Luca Lavra

1.1k citations
20 papers · 886 · h-index 13

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • Toxin Mechanisms and Immunotoxins
    • Olfactory and Sensory Function Studies

Papers in

Luca Lavra

20 papers receiving 867 citations

Peers

Luca Lavra
Comparison fields: 5 of 117
  • Immunology 342
  • Sensory Systems 54
  • Endocrinology, Diabetes and Metabolism 140
  • Oncology 180
  • Cancer Research 80
Replace Alessandra Ulivieri with:
Alessandra Ulivieri Italy
Xinsheng Zhu United States
Olga Ostrovsky Israel
Frédéric Delom France
Cuiping Zhong China
Kristyn Gumpper United States
Ge-Hong Sun-Wada Japan
Paolo Accornero Italy
Laura Iris Cosen-Binker Canada
Hye Young Shin South Korea
Luca Lavra relative to Alessandra Ulivieri Italy Alessandra Ulivieri's profile →
Citations per field
00.5×1.5×2.1×
Alessandra Ulivieri · 1×
Citations per year

Countries citing papers authored by Luca Lavra

Since Specialization
Citations

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

Fields of papers citing papers by Luca Lavra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018266
2 2011100
3 200686
4 201467
5 201567
6 201355
7 201745
8 200644
9 200831
10 200825
11 201225
12 201720
13 200817
14 200711
15 20159
16 20227
17 20027
18 20212
19 20231
20 20061

About Luca Lavra

Luca Lavra is a scholar working on Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Surgery, having authored 20 papers that have together received 886 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (8 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Advanced Chemical Sensor Technologies (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Head and Neck Anomalies (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cancer Mechanisms and Therapy (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Immunology (342 citations), Sensory Systems (54 citations), Endocrinology, Diabetes and Metabolism (140 citations), Oncology (180 citations) and Cancer Research (80 citations). Luca Lavra has collaborated with scholars based in Italy, Sweden and Germany. Frequent co-authors include Salvatore Sciacchitano, Alessandra Ulivieri, Carlo Bellotti, Leila Salehi, Armando Bartolazzi, Alberto Rícci, Fiorenza Magi, Alessandra Morgante, Maria Trovato and Silvia Soddu. Their work appears in journals such as Scientific Reports, Journal of Cellular Physiology, The Journal of Pathology, PLoS ONE and British Journal of 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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