Domenico Lazzaro
- Molecular Biology top 5%
- Genetics top 2%
- Immunology top 5%
- Oncology top 5%
- Surgery top 10%
- Co-authors
- Melanie PriceRoberto Di LauroElena FattoriMario De FeliceGennaro CilibertoTonino AlonziValeria PoliFabrizio De Benedetti
- Topics
- Monoclonal and Polyclonal Antibodies Research (4 papers)Renal and related cancers (4 papers)Birth, Development, and Health (3 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Domenico Lazzaro
37 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 2.1k
- Genetics 862
- Immunology 797
- Oncology 646
- Surgery 523
Countries citing papers authored by Domenico Lazzaro
This map shows the geographic impact of Domenico Lazzaro'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 Domenico Lazzaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Domenico Lazzaro more than expected).
Fields of papers citing papers by Domenico Lazzaro
This network shows the impact of papers produced by Domenico Lazzaro. 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 Domenico Lazzaro. The network helps show where Domenico Lazzaro may publish in the future.
Co-authorship network of co-authors of Domenico Lazzaro
This figure shows the co-authorship network connecting the top 25 collaborators of Domenico Lazzaro. A scholar is included among the top collaborators of Domenico Lazzaro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Domenico Lazzaro. Domenico Lazzaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Metallothionein colon crypt immuno-positivity as a rapid in vivo essay for drug efficacy studies. | 3 |
| 2 | 9 | |
| 3 | 66 | |
| 4 | 15 | |
| 5 | 25 | |
| 6 | 2 | |
| 7 | 41 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 393 | |
| 11 | 16 | |
| 12 | 177 | |
| 13 | 1 | |
| 14 | Loss of heterozygosity of imprinted genes in SV40 t/T antigen-induced hepatocellular carcinomas. | 29 |
| 15 | 141 | |
| 16 | Developmental expression of the RET protooncogene. | 96 |
| 17 | 52 | |
| 18 | 245 | |
| 19 | 161 | |
| 20 | Hemopoietic development in human embryos. | 14 |
About Domenico Lazzaro
Domenico Lazzaro is a scholar working on Genetics, Biotechnology and Endocrine and Autonomic Systems, having authored 37 papers that have together received 4.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Renal and related cancers (4 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Immunology (797 citations), Developmental Neuroscience (140 citations) and Genetics (862 citations). Domenico Lazzaro has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Melanie Price, Roberto Di Lauro, Elena Fattori, Mario De Felice, Gennaro Ciliberto, Tonino Alonzi, Valeria Poli, Fabrizio De Benedetti, Patrizia Costa and Piero Musiani. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.