Igor Lamberti

440 citations
6 papers · 365 · h-index 4

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • BRCA gene mutations in cancer

Papers in

Igor Lamberti

5 papers receiving 357 citations

Peers

Igor Lamberti
Comparison fields: 5 of 56
  • Hematology 129
  • Genetics 77
  • Cell Biology 79
  • Nutrition and Dietetics 68
  • Pathology and Forensic Medicine 63
Replace Kairen Kukalizch with:
Kairen Kukalizch United Kingdom
Seppo Pakkala Finland
Hakim Ouled‐Haddou France
Robert M. Barr United Kingdom
M. García‐Delgado Spain
Iwona Janicka Poland
Mao Lin China
Imo J. Akpan United States
Dmitri V. Kravtsov United States
Annabel Tuckfield Australia
Igor Lamberti relative to Kairen Kukalizch United Kingdom Kairen Kukalizch's profile →
Citations per field
00.5×1.5×2.3×
Kairen Kukalizch · 1×
Citations per year

Countries citing papers authored by Igor Lamberti

Since Specialization
Citations

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

Fields of papers citing papers by Igor Lamberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2009258
2 200457
3 200428
4 201519
5
Aetiology of colorectal cancer and relevance of monogenic inheritance
20043
6 20190

About Igor Lamberti

Igor Lamberti is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cellular and Molecular Neuroscience and Neurology, having authored 6 papers that have together received 365 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Screening and Detection (3 papers), Multiple and Secondary Primary Cancers (1 paper), Glycosylation and Glycoproteins Research (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Digestive system and related health (1 paper), Heme Oxygenase-1 and Carbon Monoxide (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Hematology (129 citations), Genetics (77 citations), Cell Biology (79 citations), Nutrition and Dietetics (68 citations) and Pathology and Forensic Medicine (63 citations). Igor Lamberti has collaborated with scholars based in Italy and United States. Frequent co-authors include Giuliana Montosi, Kezhong Zhang, Chiara Vecchi, Antonello Pietrangelo, Stephen A. Duncan, Randal J. Kaufman, Lorena Losi, Giovanni Ponti, Carmela Di Gregorio and Luca Roncucci. Their work appears in journals such as Science, International Journal of Sports Physiology and Performance, Journal of Medical Genetics, British Journal of Cancer and Pathology - Research and Practice.

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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