citations per field
00.5×1.5×2.5×
Gyu Yeol Kim · 1×
Citations per year

Countries citing papers authored by Bruno Lorusso

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Lorusso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201247
2 201035
3 202027
4
Isolation, purification, and heterogeneity of human lymphatic endothelial cells from different tissues.
200527
5 202211
6 201410
7 20157
8 20216
9 20156
10 20205
11 20244
12 20223
13 19943
14 20182
15 20182
16 19931
17 19931
18 20141
19 20241
20 20240

About Bruno Lorusso

Bruno Lorusso is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 21 papers that have together received 199 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Lymphatic System and Diseases (2 papers), Colorectal and Anal Carcinomas (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Dermatological and Skeletal Disorders (2 papers) and Vascular Malformations Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (87 citations), Biochemistry (18 citations), Radiology, Nuclear Medicine and Imaging (40 citations), Immunology (28 citations) and Cancer Research (17 citations). Bruno Lorusso has collaborated with scholars based in Italy and Greece. Frequent co-authors include Arnaldo Caruso, Simona Fiorentini, Caterina Frati, Federico Quaini, Antonio Procopio, Annalisa Cozza, Edoardo Cervi, Stefano Bonardelli, Giovanni Sindona and Mónica Nardi. Their work appears in journals such as Journal of the European Academy of Dermatology and Venereology, International Journal of Molecular Sciences, Annals of Oncology, Vascular Pharmacology and ESMO Open.

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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