V. Lanza

811 citations
27 papers · 573 · h-index 10

Impact in

  • Urology top 2%
    • Periodontal Regeneration and Treatments
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

V. Lanza

25 papers receiving 547 citations

Peers

V. Lanza
Comparison fields: 5 of 98
  • Urology 152
  • Genetics 220
  • Oral Surgery 42
  • Anesthesiology and Pain Medicine 22
  • Biomaterials 53
Replace Mi‐Jeong Jeon with:
Mi‐Jeong Jeon South Korea
T Kawata Japan
Paolo Savadori Italy
Laurie A. McDuffee Canada
J. Ohtani Japan
Shih‐Kai Wang United States
Luca Melotti Italy
Masahide Motokawa Japan
Shin Ae Park United States
Tingwei Guo United States
V. Lanza relative to Mi‐Jeong Jeon South Korea Mi‐Jeong Jeon's profile →
Citations per field
00.5×1.5×2.1×
Mi‐Jeong Jeon · 1×
Citations per year

Countries citing papers authored by V. Lanza

Since Specialization
Citations

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

Fields of papers citing papers by V. Lanza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009370
2 198837
3 200721
4 198420
5 199415
6 199115
7 201014
8 202111
9 201610
10 19929
11 20068
12 19877
13 19885
14 19954
15 19864
16
Conversion of spinal anesthesia into general anesthesia: an evaluation of more than 35,000 spinal anesthetics.
20104
17 19854
18 19894
19 19943
20 20122

About V. Lanza

V. Lanza is a scholar working on Molecular Biology, Plant Science, Statistical and Nonlinear Physics, Computer Networks and Communications and Genetics, having authored 27 papers that have together received 573 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers), stochastic dynamics and bifurcation (6 papers), Gene Regulatory Network Analysis (3 papers), Evolution and Genetic Dynamics (2 papers), Anesthesia and Sedative Agents (2 papers), RNA and protein synthesis mechanisms (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Urology (152 citations), Genetics (220 citations), Oral Surgery (42 citations), Anesthesiology and Pain Medicine (22 citations) and Biomaterials (53 citations). V. Lanza has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Gianpaolo Papaccio, Riccardo d’Aquino, Vincenzo Desiderio, Alfredo De Rosa, Luigi Laino, Antonio Graziano, G Laino, Virginia Tirino, A. Rocchi and Sebastiano Mercadante. Their work appears in journals such as International Journal of Bifurcation and Chaos, Heredity, Genetica, Chromosoma and Anesthesiology.

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.

Explore authors with similar magnitude of impact