F. Lanza

528 total citations
35 papers, 383 citations indexed

About

F. Lanza is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, F. Lanza has authored 35 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 18 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in F. Lanza's work include Plant Pathogens and Fungal Diseases (18 papers), Banana Cultivation and Research (10 papers) and Plant Pathogenic Bacteria Studies (7 papers). F. Lanza is often cited by papers focused on Plant Pathogens and Fungal Diseases (18 papers), Banana Cultivation and Research (10 papers) and Plant Pathogenic Bacteria Studies (7 papers). F. Lanza collaborates with scholars based in Brazil, Slovakia and Angola. F. Lanza's co-authors include Franklin Behlau, Geraldo José da Silva, R. V. da Costa, L. V. Cota, J. E. F. Figueiredo, Laércio Zambolim, Valéria Aparecida Vieira Queiróz, Renato Beozzo Bassanezi, Gary P. Munkvold and C. R. Casela and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and Phytopathology.

In The Last Decade

F. Lanza

33 papers receiving 376 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Lanza Brazil 13 349 201 38 23 23 35 383
M. Suresh India 6 357 1.0× 162 0.8× 57 1.5× 25 1.1× 18 0.8× 39 394
José L. Trapero-Casas Spain 12 370 1.1× 202 1.0× 64 1.7× 14 0.6× 23 1.0× 15 398
Márcia Michelle de Queiroz Ambrósio Brazil 12 369 1.1× 165 0.8× 56 1.5× 16 0.7× 12 0.5× 70 409
F.A. Bletsos Greece 12 552 1.6× 197 1.0× 59 1.6× 16 0.7× 10 0.4× 33 579
Mario Orozco‐Santos Mexico 8 230 0.7× 68 0.3× 34 0.9× 14 0.6× 60 2.6× 56 271
L. L. Vawdrey Australia 11 287 0.8× 158 0.8× 41 1.1× 10 0.4× 8 0.3× 34 318
Krishna D. Puri United States 11 415 1.2× 228 1.1× 76 2.0× 7 0.3× 22 1.0× 26 464
Milan Panth United States 6 320 0.9× 139 0.7× 44 1.2× 22 1.0× 14 0.6× 11 355
Rishi R. Burlakoti Canada 14 547 1.6× 289 1.4× 62 1.6× 11 0.5× 9 0.4× 45 569
C. Akem Nigeria 13 449 1.3× 110 0.5× 29 0.8× 55 2.4× 16 0.7× 44 479

Countries citing papers authored by F. Lanza

Since Specialization
Citations

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

Fields of papers citing papers by F. Lanza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Lanza

This figure shows the co-authorship network connecting the top 25 collaborators of F. Lanza. A scholar is included among the top collaborators of F. Lanza 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 F. Lanza. F. Lanza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Figueiredo, J. E. F., et al.. (2025). Bacillus velezensis CNPMS-22 as biocontrol agent of pathogenic fungi and plant growth promoter. Frontiers in Microbiology. 16. 1522136–1522136. 5 indexed citations
2.
Machado, Franklin Jackson, F. Lanza, Renato Beozzo Bassanezi, et al.. (2022). Impact of diseases and pests on premature fruit drop in sweet orange orchards in São Paulo state citrus belt, Brazil. Pest Management Science. 78(6). 2643–2656. 22 indexed citations
3.
Behlau, Franklin, et al.. (2020). Spray Volume and Rate Based on the Tree Row Volume for a Sustainable Use of Copper in the Control of Citrus Canker. Plant Disease. 105(1). 183–192. 24 indexed citations
4.
Costa, R. V. da, J. E. Simón, L. V. Cota, et al.. (2019). Yield losses in off-season corn crop due to stalk rot disease. Pesquisa Agropecuária Brasileira. 54. 15 indexed citations
5.
Frare, G. F., Geraldo José da Silva, F. Lanza, et al.. (2018). Sweet Orange Fruit Age and Inoculum Concentration Affect the Expression of Citrus Black Spot Symptoms. Plant Disease. 103(5). 913–921. 15 indexed citations
6.
Cota, L. V., et al.. (2017). Quantification of yield losses caused by leaf anthracnose on sorghum in Brazil. Journal of Phytopathology. 165(7-8). 479–485. 16 indexed citations
7.
Lanza, F., Laércio Zambolim, R. V. da Costa, et al.. (2017). Symptomatological aspects associated with fungal incidence and fumonisin levels in corn kernels. Tropical Plant Pathology. 42(4). 304–308. 6 indexed citations
8.
Lanza, F., Laércio Zambolim, R. V. da Costa, et al.. (2016). Aplicação foliar de fungicidas e incidência de grãos ardidos e fumonisinas totais em milho. Pesquisa Agropecuária Brasileira. 51(5). 638–646. 12 indexed citations
9.
Zambolim, Laércio, et al.. (2016). A Method for Colletotrichum graminicola Inoculation in Maize Stalks. Revista Brasileira de Milho e Sorgo. 15(1). 53–64. 2 indexed citations
10.
Costa, R. V. da, et al.. (2014). Genotype rotation for leaf anthracnose disease management in sorghum. Crop Protection. 67. 145–150. 6 indexed citations
11.
Costa, R. V. da, et al.. (2014). Pathotypes of Colletotrichum sublineolum in Response to Sorghum Populations with Different Levels of Genetic Diversity in Sete Lagoas‐MG. Journal of Phytopathology. 163(7-8). 543–553. 9 indexed citations
12.
Lanza, F., Laércio Zambolim, C. R. Casela, et al.. (2013). ETIOLOGY AND EPIDEMIOLOGICAL VARIABLES ASSOCIATED WITH MAIZE RESISTANCE TO WHITE SPOT DISEASE. Journal of Plant Pathology. 95(2). 349–359. 4 indexed citations
13.
Costa, R. V. da, et al.. (2012). Efficiency of fungicides to control maize white spot.. Revista Brasileira de Milho e Sorgo. 11(3). 291–301. 2 indexed citations
14.
Costa, R. V. da, et al.. (2012). Eficiência de Fungicidas para o Controle da Mancha Branca do Milho. SHILAP Revista de lepidopterología. 11(3). 291–301. 4 indexed citations
15.
Costa, R. V. da, et al.. (2011). Controle químico de grãos ardidos em milho.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
16.
Cota, L. V., et al.. (2011). Recomendação para o controle químico da antracnose foliar do sorgo.. infoteca-e (Brazilian Agricultural Research Corporation). 1 indexed citations
17.
Capucho, Alexandre Sandri, Laércio Zambolim, Henrique da Silva Silveira Duarte, et al.. (2010). Influence of leaf position that correspond to whole plant severity and diagrammatic scale for white spot of corn. Crop Protection. 29(9). 1015–1020. 27 indexed citations
18.
Cota, L. V., R. V. da Costa, C. R. Casela, & F. Lanza. (2010). Efeito da podridão de colmo, causada por Colletotrichum graminicola, na produção da cultura do milho.. infoteca-e (Brazilian Agricultural Research Corporation). 1 indexed citations
19.
Lanza, F., et al.. (1990). Effects of sowing date and cultivar on yield, seed quality and oleic and linoleic acid content of oil in sunflowers (Helianthus annuus L.), grown as a catch crop.. 24. 250–256. 1 indexed citations
20.
Lanza, F.. (1960). The N manuring of maize. 1. Agronomical investigations.. Maydica. 5(3). 67–85. 1 indexed citations

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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